{"numFound":2342,"page":1,"rows":20,"url":"http://catalogue.ceh.ac.uk/eidc/documents","nextPage":"http://catalogue.ceh.ac.uk/eidc/documents?page=2","results":[{"publicationDate":"2022-03-28T00:00:00.000+00:00","metadataDate":"2026-04-14T10:26:46.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology","Agri Food and Biosciences Institute","unaffiliated"],"authorGivenName":["Y.S.","S.J.","E.J.","M.","I.","A.C.M.","A.","D.","C.F.","J.","M.G.","P.O.","B.","S.","E.","H.","C.","U."],"authorFamilyName":["Tang","Tomlinson","Carnell","Williams","Simmons","Twigg","Stephens","Iwanicka","Leaver","Braban","Mcllroy","Pereira","Keenan","Tanna","Thacker","Salisbury","Hunt","Guyatt","Smith","Graham","Dragosits"],"authorFullName":["Tang, Y.S.","Tomlinson, S.J.","Carnell, E.J.","Williams, M.","Simmons, I.","Twigg, M.","Stephens, A.C.M.","Iwanicka, A.","Leaver, D.","Braban, C.F.","Mcllroy, J.","Pereira, M.G.","Keenan, P.O.","Tanna, B.","Thacker, S.","Salisbury, E.","Hunt, A.","Guyatt, H.","Smith, H.","Graham, C.","Dragosits, U."],"authorOrcid":["https://orcid.org/0000-0002-7814-3998","https://orcid.org/0000-0003-0870-1955","https://orcid.org/0000-0003-3740-0019","https://orcid.org/0000-0002-9283-6467"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05c5y5q11"],"catalogue":"eidc","description":"This dataset is from the Northern Ireland (NI) ALPHA® Ammonia Monitoring network, and consists of monthly concentrations of atmospheric ammonia (NH3) gas measured with the UKCEH ALPHA® method at 25 sites across NI for the years 2019 to 2020.\n\nNH3 data were also collected with a monthly measurement frequency with the UKCEH DELTA® method at a further 4 sites, as part of the NI DELTA® Gas and Aerosol Monitoring Network. At one site, ALPHA® and DELTA® methods were co-located to inter-compare NH3 concentrations. Monthly NH3 data (2019 – 2020) from the NI DELTA® network are reported separately in a companion submission.\n\nThe network is operated jointly by Agri-Food and Biosciences Institute (AFBI) and the UK Centre for Ecology & Hydrology (UKCEH), and funded by the Department of Agriculture, Environment and Rural Affairs (DAERA), Northern Ireland.","documentType":"GEMINI_DOCUMENT","identifier":"7d380209-9df4-4686-b7ad-de39cca19cce","incomingCitationCount":0,"givenName":["Y.S.","S.J.","E.J.","M.","I.","A.C.M.","A.","D.","C.F.","J.","M.G.","P.O.","B.","S.","E.","H.","C.","U."],"familyName":["Tang","Tomlinson","Carnell","Williams","Simmons","Twigg","Stephens","Iwanicka","Leaver","Braban","Mcllroy","Pereira","Keenan","Tanna","Thacker","Salisbury","Hunt","Guyatt","Smith","Graham","Dragosits"],"fullName":["Tang, Y.S.","Tomlinson, S.J.","Carnell, E.J.","Williams, M.","Simmons, I.","Twigg, M.","Stephens, A.C.M.","Iwanicka, A.","Leaver, D.","Braban, C.F.","Mcllroy, J.","Pereira, M.G.","Keenan, P.O.","Tanna, B.","Thacker, S.","Salisbury, E.","Hunt, A.","Guyatt, H.","Smith, H.","Graham, C.","Dragosits, U."],"keyword":["Northern Ireland","Pollution","NH3","atmospheric","network","ALPHA","ammonia"],"keywordsPlace":["Northern Ireland"],"keywordsTheme":["Pollution"],"keywordsOther":["NH3","atmospheric","network","ALPHA","ammonia"],"licence":"Open government licence","lineage":"ALPHA® samplers were prepared and analysed by the UKAS accredited UKCEH Lancaster Laboratory, following protocols and procedures in manuals and Standard Operating Procedures (SOPs) developed and adopted in the UK National Ammonia Monitoring Network (NAMN), operated also by UKCEH.\n\nMeasurement frequency was monthly, with monthly site visits (± 5 days of the 1st of each calendar month) by a network of trained local site operators to exchange samples. \n\nSample exposure information (manual transcription from site recording sheets) and raw chemistry data files from analysed air samples (csv files) are stored, combined and processed in an oracle-based database (AAGA) to calculate and output calculated NH3 concentrations via a ShinyApp.\n\nOutput files are in a standardised reporting template, with data quality flags (based on flags defined in ebas;  https://projects.nilu.no/ccc/flags/). Each output file generated are time-stamped, with versioning control. \nAn annual field calibrated ALPHA® uptake rate from the UK National Ammonia Monitoring Network project (https://uk-air.defra.gov.uk/networks/network-info?view=nh3) was applied to the ALPHA® data for the corresponding calendar year.\n\nRatified data were generated following a multi-stage, iterative review process, with both automatic and manual data checks, in accordance with procedures in the AAGA data processing system and data review SOPs.","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/0000-0002-7814-3998","https://orcid.org/0000-0003-0870-1955","https://orcid.org/0000-0003-3740-0019","https://orcid.org/0000-0002-9283-6467"],"organisation":["UK Centre for Ecology & Hydrology","Agri Food and Biosciences Institute","unaffiliated","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7d380209-9df4-4686-b7ad-de39cca19cce","10.5285/7d380209-9df4-4686-b7ad-de39cca19cce","doi::10.5285/7d380209-9df4-4686-b7ad-de39cca19cce"],"availability":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Agri Food and Biosciences Institute"],"ror":["https://ror.org/00pggkr55","https://ror.org/05c5y5q11","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Information on the ALPHA® and DELTA® NH3 monitoring protocols from the national network, and on annual ALPHA® field calibrated uptake rates, which were applied in the Northern Ireland NH3 network."],"supplementalName":["UKEAP National Ammonia Monitoring Network – atmospheric ammonia gas and ammonium aerosol data (since 1996)","UKEAP National Ammonia Monitoring Network (NAMN)  "],"title":"Monthly atmospheric ammonia gas concentration data from Northern Ireland ALPHA® Ammonia Monitoring Network, 2019-2020","topic":["0/Pollution/"],"version":1.0,"dataFormat":["Comma-separated values (CSV)"],"view":["public","crimar"],"shortenedDescription":"This dataset is from the Northern Ireland (NI) ALPHA® Ammonia Monitoring network, and consists of monthly concentrations of atmospheric ammonia (NH3) gas measured with the UKCEH ALPHA® method at 25 sites across NI for the years 2019 to 2020.\n\nNH3 data were also collected..."},{"publicationDate":"2026-03-25T00:00:00.000+00:00","metadataDate":"2026-04-22T13:52:52.000+00:00","authorAffiliation":["Indian Institute of Technology Hyderabad, India","Indian Institute of Technology, Hyderabad, India","Newcastle University","Indian Institute of Technology Gandhinagar, India","University of Birmingham"],"authorGivenName":["Vikas","Arun","Rebeca","Sai Sugitha","Ankit","Cansu","Sangeetha","Pranab Kumar","Joshua","David W","Shashidhar","Jan-Ulrich"],"authorFamilyName":["Sonkar","Kashyap","Pallares-Vega","Sasidharan","Modi","Uluseker","Chandrakalabai Jambu","Mohapatra","Larsen","Graham","Thatikonda","Kreft"],"authorFullName":["Sonkar, V.","Kashyap, A.","Pallares-Vega, R.","Sasidharan, S.S.","Modi, A.","Uluseker, C.","Chandrakalabai Jambu, S.","Mohapatra, P.K.","Larsen, J.","Graham, D.W.","Thatikonda, S.","Kreft, J."],"authorOrcid":["https://orcid.org/0000-0002-1011-1164","https://orcid.org/0009-0009-4060-7409","https://orcid.org/0000-0002-2960-9368","https://orcid.org/0009-0008-4349-5871","https://orcid.org/0000-0003-4667-4839","https://orcid.org/0000-0001-9828-0458","https://orcid.org/0000-0002-3297-3486","https://orcid.org/0000-0002-0650-7369","https://orcid.org/0000-0002-9753-496X","https://orcid.org/0000-0003-2973-2224","https://orcid.org/0000-0002-2351-224X"],"catalogue":"eidc","description":"The data comprises all standard water quality parameters (including chemical oxygen demand, pH, dissolved oxygen, total dissolved solids), viable counts of heterotrophic bacteria and resistant bacteria and Escherichia coli, qPCR measured concentrations of 7 antibiotic resistance genes, 1 mobile genetic element gene, an E. coli specific gene and 16S rDNA. Samples were taken from the Musi river, upstream, within the city of Hyderabad, India, and downstream of the city, during the wet season of 2022 and the dry season of 2023. The Musi catchment is both rural and urban, including many residential communities, hospitals and factories. Downstream of the city, land use includes agriculture and aquaculture, with less human impact than within the city stretch. Sampling sites were chosen to contrast upstream water conditions with sites in the city and downstream.\nBoth water and sediment grab samples were collected by a team from the Indian Institute of Technology Hyderabad. The data was collected to study the sources and fate of pollution with antimicrobial resistance.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council","University Grant Commission (UGC), India","Department of Biotechnology (DBT), India"],"grant":["NE/T013222/1","F.82-1/2018 (SA-III)","BT/IN/Indo-UK/AMR-Env/03/ST/2020-21"],"identifier":"42e992f7-67b1-44dd-90de-f5990269b00e","incomingCitationCount":0,"givenName":["Vikas","Arun","Rebeca","Sai Sugitha","Ankit","Cansu","Sangeetha","Pranab Kumar","Joshua","David W","Shashidhar","Jan-Ulrich"],"familyName":["Sonkar","Kashyap","Pallares-Vega","Sasidharan","Modi","Uluseker","Chandrakalabai Jambu","Mohapatra","Larsen","Graham","Thatikonda","Kreft"],"fullName":["Jan-Ulrich Kreft","Sonkar, V.","Kashyap, A.","Pallares-Vega, R.","Sasidharan, S.S.","Modi, A.","Uluseker, C.","Chandrakalabai Jambu, S.","Mohapatra, P.K.","Larsen, J.","Graham, D.W.","Thatikonda, S.","Kreft, J."],"keyword":["Hyderabad","Water quality","Environmental risk","Environmental survey","Pollution","antimicrobial resistance","antibiotic resistance","Antibiotic resistant bacteria","Antibiotic resistance genes","Wastewater","River","Urban"],"keywordsPlace":["Hyderabad"],"keywordsTheme":["Water quality","Environmental risk","Environmental survey","Pollution"],"keywordsOther":["antimicrobial resistance","antibiotic resistance","Antibiotic resistant bacteria","Antibiotic resistance genes","Wastewater","Pollution","River","Urban","Water quality"],"licence":"Open government licence","lineage":"Water and sediment grab samples were collected at 10 locations along the Musi River, 1 upstream of the city (relatively clean), 8 within the city of Hyderabad (heavily polluted) and 2 downstream (pollution partially cleared), during the wet (18-19 August 2022) and dry (11-12 March 2023) seasons. Sampling occurred on days without rainfall for the preceding five days to minimize storm-related variability. At most sites, duplicate water samples were collected mid-stream from bridges using a bucket suspended on a rope and transferred to pre-sterilised bottles. Sub-samples were preserved immediately with H2SO4 for chemical oxygen demand (COD) analysis, whereas water temperature, pH, dissolved oxygen (DO), TDS and conductivity were measured on-site.\n\nWater quality and sediment physicochemical parameters were measured using standard protocols. Dry matter (DM) and organic matter (OM) fractions were quantified using standard methods to establish a common basis for concentrations of bacteria and genes across sediment samples with different mineral content. Viable counts were taken on different media. E. coli was quantified on Tryptone Bile X-β-D-glucuronide agar as blue-green colonies, incubated at 44°C, as an indicator of faecal pollution and sentinel for AMR prevalence. 'Total' Gram-negative (GN) heterotrophic bacteria were enumerated on SDS-supplemented OECD synthetic sewage medium (OSS) at both 30°C for environmental and 44°C for gut-associated bacteria. Extended-spectrum β-lactamase (ESBL)-producing and carbapenem-resistant (CARB) GN heterotrophic subpopulations were enumerated on OSS supplemented with appropriate selective antibiotics. These clinically relevant resistance phenotypes were selected as GN bacteria account for the majority of global AMR-attributable mortality. All samples were plated in triplicate within 24 hours of collection, and colony counts recorded after 24 hours of incubation.\n\nDNA from both water and sediment samples was extracted within 24 hours of sampling. Using qPCR, the 16S rDNA gene was quantified as a proxy for total prokaryotes and to compare with culturing data. Antimicrobial resistance genes (ARGS) included genes coding for resistance to fluoroquinolones (qnrS), aminoglycosides (aph(3'')-Ib), sulfonamides (sul2), carbapenems and third-generation cephalosporins (blaNDM and blaCTX-M), macrolides (ermF), and tetracyclines (tetW). Two more genes were included: uidA to quantify E. coli numbers and intI1 to quantify class I integrons as a proxy for mobile genetic elements (MGEs). \n\nSynthetic DNA fragments containing suites of target genes were used as positive controls and to create standard curves, for which ten-fold serial dilutions of gene fragments were performed in DNase/RNase-free water. Every sample was analysed in technical duplicates. Standard curves were included in each PCR plate with at least seven serial dilution points and technical duplicates. A joint standard curve based on standard curves from every run was created for every gene set. Concentrations of genes in the samples were then calculated using this joint standard curve.","locations":["POLYGON((78.3 17.2, 78.3 17.4, 79.5 17.4, 79.5 17.2, 78.3 17.2))"],"orcid":["https://orcid.org/0000-0002-1011-1164","https://orcid.org/0009-0009-4060-7409","https://orcid.org/0000-0002-2960-9368","https://orcid.org/0009-0008-4349-5871","https://orcid.org/0000-0003-4667-4839","https://orcid.org/0000-0001-9828-0458","https://orcid.org/0000-0002-3297-3486","https://orcid.org/0000-0002-0650-7369","https://orcid.org/0000-0002-9753-496X","https://orcid.org/0000-0003-2973-2224","https://orcid.org/0000-0002-2351-224X"],"organisation":["University of Birmingham","Indian Institute of Technology Hyderabad, India","Indian Institute of Technology, Hyderabad, India","Newcastle University","Indian Institute of Technology Gandhinagar, India","Indian Institute of Technology Hyderabad","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/42e992f7-67b1-44dd-90de-f5990269b00e","10.5285/42e992f7-67b1-44dd-90de-f5990269b00e","doi::10.5285/42e992f7-67b1-44dd-90de-f5990269b00e"],"availability":"Available","resourceType":"Dataset","rightsHolder":["Indian Institute of Technology Hyderabad","University of Birmingham"],"ror":["https://ror.org/03angcq70","https://ror.org/04xw4m193"],"state":"published","title":"Water quality measurements and antimicrobial resistance in the Musi River, Hyderabad, India, 2022-2023","topic":["0/Water quality/","0/Environmental risk/","0/Environmental survey/","0/Pollution/"],"version":1.0,"dataFormat":["Plain text"],"view":["public","katwri"],"shortenedDescription":"The data comprises all standard water quality parameters (including chemical oxygen demand, pH, dissolved oxygen, total dissolved solids), viable counts of heterotrophic bacteria and resistant bacteria and Escherichia coli, qPCR measured concentrations of 7 antibiotic..."},{"publicationDate":"2023-03-08T00:00:00.000+00:00","metadataDate":"2026-04-14T10:32:53.000+00:00","authorAffiliation":["University of York","University of Gothenburg"],"authorGivenName":["J.B.","S.","P.","L.","J."],"authorFamilyName":["Keane","Toet","Weslien","Klemedtsson","Stockdale","Ineson"],"authorFullName":["Keane, J.B.","Toet, S.","Weslien, P.","Klemedtsson, L.","Stockdale, J.","Ineson, P."],"authorOrcid":["https://orcid.org/0000-0001-7614-8018","https://orcid.org/0000-0001-7657-4607","https://orcid.org/0000-0001-6626-2925","https://orcid.org/0000-0002-1122-0717","https://orcid.org/0000-0001-7248-0451","https://orcid.org/0000-0002-5194-0022"],"catalogue":"eidc","description":"Net ecosystem exchange and methane fluxes were measured from a hemi-boreal ombrotrophic fen in Southern Sweden. An automated chamber system, SkyLine2D, was used to measure the fluxes  near-continuously from August 2017 to September 2019. Four ecotypes were identified: sphagnum (Sphagnum spp), eriophorum, heather and water, to assess how these different ecotypes would respond to drought. The 2018 drought allowed comparison of fluxes between drought and non-drought years (May to September), and their recovery the following year. \n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council","EU Cost Action","Swedish Infrastructure for Ecosystem Science "],"grant":["NE/P008690/1","COST-STSM-ECOST-STSM-ES1308-080216-068955"],"identifier":"d7bfc4ed-8ead-4d06-8e45-b592c1f48f3f","incomingCitationCount":0,"givenName":["J.B.","S.","P.","L.","J.","Sylvia"],"familyName":["Keane","Toet","Weslien","Klemedtsson","Stockdale","Ineson"],"fullName":["Keane, J.B.","Toet, S.","Weslien, P.","Klemedtsson, L.","Stockdale, J.","Ineson, P."],"keyword":["Climate and climate change","ombrotrophic fen","hemi-boreal","Peatland","vegetation","greenhouse gas","carbon dioxide","carbon","methane","peat","fen","drought"],"keywordsTheme":["Climate and climate change"],"keywordsOther":["ombrotrophic fen","hemi-boreal","Peatland","vegetation","greenhouse gas","carbon dioxide","carbon","methane","peat","fen","drought"],"licence":"Open government licence","lineage":"Near continuous methane and CO2 fluxes measured along a transect on an ombrotrophic fen in Southern Sweden from August 2017-September 2019 using an automated greenhouse gas flux platform SkyLine2D.  \nThe impacts of drought (in 2018 the mire experienced drought conditions) and different vegetation types (sedge, heather, sphagnum or open water; 6 replicated for each) on the fluxes were determined.\nFluxes were measured within collars of 20-cm diameter, 4-min at each collar.   CH4 and CO2 fluxes were detected using  a Licor infrared gas analyser (IRGA, LI-8100, Licor, NE, USA) to measure CO2 and a cavity ringdown laser (CRD, LGR U-GGA-91, Los Gatos Research, CA USA) to measure both CO2 and CH4. \n Fluxes of CO2 and CH4 were calculated using linear regression; a deadband of at least 20 seconds was allowed for the chamber headspace to mix and a window of 90 seconds was used for CO2 and 240 seconds used for CH4. Fluxes were adjusted for area, air temperature and gas volume. Further adjustment was made to the CO2 fluxes during daylight hours based upon the light response curve to account for attenuation of light by the chamber material, after.\nAll data manipulation and analyses were carried out using SAS 9.4 (SAS Institute, CA 161 USA). \nGHG flux data (for both CO2 and CH4) were quality controlled in the first instance using the R2 statistic of the CO2 flux measurement, with values < 0.9 discarded. \nMeasurements passing this threshold were then assessed using the output statistics from the regression calculation of CH4 fluxes, where regressions with a P value < 0.05 were accepted, while those that did not were treated as zero flux. Data outliers were defined as those ± 1.96 standard errors of the mean flux value for each collar and were excluded from the analyses. \nData were further filtered to account for overestimation of fluxes during still atmospheric night-time conditions. Using the procedure fluxes where the mean CO2 concentration for the 20 second period before and after chamber closure dropped by more than 25 ppm where discounted. \n","locations":["POLYGON((12 58.3, 12 58.4, 12.2 58.4, 12.2 58.3, 12 58.3))"],"orcid":["https://orcid.org/0000-0001-7614-8018","https://orcid.org/0000-0001-7657-4607","https://orcid.org/0000-0001-6626-2925","https://orcid.org/0000-0002-1122-0717","https://orcid.org/0000-0001-7248-0451","https://orcid.org/0000-0002-5194-0022"],"organisation":["University of York","University of Gothenburg","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d7bfc4ed-8ead-4d06-8e45-b592c1f48f3f","10.5285/d7bfc4ed-8ead-4d06-8e45-b592c1f48f3f","doi::10.5285/d7bfc4ed-8ead-4d06-8e45-b592c1f48f3f"],"availability":"Available","resourceType":"Dataset","rightsHolder":["University of York"],"ror":["https://ror.org/04xw4m193","https://ror.org/04m01e293"],"state":"published","title":"CO2 and CH4 fluxes measured using static chamber technique from a hemi-boreal ombrotrophic fen in drought and non-drought years, Mycklemossen, Sweden, 2017-2019","topic":["0/Climate and climate change/"],"version":1.0,"dataFormat":["Comma-separated values (CSV)"],"view":["public","clwe"],"shortenedDescription":"Net ecosystem exchange and methane fluxes were measured from a hemi-boreal ombrotrophic fen in Southern Sweden. An automated chamber system, SkyLine2D, was used to measure the fluxes  near-continuously from August 2017 to September 2019. Four ecotypes were identified:..."},{"publicationDate":"2019-09-11T00:00:00.000+00:00","metadataDate":"2026-04-14T10:27:30.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["R.I.","J.","G.","T.I."],"authorFamilyName":["Griffiths","Puissant","Dos Santos Pereira","Goodall"],"authorFullName":["Griffiths, R.I.","Puissant, J.","Dos Santos Pereira, G.","Goodall, T.I."],"authorOrcid":["https://orcid.org/0000-0002-3341-4547","https://orcid.org/0000-0003-3740-0019"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"Data are presented for soil state and environmental parameters of soil samples collected from paired intensive and extensive grassland systems, including low and high pH parent soils, from 32 sites across the United Kingdom. The samples were collected during winter and spring 2015-2016 by project staff experienced in soil core collection. Samples were subdivided for subsequent analysis of total Nitrogen, total Carbon, total organic Carbon, total Phosphorus, soil pH, soil moisture, loss on ignition, sand, silt, clay texture, Fourier-transform infrared spectroscopy (FT-IR) spectra and bulk density.\n\nThe data were collected to help understand soil functional change in a variety of management and climatic scenarios as part of NERC U-GRASS (Understanding and enhancing soil ecosystem services and resilience in UK grass and croplands) award (NERC Reference NE/M017125/1) part of the NERC Soil Security Programme.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/M017125/1"],"identifier":"2a817dbf-097f-45b4-85bd-745f4e78e656","incomingCitationCount":0,"givenName":["Tim","R.I.","J.","G.","T.I."],"familyName":["Goodall","Griffiths","Puissant","Dos Santos Pereira"],"fullName":["Goodall, T.","Griffiths, R.I.","Puissant, J.","Dos Santos Pereira, G.","Goodall, T.I."],"keyword":["U-GRASS","Understanding and enhancing soil ecosystem services and resilience in UK grass and croplands","Soil","Physical parameters","Chemical parameters","Paired","total nitrogen","total carbon","total phosphorus","soil pH","LOI","clay texture","grassland","soil","silt","sand","total organic carbon","loss on ignition","soil moisture","land use"],"keywordsProject":["U-GRASS","Understanding and enhancing soil ecosystem services and resilience in UK grass and croplands"],"keywordsTheme":["Soil"],"keywordsOther":["Physical parameters","Chemical parameters","Paired","total nitrogen","total carbon","total phosphorus","soil pH","LOI","clay texture","grassland","soil","silt","sand","total organic carbon","loss on ignition","soil moisture","land use"],"licence":"Open government licence","lineage":"Soil samples were collected from 32 grassland sites across the United Kingdom and stored frozen at –20 degrees Celsius prior to subsequent processing for chemical, physical, molecular and functional characteristics. Analysis was carried out for total Nitrogen, total Carbon, total organic Carbon, total Phosphorus (CEH Lancaster), soil pH, Fourier-transform infrared spectroscopy (FT-IR) spectra, bulk density (CEH Wallingford) , soil moisture, loss on ignition (CEH Lancaster and Wallingford), sand, silt, clay texture (NRM Laboratories). Results were returned from the laboratories compiled into an Excel spreadsheet. The compiled data set was exported as a comma separated value file for deposition into the EIDC.","locations":["POLYGON((-4.828 50.437, -4.828 56.249, 0.797 56.249, 0.797 50.437, -4.828 50.437))"],"orcid":["https://orcid.org/0000-0002-3341-4547","https://orcid.org/0000-0003-3740-0019"],"organisation":["NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre","UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2a817dbf-097f-45b4-85bd-745f4e78e656","10.5285/2a817dbf-097f-45b4-85bd-745f4e78e656","doi::10.5285/2a817dbf-097f-45b4-85bd-745f4e78e656"],"availability":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/04xw4m193","https://ror.org/00pggkr55"],"state":"published","title":"Soil state and environmental parameters across geo-linked sampling locations on grassland, UK (2016)","topic":["0/Soil/"],"version":1.0,"dataFormat":["Comma-separated values (CSV)"],"view":["public","danor"],"shortenedDescription":"Data are presented for soil state and environmental parameters of soil samples collected from paired intensive and extensive grassland systems, including low and high pH parent soils, from 32 sites across the United Kingdom. The samples were collected during winter..."},{"publicationDate":"2021-08-31T00:00:00.000+00:00","metadataDate":"2026-04-22T13:52:55.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology","Adam Mickiewicz University"],"authorGivenName":["A.","W.","K.","S."],"authorFamilyName":["Perry","Wachowiak","Donnelly","Cavers"],"authorFullName":["Perry, A.","Wachowiak, W.","Donnelly, K.","Cavers, S."],"authorOrcid":["https://orcid.org/0000-0002-7889-7597","https://orcid.org/0000-0003-2898-3523","https://orcid.org/0000-0003-2139-9236"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset contains details of the phenotypes (height, bud set and budburst) and genotypes (via SNP array) of trees from a common garden multi-species pine (Pinus sylvestris, Pinus mugo and Pinus uncinata) glasshouse trial between 2010 and 2013.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/K012177/1"],"identifier":"55118e26-cf5c-41d6-9157-738fce6bdddf","incomingCitationCount":0,"givenName":["A.","W.","K.","S."],"familyName":["Perry","Wachowiak","Donnelly","Cavers"],"fullName":["Perry, A.","Wachowiak, W.","Donnelly, K.","Cavers, S."],"keyword":["Phenology","budburst","height","SNP array","genotypes","Scots pine"],"keywordsTheme":["Phenology"],"keywordsOther":["budburst","height","SNP array","genotypes","Scots pine"],"licence":"Open government licence","lineage":"A common garden glasshouse trial was established in 2010 using seed from natural populations from three species of pine: Pinus sylvestris (SY), Pinus mugo (MU), Pinus uncinata (UN). Open-pollinated seeds were collected from three to five trees per population from twenty-eight natural populations in Europe covering the geographic range of each species. The collection consisted of thirteen populations of SY, nine MU, and six UN. The trial was divided into 25 randomized blocks with up to five families per population, of which the first 18 blocks were analysed by Wachowiak et al. (2018a).\n\nPhenotypes (height, bud set and budburst) were assessed in the glasshouse during spring (budburst), autumn (bud set) and winter (height) between 2010 and 2013. \n\nA subset of trees were selected to be genotyped using a multi-species SNP array. Trees were genotyped using a multi-species SNP array (Perry et al., 2020). DNA was extracted from needles using a Qiagen DNeasy 96 kit following the manufacturer’s instructions. Needles were dried on silica gel prior to extraction and DNA was quantified using a Qubit spectrophotometer to ensure a minimum standardized concentration of 35ng/µl. The quality of genomic DNA was also checked visually for fragmentation on 1 % agarose gel.\n\nGenotyping was done at Edinburgh Genomics following DNA amplification, fragmentation, chip hybridisation, single-base extension through DNA ligation and signal amplification performed according to the Affymetrix Axiom® Assay protocol. Genotyping was performed in 384-well format on a GeneTitan according to the manufacturer’s procedure. Genotype calls were performed using Axiom Analysis Suite software as recommended by the manufacturer (ThermoFisher). Samples were assigned to an analysis group based on their call rate (CR) and dish QC (DQC: a metric provided by ThermoFisher which is generated by measuring signals at multiple sites in the genome known not to vary among individuals), using the following thresholds: DQC ‘high’ ≥ 0.82; DQC ‘low’ < 0.82; CR ‘high’ ≥ 96; CR ‘low’ < 96. Analyses: 1) DQC high + CR high; 2) DQC high + CR low; 3) DQC low + CR low. High quality samples (N=529), with high CR and DQC, were used to set thresholds for allele calls. Posteriors for allele calls were subsequently used as priors for analyses 2 (N = 753) and 3 (N = 251).","locations":["POLYGON((-3.358 55.877, -3.358 56.003, -3.013 56.003, -3.013 55.877, -3.358 55.877))"],"orcid":["https://orcid.org/0000-0002-7889-7597","https://orcid.org/0000-0003-2898-3523","https://orcid.org/0000-0003-2139-9236"],"organisation":["UK Centre for Ecology & Hydrology","Adam Mickiewicz University","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/55118e26-cf5c-41d6-9157-738fce6bdddf","10.5285/55118e26-cf5c-41d6-9157-738fce6bdddf","doi::10.5285/55118e26-cf5c-41d6-9157-738fce6bdddf"],"availability":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Single nucleotide polymorphism (SNP) genotypes and phenotypes for marker-trait association analysis of three pine species grown in a glasshouse","topic":["0/Phenology/"],"version":1.0,"dataFormat":["Plain text"],"view":["public","margla"],"shortenedDescription":"This dataset contains details of the phenotypes (height, bud set and budburst) and genotypes (via SNP array) of trees from a common garden multi-species pine (Pinus sylvestris, Pinus mugo and Pinus uncinata) glasshouse trial between 2010 and 2013."},{"publicationDate":"2019-09-13T00:00:00.000+00:00","metadataDate":"2026-04-14T10:29:20.000+00:00","authorAffiliation":["Rothamsted Research"],"authorGivenName":["C. J."],"authorFamilyName":["Hodgson"],"authorFullName":["Hodgson, C.J."],"authorOrcid":["https://orcid.org/0000-0003-4067-3210"],"authorRor":["https://ror.org/0347fy350"],"catalogue":"eidc","description":"The data consists of faecal microbiology and moisture content taken from two separate cohorts of 30 cattle. The cattle were from the North Wyke Farm Platform, a UK national capability, located at Rothamsted Research, North Wyke in Devon. Faecal samples were collected between November 2016 and July 2018. Samples were collected and microbiologically analysed in the laboratory within 6 to 8 hours.  \n\nTwo cohorts of 30 cattle were selected from 90 animals, ten from each of the three farmlets. Each cohort covering the period that cattle enter the farm platform, i.e. from weaning until slaughter ca. 16 – 20 months.\n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/N019792/1"],"identifier":"ec83a4ea-923a-4f02-8a9f-aeecc43d7123","incomingCitationCount":0,"givenName":["C. J.","Chris"],"familyName":["Hodgson"],"fullName":["Hodgson, C.J.","Hodgson, C."],"keyword":["Agriculture","E. coli"],"keywordsTheme":["Agriculture"],"keywordsOther":["E. coli"],"licence":"Open government licence","lineage":"Faecal samples were taken by members of staff from Rothamsted Research North Wyke. In the laboratory one gram of faecal material was aseptically transferred to nine ml of sterile Ringers (Oxoid, Basingstoke, UK) and appropriate serial 10-fold dilutions were made. An aliquot (0.1 ml) was plated in duplicate on to Membrane Lactose Glucuronide Agar (MLGA) (Oxoid) and spread across the surface of the agar using a disposal plastic spreader (VWR). Antibiotics were added to the MLGA at suitable concentrations after autoclaving and prior to pouring the plates. Antibiotics were added at the following rates; 16 mg/l for tetracycline and cephalexin, 1.0 mg/l marbofloxacin, 8 mg/l meropenem. All plates were allowed to air dry prior to inversion and incubation, at 44.5 ◦C (±0.2 ◦C) for 18–24 h. Colonies were counted, after incubation, and reported as E.coli colony forming units (CFU) per gram fresh weight and also on a dry weight basis.  All colony counts were further transformed by log to base 10.\nGravimetric moisture content of faecal samples, approximately 50 g of faecal material was accurately weighed into a pre-weighed silver foil container and dried in an oven at 105 ◦C, until constant weight. To calculate % dry matter: 100 – (((fresh wt.-Dry wt.) /(fresh wt.))*100), effectively 100 – moisture content. \nThe establishment licence under which the experiment was conducted was XA11784A2 and the project licence was P592D2677.\n\nData was collected for the NERC funded “Does the potential for AMR selection differ between common UK cattle grazing systems?” NE/N019792/1. \n","locations":["POLYGON((-3.931 50.744, -3.931 50.77, -3.877 50.77, -3.877 50.744, -3.931 50.744))"],"orcid":["https://orcid.org/0000-0003-4067-3210"],"organisation":["Rothamsted Research","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ec83a4ea-923a-4f02-8a9f-aeecc43d7123","10.5285/ec83a4ea-923a-4f02-8a9f-aeecc43d7123","doi::10.5285/ec83a4ea-923a-4f02-8a9f-aeecc43d7123"],"availability":"Available","resourceType":"Dataset","ror":["https://ror.org/0347fy350","https://ror.org/04xw4m193"],"state":"published","title":"E. coli counts of fresh cattle faeces from the North Wyke Farm Platform","topic":["0/Agriculture/"],"version":1.0,"dataFormat":["Comma-separated values (CSV)"],"view":["public","clwe"],"shortenedDescription":"The data consists of faecal microbiology and moisture content taken from two separate cohorts of 30 cattle. The cattle were from the North Wyke Farm Platform, a UK national capability, located at Rothamsted Research, North Wyke in Devon. Faecal samples were collected..."},{"publicationDate":"2023-09-12T00:00:00.000+00:00","metadataDate":"2026-04-14T10:31:39.000+00:00","authorAffiliation":["Universidad Nacional de Colombia","Fauna and Flora International","University of Tolima","University of Exeter"],"authorGivenName":["Beatriz","L.H.","J.","L.G.","T.","Ted R."],"authorFamilyName":["Salgado-Negret","Hernández-Torres","Serrano","López","Pennington","Feldpausch"],"authorFullName":["Salgado-Negret, B.","Hernández-Torres, L.H.","Serrano, J.","López, L.G.","Pennington, T.","Feldpausch, T.R."],"authorOrcid":["https://orcid.org/0000-0002-3103-9878","https://orcid.org/0009-0009-3753-6304","https://orcid.org/0000-0002-9751-5339","https://orcid.org/0000-0002-3851-0714","https://orcid.org/0000-0002-8196-288X","https://orcid.org/0000-0002-6631-7962"],"authorRor":["https://ror.org/059yx9a68","https://ror.org/0325pd582","https://ror.org/011bqgx84","https://ror.org/03yghzc09"],"catalogue":"eidc","description":"The dataset contains information on six functional traits of woody plants, including Leaf Area, Specific Leaf Area (SLA), Leaf Dry Matter Content (LDMC), Leaf Thickness (Lth), Wood Density (WD), Bark Thickness (BT). It also includes data on concentrations of C, N, P, Ca, Mg, and K in leaves; leaf fresh mass and leaf dry mass data; and fresh wood volume and dry wood mass data to calculate Wood Density. Ten leaves per individual were sampled, and three measurements were taken for leaf thickness at the base, middle, and top of the leaf. For wood density, a single branch sample was taken per individual and for bark thickness five measurements per individual were made. The data were collected between 2019 and 2022 from 27 forest monitoring plots (0.5 ha each) in five locations along an altitudinal (lowland, mid-elevation, and highland forests) and forest perturbation (low, medium, and high perturbation levels) gradient in Andean ecosystems in Colombia. The database includes information about the plot location and parameters of the locality. \n\nThe purpose of this data collection was to determine whether the expression of functional traits in woody plants differs between the perturbation gradient and the relationship of the traits to ecosystem processes. This information is important for understanding the drivers of variation in forest resilience and the impacts of perturbation on ecosystem functioning. This data set was obtained within the framework of the BioResilience project, a transdisciplinary investigation that seeks to understand the resilience of forest ecosystems after the post-conflict period in Colombia. ","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R017980/1"],"identifier":"0da218a8-2882-4ee7-bb2a-50a51f7f4138","incomingCitationCount":0,"givenName":["Beatriz","L.H.","J.","L.G.","T.","Ted R."],"familyName":["Salgado-Negret","Hernández-Torres","Serrano","López","Pennington","Feldpausch"],"fullName":["Salgado-Negret, B.","Hernández-Torres, L.H.","Serrano, J.","López, L.G.","Pennington, T.","Feldpausch, T.R."],"keyword":["Human modified tropical forests","Colombian Andean","Altitudinal gradient","Human perturbation gradient","Functional traits","forest ecology"],"keywordsProject":["Human modified tropical forests"],"keywordsOther":["Colombian Andean","Altitudinal gradient","Human perturbation gradient","Functional traits","forest ecology"],"licence":"Open government licence","lineage":"Forest plant trait data was obtained through direct sampling in a network of permanent forest plots of 0.5 hectares, each, located across an altitude and perturbation gradient in the Andean ecosystems of Colombia. The study collected foliar and bark data from trees, including leaf carbon, nitrogen, phosphorus, calcium, magnesium, potassium, specific leaf area, leaf dry matter content, leaf thickness, leaf area, leaf fresh mass, leaf dry mass, wood mass dry, wood density, bark thickness, and wood volume fresh. In each plot, mature trees meeting certain criteria were selected, and from each selected tree a branch with leaves and a piece of wood were collected. The leaves were randomly selected and placed on an A4 size sheet, while the piece of wood was 10 cm long and between 1 and 2 cm in diameter. Each sample was labeled with the plot code and tree number for identification. All measurements were conducted according to the methodology described by Salgado-Negret et al. (2016). The study used various techniques to calculate these parameters and ensured data quality by calculating the average for each individual considering the replicas.","locations":["POLYGON((-75.55 4.9, -75.55 6.1, -73.16 6.1, -73.16 4.9, -75.55 4.9))"],"orcid":["https://orcid.org/0000-0002-3103-9878","https://orcid.org/0009-0009-3753-6304","https://orcid.org/0000-0002-9751-5339","https://orcid.org/0000-0002-3851-0714","https://orcid.org/0000-0002-8196-288X","https://orcid.org/0000-0002-6631-7962"],"organisation":["Universidad Nacional de Colombia","Fauna and Flora International","University of Tolima","University of Exeter","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0da218a8-2882-4ee7-bb2a-50a51f7f4138","10.5285/0da218a8-2882-4ee7-bb2a-50a51f7f4138","doi::10.5285/0da218a8-2882-4ee7-bb2a-50a51f7f4138"],"availability":"Available","resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/059yx9a68","https://ror.org/0325pd582","https://ror.org/011bqgx84","https://ror.org/03yghzc09","https://ror.org/04xw4m193"],"state":"published","title":"Functional traits of woody plants sampled in permanent forest monitoring plots along altitudinal and forest perturbation gradients in the Colombian Andes, 2019-2022","version":1.0,"dataFormat":["Comma-separated values (CSV)"],"view":["public","clwe"],"shortenedDescription":"The dataset contains information on six functional traits of woody plants, including Leaf Area, Specific Leaf Area (SLA), Leaf Dry Matter Content (LDMC), Leaf Thickness (Lth), Wood Density (WD), Bark Thickness (BT). It also includes data on concentrations of C, N, P,..."},{"publicationDate":"2023-03-07T00:00:00.000+00:00","metadataDate":"2026-04-14T10:33:01.000+00:00","authorAffiliation":["University of Leeds"],"authorGivenName":["R.P.","J.","S.F.P."],"authorFamilyName":["Grayson","Holden","Hunt"],"authorFullName":["Grayson, R.P.","Holden, J.","Hunt, S.F.P."],"authorOrcid":["https://orcid.org/0000-0003-3637-3987","https://orcid.org/0000-0002-1108-4831"],"authorRor":["https://ror.org/024mrxd33"],"catalogue":"eidc","description":"This dataset provides saturated hydraulic conductivity values which were obtained from samples of peat. The peat was collected adjacent to erosion gullies that were either open, or adjacent to dams on gullies which had been installed as part of peatland restoration. The sites studied were Kinder Scout and Withens Clough in the Peak District, northern England. Values of saturated hydraulic conductivity were obtained from replicate samples. At each sampling location values were obtained for 5 cm long peat samples across three depth ranges (0-10 cm, 35-45 cm, 75-85 cm), and three distances from gully edges (0 cm, 100 cm, 500 cm). Comparisons were made between peat next to blocked gully dams and peat not adjacent to a gully dam and between the two peatland sites. The work was supported by the Natural Environment Research Council (Grant NE/R004595/1).","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R004595/1"],"identifier":"0567ac9f-3e35-4f41-9efa-8e97948401f8","incomingCitationCount":0,"givenName":["R.P.","J.","S.F.P."],"familyName":["Grayson","Holden","Hunt"],"fullName":["Grayson, R.P.","Holden, J.","Hunt, S.F.P."],"keyword":["saturated hydraulic conductivity","wetland","gully","Peak District","blanket bog","peat","permeability"],"keywordsOther":["saturated hydraulic conductivity","wetland","gully","Peak District","blanket bog","peat","permeability"],"licence":"Open government licence","lineage":"At each site the sample was extracted from the surface (0-10 cm) by pushing in a 10 cm x 10 cm x 10 cm box corer and cutting underneath it to remove the peat. At the gully edge the same method was used to extract the 35-45 cm depth and 75-85 cm depth sample from the gully face. At the sample points that were 1 m and 5 m from the gully edge, a 1 m long, 110 mm diameter tube corer was used to extract the subsurface samples.\n\nThe samples were returned to the laboratory and saturated hydraulic conductivity was measured using a split cylinder method. A cylindrical sample is cut from a frozen cube of peat, allowed to thaw, and gently enclosed in an acrylic split-cylinder, coated on the inside with a soft silicone grease or petroleum jelly, thus preventing preferential flow.  \n\nThe samples were saturated with water taken from the sample site and a hydraulic gradient across the sample was formed using tubing regulators. Discharge rates were measured and Darcy’s Law used to determine saturated hydraulic conductivity values.  For each sample, three measurements were taken and a mean of the three flow rates was calculated and that mean is what is reported in the dataset.\n","locations":["POLYGON((-2.108 53.095, -2.108 53.563, -1.391 53.563, -1.391 53.095, -2.108 53.095))"],"orcid":["https://orcid.org/0000-0003-3637-3987","https://orcid.org/0000-0002-1108-4831"],"organisation":["University of Leeds","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0567ac9f-3e35-4f41-9efa-8e97948401f8","10.5285/0567ac9f-3e35-4f41-9efa-8e97948401f8","doi::10.5285/0567ac9f-3e35-4f41-9efa-8e97948401f8"],"availability":"Available","resourceType":"Dataset","rightsHolder":["University of Leeds"],"ror":["https://ror.org/024mrxd33","https://ror.org/04xw4m193"],"state":"published","title":"Saturated hydraulic conductivity in peat near open and blocked gullies in the Peak District, December 2021 and January 2022","version":1.0,"dataFormat":["Comma-separated values (CSV)"],"view":["public","margla"],"shortenedDescription":"This dataset provides saturated hydraulic conductivity values which were obtained from samples of peat. The peat was collected adjacent to erosion gullies that were either open, or adjacent to dams on gullies which had been installed as part of peatland restoration...."},{"publicationDate":"2021-07-07T00:00:00.000+00:00","metadataDate":"2026-04-14T10:32:06.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology","School of Natural and Environmental Sciences, Newcastle University","Butterfly Conservation"],"authorGivenName":["D.H.","D.M.","R.","M.S.","M.J.O."],"authorFamilyName":["Boyes","Evans","Fox","Parsons","Pocock"],"authorFullName":["Boyes, D.H.","Evans, D.M.","Fox, R.","Parsons, M.S.","Pocock, M.J.O."],"authorOrcid":["https://orcid.org/0000-0003-0191-3920","https://orcid.org/0000-0003-4061-6726","https://orcid.org/0000-0001-6992-3522","https://orcid.org/0000-0003-4375-0445"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset contains information about moth caterpillar abundance at sites lit by streetlights (LED; high pressure sodium and low-pressure sodium) and unlit control sites. Caterpillars were sampled at 26 matched pairs of lit and unlit sites between 2018 and 2020 as part of a study of the effects of street lighting on the early life stages of moths.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/L002590/1"],"identifier":"4d3f4c8a-5605-4990-8ca1-42f8ddf63698","incomingCitationCount":1,"givenName":["Douglas","D.H.","D.M.","R.","M.S.","M.J.O."],"familyName":["Boyes","Evans","Fox","Parsons","Pocock"],"fullName":["Boyes, D.","Boyes, D.H.","Evans, D.M.","Fox, R.","Parsons, M.S.","Pocock, M.J.O."],"keyword":["Biodiversity","Artificial light at night","Street lighting","lepidopteran","ecology","insect","animal population","lighting"],"keywordsTheme":["Biodiversity"],"keywordsOther":["Artificial light at night","Street lighting","lepidopteran","ecology","insect","animal population","lighting"],"licence":"Open government licence","lineage":"Data were generated by collecting larvae in the field using sweep netting and beating (as detailed in the methods). Data quality assurance included data collection via standardised recording forms, data entry using drop down menus and automated calculations.","locations":["POLYGON((-2.265 51.27, -2.265 52.273, -0.337 52.273, -0.337 51.27, -2.265 51.27))"],"orcid":["https://orcid.org/0000-0003-0191-3920","https://orcid.org/0000-0003-4061-6726","https://orcid.org/0000-0001-6992-3522","https://orcid.org/0000-0003-4375-0445"],"organisation":["UK Centre for Ecology & Hydrology","School of Natural and Environmental Sciences, Newcastle University","Butterfly Conservation","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4d3f4c8a-5605-4990-8ca1-42f8ddf63698","10.5285/4d3f4c8a-5605-4990-8ca1-42f8ddf63698","doi::10.5285/4d3f4c8a-5605-4990-8ca1-42f8ddf63698"],"availability":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Caterpillar counts from grass margins and hedgerows under streetlights, Oxfordshire, UK, 2018-2020","topic":["0/Biodiversity/"],"version":1.0,"dataFormat":["Comma-separated values (CSV)"],"view":["public","hajd"],"shortenedDescription":"This dataset contains information about moth caterpillar abundance at sites lit by streetlights (LED; high pressure sodium and low-pressure sodium) and unlit control sites. Caterpillars were sampled at 26 matched pairs of lit and unlit sites between 2018 and 2020 as..."},{"publicationDate":"2011-08-01T00:00:00.000+00:00","metadataDate":"2026-04-29T07:43:18.000+00:00","altTitle":["Snowf WFD GPCC","Snowfall WFD GPCC"],"catalogue":"eidc","description":"The WATCH Forcing data is a twentieth century meteorological forcing dataset for land surface and hydrological models. It consists of three/six-hourly states of the weather for global half-degree land grid points. It was generated as part of the EU FP 6 project \"WATCH\" (WATer and global CHange\") which ran from 2007-2011. The data was generated in 2 tranches with slightly different methodology: 1901-1957 and 1958-2001, but generally the dataset can be considered as continuous. More details regarding the generation process can be found in the associated WATCH technical report and paper in J. Hydrometeorology. To understand how the data grid is formed it is necessary to read the attached WFD-land-long-lat-z files either in NetCDF or DAT formats. The data covers land points only and excludes the Antarctica. Snowf or snowfall is the snowfall rate based on the GPCC bias corrected, undercatch corrected measured in kg/m2/s at 3 hourly resolution averaged over the next 3 hours and at 0.5 x 0.5 degrees spatial resolution. Please note that there is also a WFD Snowf CRU bias corrected dataset, but as the GPCC dataset is the preferred dataset only this snowfall dataset is available from the EIDC. These snowfall datasets contain snowfall data only and need to be combined with the respective WFD rainfall datasets to obtain precipitation data.","documentType":"GEMINI_DOCUMENT","identifier":"6b7a08f0-00f7-4c48-ac4d-e483acb77a03","incomingCitationCount":1,"givenName":["T."],"familyName":["Warnaars"],"fullName":["Warnaars, T."],"keyword":["Modelling","land surface","atmosphere","hydrology","Land surface modelling","meteorology"],"keywordsTheme":["Modelling"],"keywordsOther":["land surface","atmosphere","hydrology","Land surface modelling","meteorology"],"licence":"Non-Open government licence","lineage":"These data were created as part of the EU FP6 project WATCH which was coordinated by NERC-CEH and ran from 2007-2011. The data were generated in two tranches according to time interval. The data from 1958-2001 were based on ECMWF (European Centre for Medium Range Weather Forecasting) \"ERA-40\" reanalysis data via interpolation, elevation correction and monthly bias correction from gridded observations. The data from 1901-1957 were created via re-ordering of the ERA-40 reanalysis one year at a time. For full details of the process see the WATCH technical report No 22 and Weedon (2011, J. Hydrometeorology). ","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1315215593372","CEH:EIDC::1315215593372","https://catalogue.ceh.ac.uk/id/6b7a08f0-00f7-4c48-ac4d-e483acb77a03"],"availability":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"WATCH Forcing Data (WFD) - 20th Century Snowf GPCC (Snowfall GPCC) 1901-2001","topic":["0/Modelling/"],"version":1.0,"dataFormat":["NetCDF"],"view":["public","rjsc"],"shortenedDescription":"The WATCH Forcing data is a twentieth century meteorological forcing dataset for land surface and hydrological models. It consists of three/six-hourly states of the weather for global half-degree land grid points. It was generated as part of the EU FP 6 project \"WATCH\"..."},{"publicationDate":"2021-09-29T00:00:00.000+00:00","metadataDate":"2026-03-09T17:32:06.000+00:00","authorAffiliation":["University of Oxford","University of Exeter"],"authorGivenName":["E.F.R.","F.J.","M.A."],"authorFamilyName":["Preston","Thompson","Cant"],"authorFullName":["Preston, E.F.R.","Thompson, F.J.","Cant, M.A."],"authorOrcid":["https://orcid.org/0000-0002-4098-2630","https://orcid.org/0000-0001-7581-2204","https://orcid.org/0000-0002-1530-3077"],"catalogue":"eidc","description":"This dataset comprises measurements of grooming and aggressive interactions in banded mongooses in response to simulated intergroup conflict, collected from a wild population of banded mongooses on the Mweya Peninsula, Queen Elizabeth National Park, Uganda between 2016-2017. We experimentally simulated conflict between rival social groups of banded mongooses and recorded observations of grooming and aggression between individuals in the focal group. These data were collected to examine changes in social networks in the face of intergroup conflict.","documentType":"GEMINI_DOCUMENT","identifier":"d188de5e-17a5-481d-a80b-bae96736e6c8","incomingCitationCount":0,"givenName":["E.F.R.","F.J.","M.A."],"familyName":["Preston","Thompson","Cant"],"fullName":["Preston, E.F.R.","Thompson, F.J.","Cant, M.A."],"keyword":["Aggression","grooming","intergroup conflict","social networks","banded mongoose","behavioural ecology","Mungos mungo"],"keywordsOther":["Aggression","grooming","intergroup conflict","social networks","banded mongoose","behavioural ecology","Mungos mungo"],"licence":"Open government licence","lineage":"Intergroup threat was experimentally simulated by presenting a series of stimuli from a rival group to a focal group during field experiments conducted between March 2016 and May 2017. The stimuli included a presentation of rival group faeces, a playback of rival group ‘war cries’, and a presentation of rival males in traps. In addition, presentations of own group stimuli were performed as control trials. In total we performed 22 simulated intrusion trials and 22 control trials in 5 social groups. For each simulated intrusion and control trial, we collected observations of social interactions in the focal group over a 5-day period: 2 days before the presentation of stimuli, on the day of the presentation of stimuli, and 2 days after the presentation of stimuli. On each day we observed the focal group for 1 hour in the morning and for 1 hour in the afternoon. We recorded every grooming and aggressive interaction between individuals, noting the identity of the individuals involved and the direction of the interaction. We also recorded the sex and age of the individuals.","locations":["POLYGON((29.567 -1.2, 29.567 0.33, 30.386 0.33, 30.386 -1.2, 29.567 -1.2))"],"orcid":["https://orcid.org/0000-0002-4098-2630","https://orcid.org/0000-0001-7581-2204","https://orcid.org/0000-0002-1530-3077"],"organisation":["University of Oxford","University of Exeter","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d188de5e-17a5-481d-a80b-bae96736e6c8","10.5285/d188de5e-17a5-481d-a80b-bae96736e6c8","doi::10.5285/d188de5e-17a5-481d-a80b-bae96736e6c8"],"availability":"Available","resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/04xw4m193"],"state":"published","title":"The effects of intergroup conflict on social networks in banded mongooses in Queen Elizabeth National Park, Uganda, 2016-2017","version":1.0,"dataFormat":["Comma-separated values (CSV)"],"view":["public","jualob"],"shortenedDescription":"This dataset comprises measurements of grooming and aggressive interactions in banded mongooses in response to simulated intergroup conflict, collected from a wild population of banded mongooses on the Mweya Peninsula, Queen Elizabeth National Park, Uganda between 2016-2017...."},{"publicationDate":"2024-02-21T00:00:00.000+00:00","metadataDate":"2026-03-26T13:39:56.000+00:00","authorAffiliation":["British Geological Survey","National Oceanography Centre","Plymouth Marine Laboratory","UK Centre for Ecology & Hydrology","University of Southampton","University of the Highlands and Islands","Durham University"],"authorGivenName":["A.M.","C.","M.J.","I.","G.","S.","O.S.","V.","D.J.","A.","M.","P.","R.","B.","J.","J.L.","N.","L.","D.","E.","K.","F."],"authorFamilyName":["Tye","Balfour","Bowes","Brown","Evans","Farr","Felgate","Hargreaves","Humphry","Kitidis","Lapworth","Martin","Mayor","Pearson","Nightingale","Pickard","Sanders","Spears","Stephens","Stinchcombe","Torres","Williamson","Woodward","Breimann","Burden","Callaghan","Dise","Gilbert","Gibb","Ives","Jürgens","Hughes","Lichtschlag","Mack","Mallin Martin","Mawji","Olszewska","Parkes","Pearce","Peel","Pugh","Rees","Worrall","Yarrow"],"authorFullName":["Tye, A.M.","Balfour, C.","Bowes, M.J.","Brown, I.","Evans, C.","Farr, G.","Felgate, S.","Hargreaves, G.","Humphry, O.S.","Kitidis, V.","Lapworth, D.J.","Martin, A.","Mayor, D.J.","Pearson, M.","Nightingale, P.","Pickard, A.","Sanders, R.","Spears, B.","Stephens, J.","Stinchcombe, M.","Torres, R.","Williamson, J.L.","Woodward, M.","Bowes, M.","Breimann, S.","Burden, A.","Callaghan, N.","Dise, N.","Gilbert, P.","Gibb, S.","Ives, S.","Jürgens, M.","Hughes, L.","Lichtschlag, A.","Mack, S.","Mallin Martin, D.","Mawji, E.","Olszewska, J.","Parkes, D.","Pearce, C.","Peel, K.","Pugh, J.","Rees, A.","Worrall, F.","Yarrow, D."],"authorOrcid":["https://orcid.org/0000-0002-4653-7773","https://orcid.org/0000-0001-9241-8348","https://orcid.org/0000-0002-7052-354X","https://orcid.org/0000-0002-9955-4948","https://orcid.org/0000-0002-4361-6134","https://orcid.org/0000-0001-7776-7048","https://orcid.org/0000-0003-3949-3802","https://orcid.org/0000-0001-7838-7960","https://orcid.org/0000-0002-1202-8612","https://orcid.org/0000-0002-1295-0041","https://orcid.org/0000-0002-0295-9552","https://orcid.org/0000-0001-7177-5469","https://orcid.org/0000-0003-1069-3720","https://orcid.org/0000-0002-6884-7131","https://orcid.org/0000-0002-9035-2637","https://orcid.org/0000-0001-8216-5885","https://orcid.org/0000-0002-0673-1934","https://orcid.org/0000-0002-7694-1638","https://orcid.org/0000-0003-0463-6885","https://orcid.org/0000-0003-3882-338X","https://orcid.org/0000-0003-1702-2030","https://orcid.org/0000-0002-6526-589X","https://orcid.org/0000-0003-4308-6310","https://orcid.org/0000-0001-8281-2165","https://orcid.org/0000-0003-1615-8710","https://orcid.org/0000-0002-4910-2206","https://orcid.org/0000-0002-4382-2341","https://orcid.org/0000-0003-3070-3447","https://orcid.org/0000-0002-4139-1330"],"authorRor":["https://ror.org/04a7gbp98","https://ror.org/00874hx02","https://ror.org/05av9mn02","https://ror.org/00pggkr55","https://ror.org/01ryk1543","https://ror.org/02s08xt61","https://ror.org/01v29qb04"],"catalogue":"eidc","description":"This dataset contains monthly measurements of major and trace elements from 41 rivers around Great Britain. The samples were collected as part of the Land Ocean Carbon TransfEr (LOCATE) project during 2017 and they were analysed using Inductively coupled plasma mass spectrometry (ICP-MS). \n\nLOCATE was a multi-disciplinary NERC project that undertook coordinated sampling of the major rivers in Great Britain to establish how much carbon from soils is getting into rivers and estuaries and to determine what is happening to it. It involved the National Oceanography Centre, the British Geological Survey, the UK Centre for Ecology and Hydrology and the Plymouth Marine Laboratory, with assistance from the University of Lancaster, University of Durham, University of Hull, the University of the Highlands and Islands and the Environment Agency.\n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/N018087/1"],"identifier":"ef880531-08b3-477d-a69e-3b28beb562d2","incomingCitationCount":0,"givenName":["A.M.","C.","M.J.","I.","G.","S.","O.S.","V.","D.J.","A.","M.","P.","R.","B.","J.","J.L.","N.","L.","D.","E.","K.","F."],"familyName":["Tye","Balfour","Bowes","Brown","Evans","Farr","Felgate","Hargreaves","Humphry","Kitidis","Lapworth","Martin","Mayor","Pearson","Nightingale","Pickard","Sanders","Spears","Stephens","Stinchcombe","Torres","Williamson","Woodward","Breimann","Burden","Callaghan","Dise","Gilbert","Gibb","Ives","Jürgens","Hughes","Lichtschlag","Mack","Mallin Martin","Mawji","Olszewska","Parkes","Pearce","Peel","Pugh","Rees","Worrall","Yarrow"],"fullName":["Tye, A.M.","Balfour, C.","Bowes, M.J.","Brown, I.","Evans, C.","Farr, G.","Felgate, S.","Hargreaves, G.","Humphry, O.S.","Kitidis, V.","Lapworth, D.J.","Martin, A.","Mayor, D.J.","Pearson, M.","Nightingale, P.","Pickard, A.","Sanders, R.","Spears, B.","Stephens, J.","Stinchcombe, M.","Torres, R.","Williamson, J.L.","Woodward, M.","Bowes, M.","Breimann, S.","Burden, A.","Callaghan, N.","Dise, N.","Gilbert, P.","Gibb, S.","Ives, S.","Jürgens, M.","Hughes, L.","Lichtschlag, A.","Mack, S.","Mallin Martin, D.","Mawji, E.","Olszewska, J.","Parkes, D.","Pearce, C.","Peel, K.","Pugh, J.","Rees, A.","Worrall, F.","Yarrow, D."],"keyword":["Great Britain","LOCATE","Water quality","Hydrology","rivers","terrestrial","estuary","ICP-MS"],"keywordsPlace":["Great Britain"],"keywordsProject":["LOCATE"],"keywordsTheme":["Water quality","Hydrology"],"keywordsOther":["rivers","terrestrial","estuary","ICP-MS"],"licence":"Open government licence","lineage":"One third of rivers in Great Britain were sampled, accounting for approximately 36 % of the catchment areas. For each river, a single visit was made once each month to collect water for analysis. Water was sampled using a bottle or bucket and then immediately filtered and/or decanted into other appropriate bottles, prior to being sent for analysis. Temperature was recorded immediately on sampled water. Conductivity was often done in situ but occasionally later in the laboratory if a field instrument was not available. The ICP-MS analysis used to measure major and trace elements is described in the Supporting Documentation. Additional information on weather and flow and state of river was also recorded. In addition to the precise location of the sampling point, the NRFA code, catchment area, land use, standardised annual rainfall, Base Flow Index, altitude and percentage of carbonate rocks in catchment are all provided in a separate file. ","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/0000-0002-4653-7773","https://orcid.org/0000-0001-9241-8348","https://orcid.org/0000-0002-7052-354X","https://orcid.org/0000-0002-9955-4948","https://orcid.org/0000-0002-4361-6134","https://orcid.org/0000-0001-7776-7048","https://orcid.org/0000-0003-3949-3802","https://orcid.org/0000-0001-7838-7960","https://orcid.org/0000-0002-1202-8612","https://orcid.org/0000-0002-1295-0041","https://orcid.org/0000-0002-0295-9552","https://orcid.org/0000-0001-7177-5469","https://orcid.org/0000-0003-1069-3720","https://orcid.org/0000-0002-6884-7131","https://orcid.org/0000-0002-9035-2637","https://orcid.org/0000-0001-8216-5885","https://orcid.org/0000-0002-0673-1934","https://orcid.org/0000-0002-7694-1638","https://orcid.org/0000-0003-0463-6885","https://orcid.org/0000-0003-3882-338X","https://orcid.org/0000-0003-1702-2030","https://orcid.org/0000-0002-6526-589X","https://orcid.org/0000-0003-4308-6310","https://orcid.org/0000-0001-8281-2165","https://orcid.org/0000-0003-1615-8710","https://orcid.org/0000-0002-4910-2206","https://orcid.org/0000-0002-4382-2341","https://orcid.org/0000-0003-3070-3447","https://orcid.org/0000-0002-4139-1330"],"organisation":["British Geological Survey","National Oceanography Centre","Plymouth Marine Laboratory","UK Centre for Ecology & Hydrology","University of Southampton","University of the Highlands and Islands","Durham University","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ef880531-08b3-477d-a69e-3b28beb562d2","10.5285/ef880531-08b3-477d-a69e-3b28beb562d2","doi::10.5285/ef880531-08b3-477d-a69e-3b28beb562d2"],"availability":"Available","resourceType":"Dataset","rightsHolder":["British Geological Survey"],"ror":["https://ror.org/04a7gbp98","https://ror.org/00874hx02","https://ror.org/05av9mn02","https://ror.org/00pggkr55","https://ror.org/01ryk1543","https://ror.org/02s08xt61","https://ror.org/01v29qb04","https://ror.org/04xw4m193"],"state":"published","title":"Monthly measurements of major and trace elements in 41 rivers in Great Britain, 2017, from the LOCATE project","topic":["0/Water quality/","0/Hydrology/"],"version":1.0,"dataFormat":["Comma-separated values (CSV)"],"view":["public","jenroe"],"shortenedDescription":"This dataset contains monthly measurements of major and trace elements from 41 rivers around Great Britain. The samples were collected as part of the Land Ocean Carbon TransfEr (LOCATE) project during 2017 and they were analysed using Inductively coupled plasma mass..."},{"publicationDate":"2010-12-01T00:00:00.000+00:00","metadataDate":"2026-04-22T14:40:17.000+00:00","catalogue":"eidc","description":"GIS-based computer generated real-time landscape models, and other computer generated static images were produced and used alongside photographs in more in-depth interviews and focus groups. (Some elements of this dataset are not part of this data submission due to copyright restrictions, though images may be included in the report). The study is part of the NERC Rural Economy and Land Use (RELU) programme. Future policies are likely to encourage more land use under energy crops: principally willow, grown as short rotation coppice, and a tall exotic grass Miscanthus. These crops will contribute to the UK's commitment to reduce CO2 emissions. However, it is not clear how decisions about appropriate areas for growing the crops, based on climate, soil and water, should be balanced against impacts on the landscape, social acceptance, biodiversity and the rural economy. This project integrated social, economic, hydrological and biodiversity studies in an interdisciplinary approach to assessing the impact of converting land to Miscanthus grass and short-rotation coppice (SRC) willows. Two contrasting farming systems were focused on: the arable-dominated East Midlands; and grassland-dominated South West England. The public attitudes questionnaire data from this study are available at the UK Data Archive under study number 6615 (see online resources). Further documentation for this study may be found through the RELU Knowledge Portal and the project's ESRC funding award web page (see online resources).","documentType":"GEMINI_DOCUMENT","funder":["Biotechnology and Biological Sciences Research Council"],"grant":["RES-227-25-0020"],"identifier":"19ff63b5-67db-4b71-8318-a346cd4cfe98","incomingCitationCount":0,"givenName":["Angela","Andrew"],"familyName":["Karp","Lovett"],"fullName":["Karp, A.","Lovett, A."],"keyword":["Bridgwater","East midlands (region)","Lincoln","Retford","South west england (region)","Taunton","Agricultural economics","Agricultural land","Agronomy","Biofuels","Countryside conservation","Crops","Farming systems","Farms","Fuel resources","Land use","Renewable energy","Rural economics","Rural environment","Rural planning","Rural Economy and Land Use Programme","Impacts of increasing land use under energy crops"],"keywordsTheme":["Bridgwater","East midlands (region)","Lincoln","Retford","South west england (region)","Taunton","Agricultural economics","Agricultural land","Agronomy","Biofuels","Countryside conservation","Crops","Farming systems","Farms","Fuel resources","Land use","Renewable energy","Rural economics","Rural environment","Rural planning"],"keywordsOther":["Rural Economy and Land Use Programme","Impacts of increasing land use under energy crops"],"licence":"Non-Open government licence","lineage":"Research funded by Economic and Social Research Council, Natural Environment Research Council and Biotechnology and Biological Sciences Research Council. Award Number: RES-227-25-0020 GIS data consists of a series of 100m resolution raster grids in ArcGIS (version 9.3) format for all of England. These include individual layers for each of the eleven factors considered in the analysis, an estimated yield map and combined results. Some of these are in the public domain (e.g. www.magic.gov.uk). Others were originally obtained from the EDINA Digimap service (edina.ac.uk/digimap) e.g. Ordnance Survey Meridian and Panorama DTM datasets, but are now in the public domain as a results of the recent OS OpenData Initiative (http://www.ordnancesurvey.co.uk/oswebsite/opendata/index.html). Other datasets were obtained from NSRI Cranfield (NatMap 1km soils), CEH (Land Cover Map 2000), Forest Research (National Inventory of Woodland and Trees), Natural England (Biodiversity Action Plan habitats and existing energy crop planting) and English Heritage (scheduled monuments) under academic research agreements for the project and cannot be distributed further under the terms of these agreements. The ESRC award page (see online resources) hosts a publication (Lovett et al. 2009) which describes the collection of the GIS data set in detail.","locations":["POLYGON((-4.262 51.371, -4.262 54.775, 1.077 54.775, 1.077 51.371, -4.262 51.371))"],"organisation":["Rothamsted Research, Plant and Invertebrate Ecology Division","University of East Anglia","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1316697903946","CEH:EIDC::1316697903946","https://catalogue.ceh.ac.uk/id/19ff63b5-67db-4b71-8318-a346cd4cfe98"],"availability":"Available","resourceType":"Dataset","ror":["https://ror.org/0347fy350","https://ror.org/026k5mg93","https://ror.org/04xw4m193"],"state":"published","title":"Impacts of Increasing Land Use under Energy Crops - GIS Data, 2006-2009","version":1.0,"dataFormat":["Esri personal geodatabase (.mdb)"],"view":["public","veerle@essex.ac.uk"],"shortenedDescription":"GIS-based computer generated real-time landscape models, and other computer generated static images were produced and used alongside photographs in more in-depth interviews and focus groups. (Some elements of this dataset are not part of this data submission due to..."},{"publicationDate":"2020-03-04T00:00:00.000+00:00","metadataDate":"2026-03-26T13:34:44.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology","British Geological Survey"],"authorGivenName":["A.M. ","M.R.","B.A.","S.M.","G.","A.M.","C.M."],"authorFamilyName":["Keith","Cave","Dodd","Smart","Turner","Tye","Wood"],"authorFullName":["Keith, A.M.","Cave, M.R.","Dodd, B.A.","Smart, S.M.","Turner, G.","Tye, A.M.","Wood, C.M."],"authorOrcid":["https://orcid.org/0000-0001-9619-1320","https://orcid.org/0000-0003-2752-7155","https://orcid.org/0000-0003-2750-7832","https://orcid.org/0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset consists of Particle Size Distribution (PSD) measurements made on 419 archived topsoil samples and derived aggregate stability metrics from arable and grassland habitats across Great Britain in 2007. Laser granulometry was used to measure PSD of 1–2 mm aggregates before and after sonication and the difference in their Mean Weight Diameter (MWD) used to indicate aggregate stability. The samples were collected as part of the Countryside Survey monitoring programme, a unique study or ‘audit’ of the natural resources of the UK’s countryside. The analyses were conducted as part of study aiming to quantify how soil quality indicators change across a gradient of agricultural land management and to identify conditions that determine the ability of different soils to resist and recover from perturbations.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"identifier":"be3793b6-90fb-4e4c-9515-220cc33223b9","incomingCitationCount":0,"givenName":["A.M. ","M.R.","B.A.","S.M.","G.","A.M.","C.M.","Aidan"],"familyName":["Keith","Cave","Dodd","Smart","Turner","Tye","Wood"],"fullName":["Keith, A.M.","Cave, M.R.","Dodd, B.A.","Smart, S.M.","Turner, G.","Tye, A.M.","Wood, C.M.","Keith, A."],"keyword":["Great Britain","England","Scotland","Wales","Soil","Land cover"],"keywordsPlace":["Great Britain","England","Scotland","Wales"],"keywordsTheme":["Soil","Land cover"],"licence":"Open government licence","lineage":"Soil samples were collected in 2007 by Countryside Survey field surveyors, who were provided with a field sampling manual and underwent training for sample collection and processing. Protocols were also provided to cover all aspects of processing of the soil cores from logging in of cores as they arrived at the laboratory to basic measurements, chemical analysis and archiving the final samples. Soils were sieved to 2 mm and air-dried before storage. \nPre-measurements were made on samples to determine the best aggregate masses to use for fine, medium and coarse texture soils; this obscuration values. During PSD analyses, a reference soil was analysed in each batch of measurements. Two standard particle size materials were also used throughout the series of analyses to check for accuracy and precision of the PSD measurements by the Laser granulometer instrument.\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/0000-0001-9619-1320","https://orcid.org/0000-0003-2752-7155","https://orcid.org/0000-0003-2750-7832","https://orcid.org/0000-0002-0394-2998"],"organisation":["UK Centre for Ecology & Hydrology","British Geological Survey","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/be3793b6-90fb-4e4c-9515-220cc33223b9","10.5285/be3793b6-90fb-4e4c-9515-220cc33223b9","doi::10.5285/be3793b6-90fb-4e4c-9515-220cc33223b9"],"availability":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Soil aggregate stability data from arable and grassland in Countryside Survey, Great Britain 2007 ","topic":["0/Soil/","0/Land cover/"],"version":1.0,"dataFormat":["Comma-separated values (CSV)"],"view":["public","clwe"],"shortenedDescription":"This dataset consists of Particle Size Distribution (PSD) measurements made on 419 archived topsoil samples and derived aggregate stability metrics from arable and grassland habitats across Great Britain in 2007. Laser granulometry was used to measure PSD of 1–2 mm..."},{"publicationDate":"2025-06-02T00:00:00.000+00:00","metadataDate":"2026-03-09T17:27:57.000+00:00","authorAffiliation":["University of Edinburgh"],"authorGivenName":["G.N."],"authorFamilyName":["Stone"],"authorFullName":["Stone, G.N."],"authorRor":["https://ror.org/01nrxwf90"],"catalogue":"eidc","description":"These data consist of quantitative and categorical scores for phenotypic attributes of 88 types of galls induced on oak trees (Quercus spp.) by cynipid gallwasps (Hymenoptera: Cynipidae: Cynipini). The recorded variables focus on attributes such as hardness, presence of surface spines or coatings of sticky resin, each of which are thought to contribute to protection of the gall inhabitants form attack by natural enemies such as parasitoid wasps and birds. Cynipid galls have separate sexual and asexual generation galls, each with different phenotypes. The dataset comprises values for 31 sexual generation galls and 58 asexual generation galls of a total of 69 cynipid species. The biological rationale for regarding these phenotypic traits as defences is explained in Bailey et al (2009). The purpose of these data is to include them as explanatory variables in statistical analyses that seek to quantify the effects of gall traits on the composition and abundance of parasitoid natural enemies in cynipid gall communities.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/T000120/1"],"identifier":"bc10f720-2bb6-4ff4-ad63-257663fd41a3","incomingCitationCount":0,"givenName":["G.N."],"familyName":["Stone"],"fullName":["Stone, G.N."],"keyword":["Hungary","Biodiversity","Cynipidae","Fagaceae","parasitoid","extended phenotype"],"keywordsPlace":["Hungary"],"keywordsTheme":["Biodiversity"],"keywordsOther":["Cynipidae","Fagaceae","parasitoid","extended phenotype"],"licence":"Open government licence","lineage":"The data were recorded for field samples of galls collected from 6 sites in Hungary in 2000-2003 as part of a study first published by Bailey et al (2009). There are 16 data columns, each providing information on a phenotypic properties scored as binary categorical (a particular trait is either present or absent), categorical (e.g. galls are allocated to a particular shape class), ordinal (for example, a ranked series of values of 1-4 is used to measure increasing gall hardness), or continuous (linear measurements of gall radius, height and volume). Scores for the ordinal variable ‘Tough’ were validated using continuous penetration scores recorded using a QTS-25 benchtop texture analyser (data not shown). Gall identifications were based on diagnostic features of external gall phenotypes by experienced field staff. Where necessary, gallwasp identifications were confirmed using DNA barcoding.","locations":["POLYGON((15.996 45.768, 15.996 48.763, 23.247 48.763, 23.247 45.768, 15.996 45.768))"],"organisation":["University of Edinburgh","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/bc10f720-2bb6-4ff4-ad63-257663fd41a3","10.5285/bc10f720-2bb6-4ff4-ad63-257663fd41a3","doi::10.5285/bc10f720-2bb6-4ff4-ad63-257663fd41a3"],"availability":"Available","resourceType":"Dataset","rightsHolder":["University of Edinburgh"],"ror":["https://ror.org/01nrxwf90","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Bailey, R., Schönrogge, K., Cook, J. M., Melika, G., Csóka, G., Thuróczy, C., & Stone, G. N. (2009). Host Niches and Defensive Extended Phenotypes Structure Parasitoid Wasp Communities. PLoS Biology, 7(8), e1000179. "],"title":"Morphology phenotype data of 88 types of galls induced on oak trees by cynipid gallwasps from 6 sites in Hungary, 2000-2003","topic":["0/Biodiversity/"],"version":1.0,"dataFormat":["Comma-separated values (CSV)"],"view":["public","jashun"],"shortenedDescription":"These data consist of quantitative and categorical scores for phenotypic attributes of 88 types of galls induced on oak trees (Quercus spp.) by cynipid gallwasps (Hymenoptera: Cynipidae: Cynipini). The recorded variables focus on attributes such as hardness, presence..."},{"publicationDate":"2025-06-13T00:00:00.000+00:00","metadataDate":"2026-03-09T17:27:46.000+00:00","authorAffiliation":["Durham University"],"authorGivenName":["Olena"],"authorFamilyName":["Riabinina"],"authorFullName":["Riabinina, O."],"authorOrcid":["https://orcid.org/0000-0002-0088-4534"],"authorRor":["https://ror.org/01v29qb04"],"catalogue":"eidc","description":"This dataset contains locations and species of mosquitoes collected during fieldwork in India in 2022. Mosquito adults and larvae were collected from 4 locations: Bangalore, Udaipur, Delhi and Mumbai. The focus was on collecting Anopheles mosquitoes, but other species were also collected. Anopheles mosquitoes transmit malaria, so changes in their distribution raises concern for the spread of this disease.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/W00402X/1"],"identifier":"ac5ecc99-b1b9-443a-b0b1-5059b85bc30f","incomingCitationCount":0,"givenName":["Olena"],"familyName":["Riabinina"],"fullName":["Olena Riabinina","Riabinina, O."],"keyword":["Biodiversity","Evolutionary ecology","Invasive species","mosquito","India"],"keywordsTheme":["Biodiversity","Evolutionary ecology","Invasive species"],"keywordsOther":["mosquito","India"],"licence":"Open government licence","lineage":"Mosquito adults and larvae were collected from 4 locations in India: Bangalore, Udaipur, Delhi and Mumbai. The fieldwork instrumentation used were dippers for larvae and aspirators for adult mosquitoes. Quality control/assessment was was provided by an experienced colleague who identified the mosquito species morphologically.","locations":["POLYGON((66.972 4.741, 66.972 36.031, 90.527 36.031, 90.527 4.741, 66.972 4.741))"],"orcid":["https://orcid.org/0000-0002-0088-4534"],"organisation":["Durham University","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ac5ecc99-b1b9-443a-b0b1-5059b85bc30f","10.5285/ac5ecc99-b1b9-443a-b0b1-5059b85bc30f","doi::10.5285/ac5ecc99-b1b9-443a-b0b1-5059b85bc30f"],"availability":"Available","resourceType":"Dataset","rightsHolder":["Durham University"],"ror":["https://ror.org/01v29qb04","https://ror.org/04xw4m193"],"state":"published","title":"Distribution of Anopheles stephensi and other mosquito species in India, 2022","topic":["0/Biodiversity/","0/Evolutionary ecology/","0/Invasive species/"],"version":1.0,"dataFormat":["Comma-separated values (CSV)"],"view":["public","katwri"],"shortenedDescription":"This dataset contains locations and species of mosquitoes collected during fieldwork in India in 2022. Mosquito adults and larvae were collected from 4 locations: Bangalore, Udaipur, Delhi and Mumbai. The focus was on collecting Anopheles mosquitoes, but other species..."},{"publicationDate":"2011-09-27T00:00:00.000+00:00","metadataDate":"2026-03-09T17:40:03.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["K."],"authorFamilyName":["Blyth"],"authorFullName":["Blyth, K."],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"Soil moisture and Electrical Resistivity Tomography (ERT) measurements within the top metre of soil at Church Field, Chimney Meadow National Nature Reserve. Church Field lies on a clay lens which overlies surrounding sand and gravel soils. Apart from the A and B horizons, the clay was found to be fairly homogenous down to the maximum depth of 1.1m of the access pit. On the 1:250,000 Soil Map of South East England the location falls into the soils category 832 Kelmscott Association which comprise mostly permeable fine loamy soils over limestone gravel and variably affected by groundwater and with some risk of flooding. However, on the more detailed 1:25,000 scale Sand and Gravel Resources Map of the Thames Valley the clay lens is depicted as Oxford Clay substrate without sand and gravel cover, surrounded by sand and gravel terraces cropping out at the surface.","documentType":"GEMINI_DOCUMENT","identifier":"59da8e86-04cc-4f46-a23c-65513d025326","incomingCitationCount":1,"givenName":["C.","K."],"familyName":["Stratford","Blyth"],"fullName":["Stratford, C.","Blyth, K."],"keyword":["Chimney Meadow","Oxfordshire","Soil","soil water"],"keywordsPlace":["Chimney Meadow","Oxfordshire"],"keywordsTheme":["Soil"],"keywordsOther":["soil water"],"licence":"Open government licence","lineage":"Data collected in the field by CEH. 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","locations":["POLYGON((-1.51 51.693, -1.51 51.711, -1.459 51.711, -1.459 51.693, -1.51 51.693))"],"organisation":["UK Centre for Ecology & Hydrology","Natural Environment Research Council","NERC EDS Environmental Information Data Centre","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1317996491250","CEH:EIDC::1317996491250","https://catalogue.ceh.ac.uk/id/59da8e86-04cc-4f46-a23c-65513d025326","10.5285/59da8e86-04cc-4f46-a23c-65513d025326","doi::10.5285/59da8e86-04cc-4f46-a23c-65513d025326"],"availability":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/02b5d8509","https://ror.org/04xw4m193"],"state":"published","title":"Chimney Meadow (Church Field) soil water retention measurements (pF curves)","topic":["0/Soil/"],"version":1.0,"dataFormat":["Comma-separated values (CSV)"],"view":["public","hajd"],"shortenedDescription":"Soil moisture and Electrical Resistivity Tomography (ERT) measurements within the top metre of soil at Church Field, Chimney Meadow National Nature Reserve. Church Field lies on a clay lens which overlies surrounding sand and gravel soils. Apart from the A and B horizons,..."},{"publicationDate":"2025-06-25T00:00:00.000+00:00","metadataDate":"2026-03-09T17:32:33.000+00:00","authorAffiliation":["University of Glasgow"],"authorGivenName":["Mark","Tim","Brendan","Jelle"],"authorFamilyName":["Pitt","Sheen","O'Connor","Boonekamp"],"authorFullName":["Pitt, M.","Sheen, T.","O'Connor, B.","Boonekamp, J."],"authorRor":["https://ror.org/00vtgdb53"],"catalogue":"eidc","description":"The data comprises records of phenotypic traits of outbred Gryllus bimaculatus that were bred in a laboratory. Inbreeding was minimized by avoiding crossing family lines. Traits that were measured include adult body mass, development time, and lifespan. The data were collected in 2023 by researchers from the University of Glasgow to investigate the effects of parental age and temperature conditions on offspring life-history. We chose this species because we have complementary field projects on field crickets and they are easily maintained in a lab. \n\n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/X012018/1"],"identifier":"085ec3ff-110d-4dbf-96da-7418ab9a7c5a","incomingCitationCount":0,"givenName":["Mark","Tim","Brendan","Jelle"],"familyName":["Pitt","Sheen","O'Connor","Boonekamp"],"fullName":["Jelle Boonekamp","Pitt, M.","Sheen, T.","O'Connor, B.","Boonekamp, J."],"keyword":["Animal behaviour","evolution","field crickets"],"keywordsTheme":["Animal behaviour"],"keywordsOther":["evolution","field crickets"],"licence":"Open government licence","lineage":"Crickets were housed in individual boxes (approximately 18x10x7cm) from hatching . All individuals were kept at 28 degrees Celsius. Development time and lifespan data were obtained by weekly survival and adult emergence checks. Body mass was recorded to the nearest microgram using a calibrated balance. Weakly checks were done to record the date of adult emergence or death. Individuals had access to food (dried grass pellets - rabbit food from Science Selective) and water ad libitum. 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Inbreeding was minimized by avoiding crossing family lines. Traits that were measured include adult body mass, development time, and lifespan. The data were..."},{"publicationDate":"2020-07-27T00:00:00.000+00:00","metadataDate":"2026-03-26T13:43:15.000+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 upto 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, and UK trends in abundance 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.\n","documentType":"GEMINI_DOCUMENT","identifier":"c8b96827-6eb1-47c7-9636-b26e09141591","incomingCitationCount":0,"givenName":["Marc"],"familyName":["Botham"],"fullName":["Botham, M."],"keyword":["Lepidoptera","butterflies"],"keywordsOther":["Lepidoptera","butterflies"],"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/c8b96827-6eb1-47c7-9636-b26e09141591"],"availability":"Unknown","resourceType":"Aggregation","ror":["https://ror.org/00pggkr55"],"state":"published","title":"United Kingdom Butterfly Monitoring Scheme (UKBMS) 1976-2015 data","version":1.0,"dataFormat":["Comma-separated values (CSV)"],"view":["public","hajd"],"shortenedDescription":"This is a series of datasets available from the UK Butterfly Monitoring Scheme (UKBMS). 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A minimum, maximum and gridded average deposition value has been provided for the following protected sites throughout the UK:\n (i)\tSpecial Areas of Conservation (SAC)\n(ii)\tSpecial Protection Areas (SPA)\n(iii)\tSites of Special Scientific Interest (SSSI). \n\nThe pollutants are further split into both wet and dry deposition, as well as local and long-range sources.\n\nHabitat-specific data are provided for (i) forest, (i) moorland (short semi-natural vegetation), and (iii) grid average (average of arable, grassland, urban, forest and moorland land cover types) forest everywhere.\n\nThe work in generating and compiling this dataset has been funded by the UK pollution and conservation agencies: Natural Resource Wales (NRW), the Environment Agency, Northern Ireland Environment Agency, Natural England, the Joint Nature Conservation Committee (JNCC), Scotland and Northern Ireland Forum for Environmental Research (SNIFFER), the Scottish Environment Protection Agency (SEPA), and Scottish Natural Heritage (SNH).\n","documentType":"GEMINI_DOCUMENT","identifier":"c4c2c5ae-d926-4ee0-b069-6479ecab2787","incomingCitationCount":1,"givenName":["W.J.","A.J."],"familyName":["Bealey","Dore"],"fullName":["Bealey, W.J.","Dore, A.J."],"keyword":["Pollution","source attribution","nitrogen deposition","atmospheric pollution","acid deposition"],"keywordsTheme":["Pollution"],"keywordsOther":["source attribution","nitrogen deposition","atmospheric pollution","acid deposition"],"licence":"Open government licence","lineage":"The Air Pollution Information System (APIS), through the 'Site Relevant Critical Loads' tool, provides critical loads and critical levels for designated features within every SAC, SPA or A/SSSI in the UK. Deposition and concentration data for nitrogen and sulphur pollutants are provided at each site to give an estimate of critical load/level exceedance. In addition, pollutant deposition for nitrogen and acidity have been modelled for the emission year 2012 to provide source apportioned statistics at each site. \n\nThe FRAME (Fine Resolution Multi-pollutant Exchange) model was used to assess the long-term annual mean deposition of reduced and oxidised nitrogen and sulphur over the United Kingdom. Emissions of Sulphur and Nitrogen for input into the model were split into 160 different sub-sectoral emission categories. 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The minimum, maximum and grid average deposition value for each pollutant, and each footprint at each site was then calculated.\n\nThe full methodology is available in the contextual metadata which can be found attached to this record.\n\nThe work of APIS is jointly funded between the Centre for Ecology & Hydrology and the UK pollution and conservation agencies including Natural Resources Wales (NRW), the Environment Agency, Northern Ireland Environment Agency, Natural England, the Joint Nature Conservation Committee (JNCC), Scotland and Northern Ireland Forum for Environmental Research (SNIFFER), the Scottish Environment Protection Agency (SEPA), and Scottish Natural Heritage (SNH).","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/0000-0003-3708-5864"],"organisation":["Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre","UK Centre for Ecology & Hydrology"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c4c2c5ae-d926-4ee0-b069-6479ecab2787","10.5285/c4c2c5ae-d926-4ee0-b069-6479ecab2787","doi::10.5285/c4c2c5ae-d926-4ee0-b069-6479ecab2787"],"availability":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalName":["Site Relevant Critical Loads and Source Attribution (APIS) website","FRAME Model description"],"title":"Source Attribution - deposition of nitrogen and sulphur to UK protected sites","topic":["0/Pollution/"],"version":1.0,"dataFormat":["Comma-separated values (CSV)"],"view":["public","elirob"],"shortenedDescription":"This dataset contains source attribution data for nitrogen and sulphur deposition across the UK. 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