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Written in JavaScript for use with Google Earth Engine.\n\nThese are versions of the scripts used in Hastie et al. (2022), https://doi.org/10.1038/s41561-022-00923-4. Users should also cite Rodríguez-Veiga et al. (2020), https://doi.org/10.3390/rs12152380 .","documentType":"GEMINI_DOCUMENT","familyName":["Hastie","Honorio Coronado","Reyna Huaymacari","Mitchard","Åkesson","Baker","Cole","Cordova Oroche","Dargie","Dávila","De Grandi","del Aguila-Pasquel","Del Castillo Torres","De la Cruz Paiva","Draper","Flores","Grandez Ríos","Hergoualc’h","Householder","Janovec","Lähteenoja","Reyna","Rodríguez-Veiga","Roucoux","Tobler","Wheeler","Williams","Lawson"],"fullName":["Hastie, A.","Honorio Coronado, E.H.","Reyna Huaymacari, J.","Mitchard, E.T.","Åkesson, C.","Baker, T.R.","Cole, L.E.S.","Cordova Oroche, C.J.","Dargie, G.C.","Dávila, N.","De Grandi, E.C.","del Aguila-Pasquel, J.","Del Castillo Torres, D.","De la Cruz Paiva, R.","Draper, F.C.","Flores, G.","Grandez Ríos, J.","Hergoualc’h, K.","Householder, J.E.","Janovec, J.P.","Lähteenoja, O.","Reyna, D.","Rodríguez-Veiga, P.","Roucoux, K.H.","Tobler, M.","Wheeler, C.E.","Williams, M.","Lawson, I.T."],"funder":["Natural Environment Research Council"],"givenName":["A.","E.H.","J.","E.T.","C.","T.R.","L.E.S.","C.J.","G.C.","N.","E.C.","D.","R.","F.C.","G.","K.","J.E.","J.P.","O.","P.","K.H.","M.","C.E.","I.T."],"grant":["NE/R000751/1"],"identifier":"e337de58-df5e-4412-8aef-28875870f965","incomingCitationCount":0,"keyword":["Modelling","peat","Peru","mapping","Random Forest","Regression","remote sensing","model"],"keywordsOther":["peat","Peru","mapping","Random Forest","Regression","remote sensing","model"],"keywordsTheme":["Modelling"],"licence":"Open government licence","lineage":"The scripts were as part of the NERC-funded project “Carbon Storage in Amazonian Peatlands: Distribution and Dynamics” (grant ref. NE/R000751/1).\nTo run the model code the user needs to first have a Google Earth Engine account. They should also familiarise themselves with the basics of running GEE code editor. GEE uses JavaScript.\n","locations":["POLYGON((-77.78 -13.65, -77.78 -0.04, -68.65 -0.04, -68.65 -13.65, -77.78 -13.65))"],"metadataDate":"2026-07-25T14:48:24.000Z","orcid":["0000-0003-2098-3510","0000-0002-3251-1679","0000-0002-0692-3186","0000-0002-3547-2425"],"organisation":["Charles University","University of St Andrews","Instituto de Investigaciones de la Amazonía Peruana","University of Edinburgh","University of Leeds","Servicio Nacional Forestal y de Fauna Silvestre","University of Liverpool","Center for International Forestry Research (CIFOR)","Karlsruhe Institute for Technology","Sam Houston State University Natural History Museum","Unaffiliated","University of Leicester","San Diego Zoo","NERC EDS Environmental Information Data Centre","University of St Andrews ","University of Edinburgh "],"publicationDate":"2024-01-11T00:00:00.000Z","recordType":"Model","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e337de58-df5e-4412-8aef-28875870f965","10.5285/e337de58-df5e-4412-8aef-28875870f965","doi:10.5285/e337de58-df5e-4412-8aef-28875870f965"],"resourceType":"Model","rightsHolder":["University of St Andrews ","University of Edinburgh "],"ror":["https://ror.org/024d6js02","https://ror.org/02wn5qz54","https://ror.org/010ywy128","https://ror.org/01nrxwf90","https://ror.org/024mrxd33","https://ror.org/04xs57h96","https://ror.org/01rt0fh70","https://ror.org/04t3en479","https://ror.org/00yh3cz06","https://ror.org/04h699437","https://ror.org/04q1yyt92","https://ror.org/04xw4m193"],"shortenedDescription":"Two scripts for classifying remotely sensed data used to produce maps of peatland distribution and predicted peat thickness, using random forest classification and regression. Written in JavaScript for use with Google Earth Engine.\n\nThese are versions of the scripts…","state":"published","supplementalName":["Hastie, A. et al. (2022). Risks to carbon storage from land-use change revealed by peat thickness maps of Peru. Nature Geoscience 15: 369-374. ","Rodríguez-Veiga, P. et al. (2020).  Carbon stocks and fluxes in Kenyan forests and wooded grasslands derived from Earth observation and model–data fusion. Remote Sensing 12: 2380"],"title":"Model code of peatland distribution and predicted peat thickness in lowland Amazonian Peru","topic":["0/Modelling/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["Queen Mary University of London"],"authorFamilyName":["Trimmer"],"authorFullName":["Trimmer, M."],"authorGivenName":["Mark"],"authorOrcid":["0000-0002-9859-5537"],"authorRor":["https://ror.org/026zzn846"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains results from in situ field measurements of riverbed nitrogen transformations in the Hammer Stream, a sandy tributary of the River Rother in West Sussex, UK. Measurements were performed in November 2014 and February, April and July 2015. The data include baseline concentrations of nutrients (NO2, NO3, NH3, PO4), chloride, oxygen, pH, temperature, Fe(II), organic carbon, 15N-N2 and methane (CH4) and nitrous oxide (N2O) sampled from porewater prior to injection of 15N-nitrate.","documentType":"GEMINI_DOCUMENT","familyName":["Trimmer"],"fullName":["Trimmer, M."],"funder":["Natural Environment Research Council"],"givenName":["Mark"],"identifier":"7ded510f-3955-4b92-851d-29c0f79a0b99","incomingCitationCount":1,"keyword":["Water quality","pH","temperature","nitrous oxide","nitrite","nitrogen","methane","organic carbon","iron","chloride","oxygen","phosphate","ammonium","nitrate"],"keywordsOther":["pH","temperature","nitrous oxide","nitrite","nitrogen","methane","organic carbon","iron","chloride","oxygen","phosphate","ammonium","nitrate"],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"Prior to injection of 15N-nitrate, samples of porewater were recovered to measure background concentrations of nutrients (NO2, NO3, NH3, PO4), chloride, oxygen, pH, temperature, Fe(II), organic carbon, 15N-N2 and methane (CH4) and nitrous oxide (N2O). \n\nConcentration of dissolved oxygen in porewater sampled prior to 15N injection. Units are micro-M. Porewater was transferred from the collection syringe to an open syringe barrel containing an oxygen sensor via a 3-way valve. O2 concentrations were measured with a fast response microelectrode (50microm tip, Unisense). Readings from the microelectrode were displayed on a pico-ammeter (PA 2000; Unisense) and logged after 4s when the signal had stabilized. Calibration was performed with a zero solution (0.1M sodium ascorbate in 0.1M sodium hydroxide) and a solution of known O2 concentration (determined via Winkler titration). Through laboratory simulation with de-oxygenated water we estimate that O2 contamination during sample transfer and measurement was 10micro-M and have subtracted this value from the data. The limit of detection was 10micro-M and the precision was 2%.\n\nO2adj percent: Saturation of dissolved oxygen expressed relative to air-equilibrated water at the temperature of the sample. Units are %. The air-equilibrated O2 concentration was calculated for each sample using the Bunsen solubility coefficient for O2 and the temperature of the sample (determined during pH measurement, see below). O2 sat = 100 x O2adj (see above) divided by the air-equilibrated O2 concentration.\n\npH of porewater sample prior to 15N injection. After the O2 concentration of the porewater was measured (see above) a calibrated pH probe (VWR 100) was placed in the solution and the temperature and pH was recorded.\n\nTemperature units are degrees centigrade.\n\nWater samples for nutrients were filtered through 0.45 micron filters (polypropylene). Samples for nutrient analysis were frozen at -20ºC before analysis.\nIn the permeable sandy sediments, nitrate reduction was measured by 'push-pull' using techniques in Lansdown et al. (2014). In the main piezometer network described in Shelley et al (2017), a tracer containing 15N-labelled nitrate (300 micro-M (M), 98 atom percent 15N) in a de-oxygenated synthetic river water plus KCl matrix was injected into the riverbed and porewater samples recovered over time (Lansdown et al. (2014)). A helium headspace was added to the water samples, the 15N-labelled N2 content was determined by mass spectrometry.\n\nData marked as 0 were below the detection limit of the method. Data marked ND were either no data collected or a sample lost.","locations":["POLYGON((0.797 51.007, 0.797 51.02, 0.821 51.02, 0.821 51.007, 0.797 51.007))"],"metadataDate":"2026-07-25T06:58:14.000Z","orcid":["0000-0002-9859-5537"],"organisation":["Queen Mary University of London","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-08-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7ded510f-3955-4b92-851d-29c0f79a0b99","10.5285/7ded510f-3955-4b92-851d-29c0f79a0b99","doi:10.5285/7ded510f-3955-4b92-851d-29c0f79a0b99"],"resourceType":"Dataset","ror":["https://ror.org/026zzn846","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains results from in situ field measurements of riverbed nitrogen transformations in the Hammer Stream, a sandy tributary of the River Rother in West Sussex, UK. Measurements were performed in November 2014 and February, April and July 2015. The data…","state":"published","supplementalDescription":["Shelley, F., Klaar, M., Krause, S., & Trimmer, M. (2017). Enhanced hyporheic exchange flow around woody debris does not increase nitrate reduction in a sandy streambed. Biogeochemistry, 136(3), 353-372. ","Krause, S., Klaar, M. J., Hannah, D. M., Mant, J., Bridgeman, J., Trimmer, M., & Manning-Jones, S. (2014). The potential of large woody debris to alter biogeochemical processes and ecosystem services in lowland rivers. Wiley Interdisciplinary Reviews: Water, 1(3), 263-275.","Lansdown, K., Heppell, C. M., Trimmer, M., Binley, A., Heathwaite, A. L., Byrne, P., & Zhang, H. (2015). The interplay between transport and reaction rates as controls on nitrate attenuation in permeable, streambed sediments. Journal of Geophysical Research: Biogeosciences, 120(6), 1093-1109."],"temporalExtentText":"Data collected from 2014 to 2017","title":"The influence of large woody debris (LWD) on in situ riverbed nitrogen transformations in the Hammer Stream (Hampshire, UK)","topic":["0/Water quality/"],"version":1.0,"view":["public","shar1"]},{"availability":"Unknown","catalogue":"eidc","description":"This series of datasets consists of ammonia (NH3) measurements in a rural location in South Lanarkshire from a range of years starting in 2017. \n\nConcentrations are measured inside a dwelling, and outside in a garden area surrounded by a grassland which is part of a large dairy farm. ","documentType":"GEMINI_DOCUMENT","familyName":["Iwanicka"],"fullName":["Iwanicka, A."],"givenName":["Agata"],"identifier":"0959d73b-4dd3-4ac1-b204-c3f21e86777d","incomingCitationCount":0,"licence":"Non-Open government licence","metadataDate":"2026-07-24T18:58:06.000Z","organisation":["UK Centre for Ecology & Hydrology"],"recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0959d73b-4dd3-4ac1-b204-c3f21e86777d"],"resourceType":"Aggregation","ror":["https://ror.org/00pggkr55"],"shortenedDescription":"This series of datasets consists of ammonia (NH3) measurements in a rural location in South Lanarkshire from a range of years starting in 2017. \n\nConcentrations are measured inside a dwelling, and outside in a garden area surrounded by a grassland which is part of a…","state":"published","title":"Passive sampler ammonia measurements indoors and outdoors at a rural dwelling in South Lanarkshire","version":1.0,"view":["public","phtr"]},{"authorAffiliation":["Centre for Ecology & Hydrology","University of Oxford","University of Bialystok","Polish Academy of Sciences","UFZ Helmholtz Centre for Environmental Research"],"authorFamilyName":["Schönrogge","Thomas","Elmes","Sielezniew","Stankiewicz-Fiedurek","Simcox","Settele"],"authorFullName":["Schönrogge, K.","Thomas, J.A.","Elmes, G.W.","Sielezniew, M.","Stankiewicz-Fiedurek, A.","Simcox, D.","Settele, J."],"authorGivenName":["K.","J.A.","G.W.","M.","A.","D.","J."],"authorOrcid":["0000-0003-0122-6493"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/052gg0110"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset is part of the study of mimetic host shifts in an endangered social parasite of ants, which is a joint study of the Centre for Ecology & Hydrology and the University of Oxford. It contains the relative abundance data of cuticular hydrocarbons extracted from worker ants of Myrmica sabuleti and M. schencki, and from caterpillars of Maculinea rebeli from two populations at the pre-adoption stage and after being reared by the two ant species. The chemical was analysed from the caterpillars from each region when reared with each ants, by using gas chromatography with mass spectrometric detection (GC-MSD). Various statistical analysis was then carried out to compare the differences between groups. It aims to test whether observed regional differences in M. rebeli's host specificity could be explained by variation in chemical mimicry. Detailed research method can be found in Thomas et al. (2013) Mimetic host shifts in an endangered social parasite of ants. Proc. R. Soc. B vol. 280 no.1751. (https://doi.org/10.1098/rspb.2012.2336) ","documentType":"GEMINI_DOCUMENT","familyName":["Schönrogge","Thomas","Elmes","Sielezniew","Stankiewicz-Fiedurek","Simcox","Settele"],"fullName":["Schönrogge, K.","Thomas, J.A.","Elmes, G.W.","Sielezniew, M.","Stankiewicz-Fiedurek, A.","Simcox, D.","Settele, J."],"givenName":["K.","J.A.","G.W.","M.","A.","D.","J.","Karsten"],"identifier":"b0aec477-0883-4963-a3ae-52e3f0daf5aa","incomingCitationCount":0,"keyword":["Animal behaviour","Myrmica schencki","Myrmica sabuleti","Maculinea rebeli"],"keywordsOther":["Myrmica schencki","Myrmica sabuleti","Maculinea rebeli"],"keywordsTheme":["Animal behaviour"],"licence":"Non-Open government licence","lineage":"We tracked the changing chemical profiles of caterpillars from each region when reared with each ant, from uncontaminated pre-adoption final instars, to individuals 6 weeks after adoption, and finally to the latter after isolation from ants for 5 days, which allows acquired semio-chemicals to dissipate and prompts the hungry caterpillars to release their own secretions. Hexane extracts of surface chemicals were obtained from: (i) unparasitized Myrmica schencki and M. sabuleti on our study sites in the Pyrenees, Poland, and the naïve ants in France that had not experienced M. rebeli (n = 5 workers from 5 nests of each ant per locality); (ii) 8 batches per region of pre-adoption final instar M. rebeli larvae sampled after leaving G. cruciata before contact with ants (n = 5 larvae per batch, in total 40 individuals for each type of M. rebeli); (iii) M. rebeli larvae after living 6 weeks with naïve French ants, n = 5 (Spanish+schencki and Polish+sabuleti), n = 3 (Spanish+sabuleti and Polish+schencki); and (iv) M. rebeli larvae reared as in (iii), then isolated from ants and kept unfed and singly in sterile conditions for 5 days; n = 5 (Spanish+schencki), n = 4 (Polish+schencki), n = 3 (Spanish+sabuleti and Polish+sabuleti). The chemical and statistical analyses of extracts followed an established protocol. Maculinea extracts were concentrated to 20ml, ant workers to 50ml, and 2ml of every sample were analyzed by gas chromatography with mass spectrometric detection (GC-MSD) using a HP 5890II GC and HP 5971A MSD, and ultra-high purity helium as the carrier gas with 10 psi column head pressure. Mass spectral data were acquired in full scan mode over 40 - 600 m/z. Mass chromatograms were initially screened for hydrocarbons by examining the selected ion chromatogram of m/z = 57. The chromatogram was integrated at a threshold value of 12 (HP integrator) to obtain the areas under the peaks measuring the total ion count. With each sequence of samples we also analysed alkane standards (n-C20 - n-C36), and the position of each peak within that range in a sample was calculated as an Equivalent Chain Length (ECL). Mass chromatograms were inspected to ensure that they were free of gross interferences and that peaks of interest such as branched and straight alkanes and alkenes, were chromatographically distinct and symmetrical. We excluded peaks that were column bleed, siloxanes, or phthalate plasticizers as indicated by a characteristic abundant ion at m/z 149. Peaks of interest were tentatively identified by a combination of ECL number and inspections of their full scan mass spectra and matching with the NIST-97/08 mass spectral database. For statistical analysis, the area under each peak was expressed as the proportion of the sum of all peaks in the chromatogram. Samples were compared using multivariate and non-parametric multidimensional scaling (MDS) on the ranks of the Bray-Curtis similarities. The extent of a final lack of fit was assessed by a STRESS statistic before pair-wise differences between species and treatments were assessed using an analysis of similarities (ANOSIM) in Primer-e v6. We used the average pairwise distance between groups, and assessed two averages with a two-sample t-test, to compare differences in the shift of similarities between groups.","metadataDate":"2026-07-29T12:11:38.000Z","orcid":["0000-0003-0122-6493"],"organisation":["Centre for Ecology & Hydrology","University of Oxford","University of Bialystok","Polish Academy of Sciences","UFZ Helmholtz Centre for Environmental Research","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2013-01-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1351093101460","CEH:EIDC::1351093101460","https://catalogue.ceh.ac.uk/id/b0aec477-0883-4963-a3ae-52e3f0daf5aa","10.5285/b0aec477-0883-4963-a3ae-52e3f0daf5aa","doi:10.5285/b0aec477-0883-4963-a3ae-52e3f0daf5aa"],"resourceType":"Non-geographic dataset","ror":["https://ror.org/00pggkr55","https://ror.org/052gg0110","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset is part of the study of mimetic host shifts in an endangered social parasite of ants, which is a joint study of the Centre for Ecology & Hydrology and the University of Oxford. It contains the relative abundance data of cuticular hydrocarbons extracted…","state":"published","supplementalDescription":["Thomas, J. A., Elmes, G. W., Sielezniew, M., Stankiewicz-Fiedurek, A., Simcox, D. J., Settele, J., & Schonrogge, K. (2012). Mimetic host shifts in an endangered social parasite of ants. Proceedings of the Royal Society B: Biological Sciences, 280(1751), 20122336-20122336."],"temporalExtentText":"Data collected from 2001 to 2005","title":"Mimetic host shifts in a social parasite of ants: Analytical data of surface semio-chemicals on Maculinea rebeli larvae","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","weig"]},{"authorAffiliation":["James Hutton Institute","UK Centre for Ecology & Hydrology"],"authorFamilyName":["Artz","Coyle","Donaldson-Selby","Morrison"],"authorFullName":["Artz, R.R.E.","Coyle, M.","Donaldson-Selby, G.","Morrison, R."],"authorGivenName":["R.R.E.","M.","G.","R."],"authorOrcid":["0000-0002-8462-6558","0000-0002-9440-6524","0000-0001-5859-5236","0000-0002-1847-3127"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This record contains time series observations of land surface-atmosphere exchanges of net ecosystem carbon dioxide exchange (NEE), sensible heat (H) and latent heat (LE), and meteorological observations measured at an eroded upland blanket bog peatland (UK-BAL) in the Eastern Cairngorms in Scotland, UK (56.93° N, -3.16° E, 642 m asl). The dataset comprises eddy covariance CO2, water and energy fluxes, originally collected at 20Hz and processed to 30-minute data, as well as accompanying meteorological observations, originally collected at 15 min and processed to 30-minute data. Time period covered in this dataset is 04/07/2018 until 04/11/2020.","documentType":"GEMINI_DOCUMENT","familyName":["Artz","Coyle","Donaldson-Selby","Morrison"],"fullName":["Artz, R.R.E.","Coyle, M.","Donaldson-Selby, G.","Morrison, R."],"givenName":["R.R.E.","M.","G.","R."],"identifier":"a65f6241-bfc3-430a-ae93-ccb7c63c1a53","incomingCitationCount":0,"keyword":["Peatland","Carbon dioxide flux","Net ecosystem exchange","Sensible heat flux","Latent heat flux","Water table "],"keywordsOther":["Carbon dioxide flux","Net ecosystem exchange","Sensible heat flux","Latent heat flux","Water table "],"keywordsPlace":["Peatland"],"licence":"Open government licence","lineage":"Sensible and latent heat fluxes (LE and H, respectively) and NEE were monitored using an enclosed path EC system. A range of micrometeorological measurements were carried out on the same mast as the EC data collection. Soil physics were measured close to the EC mast (within a radius of 5 m).\nThirty‐minute flux densities of sensible and latent heat (LE and H) and net ecosystem CO2 exchange (NEE) were computed from the raw EC data using EddyPRO® Flux Calculation Software (v 7.0.6; LI‐COR Biosciences, Lincoln, Nebraska). Quality control (QC) procedures were applied to ensure only high-quality turbulent flux data were retained for analysis.","locations":["POLYGON((-3.22 56.877, -3.22 56.952, -3.075 56.952, -3.075 56.877, -3.22 56.877))"],"metadataDate":"2026-07-25T13:18:58.000Z","orcid":["0000-0002-8462-6558","0000-0002-9440-6524","0000-0001-5859-5236","0000-0002-1847-3127"],"organisation":["James Hutton Institute","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","The James Hutton Institute","NatureScot Peatland Action"],"publicationDate":"2021-09-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a65f6241-bfc3-430a-ae93-ccb7c63c1a53","10.5285/a65f6241-bfc3-430a-ae93-ccb7c63c1a53","doi:10.5285/a65f6241-bfc3-430a-ae93-ccb7c63c1a53"],"resourceType":"Dataset","rightsHolder":["The James Hutton Institute","NatureScot Peatland Action"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This record contains time series observations of land surface-atmosphere exchanges of net ecosystem carbon dioxide exchange (NEE), sensible heat (H) and latent heat (LE), and meteorological observations measured at an eroded upland blanket bog peatland (UK-BAL) in the…","state":"published","temporalExtentText":"Data collected from 2018 to 2020","title":"Net ecosystem carbon dioxide (CO2) exchange and meteorological observations from an eroding high altitude blanket bog, Scotland, 2018-2020","version":1.0,"view":["public","matnic"]},{"authorAffiliation":["Bristol University"],"authorFamilyName":["Devenish"],"authorFullName":["Devenish, A."],"authorGivenName":["A."],"authorOrcid":["0000-0001-5240-622X"],"authorRor":["https://ror.org/0524sp257"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data set describes the seed dispersal process of both invaded (presence of Linepithema humile) and non-invaded (absence of L. humile) ant communities. Data were collected from four field sites in and around Girona (41.9794° N, 2.8214° E), Northern Spain, during the summer months of 2014 (June-July) and 2015 (July-September).\n\nExperiment 1: Ant community structure of both invaded and non-invaded ant communities was determined using a series of pitfall and baiting traps. \nExperiment 2: Ant communities were presented with seeds (from eight plant species) via a cafeteria setup and the rate of removal was measured over 24 hours. \nExperiment 3: A series of 30.25 m2 grids were setup to determine the density (number of nests and number of foraging trails) of both invasive L. humile and native Pheidole pallidula ant species. \nExperiment 4:  Seeds were presented to nests of both the invasive L. humile and native P. pallidula ant species, after 72 hours nests were excavated and the seeds were retrieved. Data was collected from all four experiments to test hypothesis about the dispersal ability of the dominant seed dispersing ant species in both invaded and non-invaded ant communities. \n\nFunding was received from a NERC-Case studentship (NE/K007076/1) and COST Action TD1209 (ECOST-STSM-TD1209: 070915-062123, 010715-062122, and 160614-046307) grant. \n\nData provided in its raw format.","documentType":"GEMINI_DOCUMENT","familyName":["Devenish"],"fullName":["Devenish, A."],"funder":["Natural Environment Research Council","COST European Cooperation in Science and Technology"],"givenName":["A.","Adam"],"grant":["TD1209"],"identifier":"375d5ea7-db23-408a-b8b3-1d4210256868","incomingCitationCount":0,"keyword":["Animal behaviour","Invasive species","Seed dispersal","ant-plant mutualism","invasive","Myrmecochory","Argentine ant"],"keywordsOther":["Seed dispersal","ant-plant mutualism","invasive","Myrmecochory","Argentine ant"],"keywordsTheme":["Animal behaviour","Invasive species"],"licence":"Open government licence","lineage":"Data was collected on the impacts of Linepithema humile on both ant community structure and seed dispersal ability. All data was collected in a systematic manner using a series of four independent experiments. Ant species identifications were verified by Dr Crisanto Gomez. Details of the experimental methodologies can be found in the supporting documentation.","locations":["POLYGON((-3.428 39.096, -3.428 43.58, 5.538 43.58, 5.538 39.096, -3.428 39.096))"],"metadataDate":"2026-07-24T20:37:36.000Z","orcid":["0000-0001-5240-622X"],"organisation":["Bristol University","Imperial College London","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-11-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/375d5ea7-db23-408a-b8b3-1d4210256868","10.5285/375d5ea7-db23-408a-b8b3-1d4210256868","doi:10.5285/375d5ea7-db23-408a-b8b3-1d4210256868"],"resourceType":"Dataset","ror":["https://ror.org/0524sp257","https://ror.org/041kmwe10","https://ror.org/04xw4m193"],"shortenedDescription":"This data set describes the seed dispersal process of both invaded (presence of Linepithema humile) and non-invaded (absence of L. humile) ant communities. Data were collected from four field sites in and around Girona (41.9794° N, 2.8214° E), Northern Spain, during…","state":"published","temporalExtentText":"Data collected from 2014 to 2014; Data collected from 2015 to 2015","title":"Impacts of Argentine ant (Linepithema humile) on seed dispersal services in Iberian Peninsula","topic":["0/Animal behaviour/","0/Invasive species/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["University of Glasgow","Brunel University London","University of the Philippines","University of North Carolina"],"authorFamilyName":["Boothroyd","Williams","Hoey","Tolentino","Yang"],"authorFullName":["Boothroyd, R.J.","Williams, R.D.","Hoey, T.B.","Tolentino, P.L.M.","Yang, X."],"authorGivenName":["R.J.","R.D.","T.B.","P.L.M.","X."],"authorOrcid":["0000-0001-9742-4229","0000-0001-6067-1947","0000-0003-0734-6218"],"authorRor":["https://ror.org/00vtgdb53","https://ror.org/03tbh6y23"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","Shapefile","TIFF"],"description":"The data set contains the Philippines bridge inventory, river migration geodatabase and source code to assess active river channel change (i.e. planform adjustments) using Landsat 5, 7 and 8 products in Google Earth Engine. The data set contains hydro-morphological and bridge characteristics for 74 bridges (> 200 m deck length) in the Philippines from 1988 to 2019 and is available in .csv and .shp format.  For a given region of interest (ROI), the code will extract active river channel masks, calculate similarity coefficients between active river channel masks at decadal intervals and calculate active widths and centreline statistics. The code was used by Boothroyd et al. (in press) to investigate decadal river migration at critical bridge infrastructure in the Philippines.","documentType":"GEMINI_DOCUMENT","familyName":["Boothroyd","Williams","Hoey","Tolentino","Yang"],"fullName":["Boothroyd, R.J.","Williams, R.D.","Hoey, T.B.","Tolentino, P.L.M.","Yang, X.","Boothroyd, R."],"funder":["Natural Environment Research Council"],"givenName":["R.J.","R.D.","T.B.","P.L.M.","X.","Richard"],"grant":["NE/S003312/1"],"identifier":"2efd24f9-e745-4f54-8bbd-6439b0ad93e5","incomingCitationCount":1,"keyword":["Philippines","Mapping","Fluvial geomorphology","river migration","Jaccard index","Dice similarity coefficient","RivWidthCloud","stream network characteristics","bridge","river channelling","river","geomorphology"],"keywordsOther":["Fluvial geomorphology","river migration","Jaccard index","Dice similarity coefficient","RivWidthCloud","stream network characteristics","bridge","river channelling","river","geomorphology"],"keywordsPlace":["Philippines"],"keywordsTheme":["Mapping"],"licence":"Open government licence","lineage":"Bridge characteristics were derived from a geospatial database of Philippine bridges retrieved in April 2020 from the Detailed Bridge Inventory Application (DPWH, 2020). The database was filtered to include only permanent bridges where the bridge deck length was equal to or greater than 200 m (n = 256). A visual inspection was performed to ensure that bridges were located at contemporary river crossings (n = 182) and only those bridges where the active river channel width exceeded 150 m (equivalent to five Landsat pixels) were retained for analysis (n = 74).\n\nStream network and geomorphology characteristics were derived from a nationwide digital elevation model (DEM) acquired in 2013 and generated through airborne Interferometric Synthetic Aperture Radar, with a 5 m spatial resolution and 1 m root-mean-square error vertical accuracy (Grafil and Castro, 2014) was used for topographic analysis and extraction of the stream network.\n\nGoogle Earth Engine (GEE) was used to extract active river channel masks from Landsat 5, 7 and 8 satellite imagery. The workflow contained three main processing steps: (i) cloud masking and temporal compositing; (ii) active river channel classification; and, (iii) cleaning and image export.","locations":["POLYGON((116.191 4.303, 116.191 21.371, 127.617 21.371, 127.617 4.303, 116.191 4.303))"],"metadataDate":"2026-09-15T08:44:09.000Z","orcid":["0000-0001-9742-4229","0000-0001-6067-1947","0000-0003-0734-6218"],"organisation":["University of Glasgow","Brunel University London","University of the Philippines","University of North Carolina","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-12-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2efd24f9-e745-4f54-8bbd-6439b0ad93e5","10.5285/2efd24f9-e745-4f54-8bbd-6439b0ad93e5","doi:10.5285/2efd24f9-e745-4f54-8bbd-6439b0ad93e5"],"resourceType":"Dataset","rightsHolder":["University of Glasgow"],"ror":["https://ror.org/00vtgdb53","https://ror.org/03tbh6y23","https://ror.org/04xw4m193"],"shortenedDescription":"The data set contains the Philippines bridge inventory, river migration geodatabase and source code to assess active river channel change (i.e. planform adjustments) using Landsat 5, 7 and 8 products in Google Earth Engine. The data set contains hydro-morphological…","state":"published","temporalExtentText":"Data collected from 1988 to 2019","title":"River channel migration and characteristics from 1988 to 2019 at 74 bridges in the Philippines","topic":["0/Mapping/"],"version":1.0,"view":["public","matnic"]},{"authorAffiliation":["University of Reading","Centre for Ecology & Hydrology","The James Hutton Institute"],"authorFamilyName":["Garratt","Carvell","Hawes","Potts"],"authorFullName":["Garratt, M.P.D.","Carvell, C.","Hawes, C.","Potts, S.G."],"authorGivenName":["M.P.D","C.","S.G."],"authorRor":["https://ror.org/05v62cm79","https://ror.org/00pggkr55","https://ror.org/03rzp5127"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains data on insects observed visiting flowers of three crops (apples, field beans and oilseed rape) and responses by recorders to a questionnaire asking about their experience carrying out pollinator surveys. Data from thirteen flowering crop fields was collected by teams based at the University of Reading and the James Hutton Institute in Scotland. Data was collected by different recorders, some of whom were novice data collectors, experienced researchers or farmers and agronomists. Recorders were asked to implement three methods: pan trapping, transect walking and/or hand pollination and plant bagging. Transects involved walking a 50m transect recording floral visitors to crop flowers within a 1m squared moving observation widow next to the recorder. Pan trapping involved placing out three coloured water trap arrays along a 50m transect and then recording what flying insects were caught in the water traps at the end of the survey. Hand pollination and plant bagging involved putting mesh bags over flowers to exclude visitation by insects, hand pollinating crop flowers and counting and marking flowers with cable ties. Data were collected between April and July 2015 from sites across the UK.","documentType":"GEMINI_DOCUMENT","familyName":["Garratt","Carvell","Hawes","Potts"],"fullName":["Garratt, M.P.D.","Carvell, C.","Hawes, C.","Potts, S.G.","Garratt, M."],"givenName":["M.P.D","C.","S.G.","Michael"],"identifier":"5822900b-3af4-4bb9-a2d6-0b5d384e2a3c","incomingCitationCount":0,"keyword":["Pollinators","Bombus terrestris","Bombus lucorum","Bombus hortorum","Bombus pratorum","Bombus pascuorum","Andrena sp.","Brassica napus"],"keywordsOther":["Bombus terrestris","Bombus lucorum","Bombus hortorum","Bombus pratorum","Bombus pascuorum","Andrena sp.","Brassica napus"],"keywordsTheme":["Pollinators"],"licence":"Open government licence","lineage":"Recorders were given a detailed written transect protocols to follow and were a mixture of novice data collectors, experienced researchers or farmers and agronomists. Data are provided as recorded.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T23:06:48.000Z","organisation":["University of Reading","Centre for Ecology & Hydrology","The James Hutton Institute","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-04-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5822900b-3af4-4bb9-a2d6-0b5d384e2a3c","10.5285/5822900b-3af4-4bb9-a2d6-0b5d384e2a3c","doi:10.5285/5822900b-3af4-4bb9-a2d6-0b5d384e2a3c"],"resourceType":"Dataset","ror":["https://ror.org/05v62cm79","https://ror.org/00pggkr55","https://ror.org/03rzp5127","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains data on insects observed visiting flowers of three crops (apples, field beans and oilseed rape) and responses by recorders to a questionnaire asking about their experience carrying out pollinator surveys. Data from thirteen flowering crop fields…","state":"published","temporalExtentText":"Data collected from 2015 to 2015","title":"Pollinator and pollination service data from the National Pollinator and Pollination Monitoring Framework pilot study from 13 UK crop field sites 2015","topic":["0/Pollinators/"],"version":1.0,"view":["public","hajd"]},{"authorAffiliation":["University of Oxford","University of Exeter"],"authorFamilyName":["Preston","Thompson","Cant"],"authorFullName":["Preston, E.F.R.","Thompson, F.J.","Cant, M.A."],"authorGivenName":["E.F.R.","F.J.","M.A."],"authorOrcid":["0000-0002-4098-2630","0000-0001-7581-2204","0000-0002-1530-3077"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"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","familyName":["Preston","Thompson","Cant"],"fullName":["Preston, E.F.R.","Thompson, F.J.","Cant, M.A."],"givenName":["E.F.R.","F.J.","M.A."],"identifier":"d188de5e-17a5-481d-a80b-bae96736e6c8","incomingCitationCount":0,"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))"],"metadataDate":"2026-07-25T14:17:41.000Z","orcid":["0000-0002-4098-2630","0000-0001-7581-2204","0000-0002-1530-3077"],"organisation":["University of Oxford","University of Exeter","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-09-29T00:00:00.000Z","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"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/04xw4m193"],"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.…","state":"published","temporalExtentText":"Data collected from 2016 to 2017","title":"The effects of intergroup conflict on social networks in banded mongooses in Queen Elizabeth National Park, Uganda, 2016-2017","version":1.0,"view":["public","jualob"]},{"authorAffiliation":["University of Oxford"],"authorFamilyName":["Buechel"],"authorFullName":["Buechel, M."],"authorGivenName":["M."],"authorOrcid":["0000-0002-5047-1631"],"authorRor":["https://ror.org/052gg0110"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"Data comprise a set of broadleaf afforestation scenarios (provided as netCDF files) that may be run with the Joint UK Land Environment Simulator (JULES), a community land surface model. The scenarios are based on the CEH Land Cover 2000 classification. Afforestation takes place according to catchment structure and existing land cover.\n\nScenarios cover twelve river catchments in Great Britain: Dee, Tay, Ouse, Ure, Derwent, Thames, Avon, Tamar, Severn at Bewdley , Severn at Haw Bridge, Ribble and Clyde.\n\nAfforestation scenarios relate to two catchment properties: - (1) River network structure and (2) Land use.  By using these two catchment properties, in conjunction with different extents of afforestation, up to 288 afforestation scenarios per catchment are generated.\n\nThis dataset was created as part of the NERC doctoral training partnerships (grant number NE/L002612/1).","documentType":"GEMINI_DOCUMENT","familyName":["Buechel"],"fullName":["Buechel, M."],"funder":["Natural Environment Research Council"],"givenName":["M.","Marcus"],"grant":["NE/L002612/1"],"identifier":"f484ff54-9139-462e-b37a-347a69f78500","incomingCitationCount":0,"keyword":["Hydrology","scenario","JULES","Avon","Clyde","Dee","Derwent","Ouse","Ribble","Severn at Haw Bridge","Tamar","Tay","Thames","Ure","CHESS-land","Severn at Bewdley","hydrology","afforestation"],"keywordsOther":["scenario","JULES","Avon","Clyde","Dee","Derwent","Ouse","Ribble","Severn at Haw Bridge","Tamar","Tay","Thames","Ure","CHESS-land","Severn at Bewdley","hydrology","afforestation"],"keywordsTheme":["Hydrology"],"licence":"Open government licence","lineage":"The data is based on the UKCEH Land Cover 2000 raster at 25 m2. Drainage basin areas were discretised using the IHDTM (50 m2) and streams created using ArcGIS 10.6. Land cover scenarios were converted to fractions of the eight different land cover types according to JULES base configuration at a 1 km2 grid scale. Each of the eight land fractions rasters were then combined in a netCDF file using the Python packages rasterio and netCDF4 to create the land cover scenarios in a format for JULES to process. Land maps generated were compared to the CHESS-land dataset to ensure that they were generated accurately.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T18:06:45.000Z","orcid":["0000-0002-5047-1631"],"organisation":["University of Oxford","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-10-28T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f484ff54-9139-462e-b37a-347a69f78500","10.5285/f484ff54-9139-462e-b37a-347a69f78500","doi:10.5285/f484ff54-9139-462e-b37a-347a69f78500"],"resourceType":"Dataset","rightsHolder":["University of Oxford"],"ror":["https://ror.org/052gg0110","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise a set of broadleaf afforestation scenarios (provided as netCDF files) that may be run with the Joint UK Land Environment Simulator (JULES), a community land surface model. The scenarios are based on the CEH Land Cover 2000 classification. Afforestation…","state":"published","title":"Potential afforestation scenarios based on catchment structure and land cover for twelve catchments in Great Britain for use with the Joint UK Land Environment Simulator (JULES)","topic":["0/Hydrology/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["University of Exeter","University of Sheffield","University of Edinburgh","University of Sussex"],"authorFamilyName":["Estop-Aragones","Fisher","Cooper","Thierry","Treharne","Murton","Phoenix","Charman","Williams","Hartley"],"authorFullName":["Estop-Aragones, C.","Fisher, J.P.","Cooper, M.A.","Thierry, A.","Treharne, R.","Murton, J.B.","Phoenix, G.K.","Charman, D.J.","Williams, M.","Hartley, I.P."],"authorGivenName":["C.","J.P.","M.A.","A.","R.","J.B.","G.K.","D.J.","Mathew","I.P."],"authorOrcid":["0000-0001-6117-5208"],"authorRor":["https://ror.org/03yghzc09","https://ror.org/05krs5044","https://ror.org/01nrxwf90","https://ror.org/00ayhx656"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of soil dates determined using radiocarbon in profiles from permafrost in subarctic Canada. Depth-specific soil core samples were dated using radiocarbon. Soil cores were sampled during early summer in 2013 and 2014. Each year soil cores were sampled from a peatland plateau, thawing features of the peatland plateau, unburnt and burnt black spruce forests, and additional sites in Yukon and Northwest Territories.","documentType":"GEMINI_DOCUMENT","familyName":["Estop-Aragones","Fisher","Cooper","Thierry","Treharne","Murton","Phoenix","Charman","Williams","Hartley"],"fullName":["Estop-Aragones, C.","Fisher, J.P.","Cooper, M.A.","Thierry, A.","Treharne, R.","Murton, J.B.","Phoenix, G.K.","Charman, D.J.","Williams, M.","Hartley, I.P."],"givenName":["C.","J.P.","M.A.","A.","R.","J.B.","G.K.","D.J.","Mathew","I.P."],"identifier":"fe17ac3b-9a26-48ec-aadd-a3e806f9b5f5","incomingCitationCount":0,"keyword":["Canada","Soil radiocarbon","Peatland plateau","Thawing peatland","Burnt permafrost","permafrost ecosystem"],"keywordsOther":["Soil radiocarbon","Peatland plateau","Thawing peatland","Burnt permafrost","permafrost ecosystem"],"keywordsPlace":["Canada"],"licence":"Open government licence","lineage":"Plant macrofossils were identified from the bulk soil using a microscope and picked for radiocarbon analysis. Samples were sent to the NERC Radiocarbon Facility in East Kilbride (UK) where they were analysed and given a publication code. Values of radiocarbon enrichment are expressed in percent modern carbon. Ages are reported as conventional radiocarbon age with years BP (before present, where present is defined as AD 1950).","locations":["POLYGON((-137 60, -137 64, -112 64, -112 60, -137 60))"],"metadataDate":"2026-09-15T08:41:46.000Z","orcid":["0000-0001-6117-5208"],"organisation":["University of Exeter","University of Sheffield","University of Edinburgh","University of Sussex","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-02-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1438614686808","CEH:EIDC::1438614686808","https://catalogue.ceh.ac.uk/id/fe17ac3b-9a26-48ec-aadd-a3e806f9b5f5","10.5285/fe17ac3b-9a26-48ec-aadd-a3e806f9b5f5","doi:10.5285/fe17ac3b-9a26-48ec-aadd-a3e806f9b5f5"],"resourceType":"Dataset","ror":["https://ror.org/03yghzc09","https://ror.org/05krs5044","https://ror.org/01nrxwf90","https://ror.org/00ayhx656","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of soil dates determined using radiocarbon in profiles from permafrost in subarctic Canada. Depth-specific soil core samples were dated using radiocarbon. Soil cores were sampled during early summer in 2013 and 2014. Each year soil cores were sampled…","state":"published","temporalExtentText":"Data collected from 2013 to 2014","title":"Soil dates using radiocarbon in profiles from permafrost in subarctic Canada","version":1.0,"view":["public","kath"]},{"authorAffiliation":["University of Reading"],"authorFamilyName":["Maslanka","Morrison","White"],"authorFullName":["Maslanka, W.M.","Morrison, K.","White, K."],"authorGivenName":["W.M.","K."],"authorOrcid":["0000-0002-1777-733X","0000-0002-8075-0316","0000-0002-4328-8185"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"This dataset includes relative surface soil moisture across the Thames Valley, between October 2015 and September 2021, using backscatter radar data collected using the ESA Sentinel-1 Constellation.\n\nRadar backscatter was normalised to 40 incidence angle, using a novel monthly normalisation parameterisation.","documentType":"GEMINI_DOCUMENT","familyName":["Maslanka","Morrison","White"],"fullName":["Maslanka, W.M.","Morrison, K.","White, K.","Maslanka, W."],"funder":["Natural Environment Research Council"],"givenName":["W.M.","K.","William"],"grant":["NE/R004668/1"],"identifier":"b23d63d1-dcc5-4c49-a6b5-67154f3739b7","incomingCitationCount":0,"keyword":["River Thames","Soil","Sentinel-1","Change Detection","soil moisture"],"keywordsOther":["Sentinel-1","Change Detection","soil moisture"],"keywordsPlace":["River Thames"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"Sentinel-1 IWGRDH data (VV Pol) went through the following processing steps:\n•\tExtraction\n•\tOrbital Correction\n•\tThermal and Border Noise Removal\n•\tCalibration\n•\tSpeckle Filtering (Refined Lee)\n•\tTerrain Correction\n•\tConversion to dB\n•\tSubsetting\n•\tLook Incidence Angle Normalisation\n•\tDynamic Masking (removing anomolus data)\n•\tSpatial Averaging to 100m resolution\n•\trSSM Calculation\nFull explanation of lineage and methodology can be found here: 10.1109/TGRS.2022.3175256\n","locations":["POLYGON((-2.22 51.15, -2.22 52.22, -0.57 52.22, -0.57 51.15, -2.22 51.15))"],"metadataDate":"2026-07-25T12:53:59.000Z","orcid":["0000-0002-1777-733X","0000-0002-8075-0316","0000-0002-4328-8185"],"organisation":["University of Reading","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-09-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b23d63d1-dcc5-4c49-a6b5-67154f3739b7","10.5285/b23d63d1-dcc5-4c49-a6b5-67154f3739b7","doi:10.5285/b23d63d1-dcc5-4c49-a6b5-67154f3739b7"],"resourceType":"Dataset","rightsHolder":["University of Reading"],"ror":["https://ror.org/04xw4m193","https://ror.org/05v62cm79"],"shortenedDescription":"This dataset includes relative surface soil moisture across the Thames Valley, between October 2015 and September 2021, using backscatter radar data collected using the ESA Sentinel-1 Constellation.\n\nRadar backscatter was normalised to 40 incidence angle, using a novel…","state":"published","supplementalDescription":["W. Maslanka, K. Morrison, K. White, A. Verhoef and J. Clark, \"Retrieval of Sub-Kilometric Relative Surface Soil Moisture With Sentinel-1 Utilizing Different Backscatter Normalization Factors,\" in IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-13, 2022, Art no. 4410613","Monitoring Relative Surface Soil Moisture Using Sentinel-1 Across\nthe River Thames Catchment, William Maslanka, Keith Morrison, Kevin White, Anne Verhoef  and Joanna Clark. "],"temporalExtentText":"Data collected from 2015 to 2021","title":"Relative surface soil moisture for the Thames Valley, United Kingdom, October 2015 to September 2021","topic":["0/Soil/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Institute of Terrestrial Ecology","Centre for Ecology & Hydrology"],"authorFamilyName":["Barr","Bunce","Clarke","Gillespie","Howard","Maskell","Norton","Scott","Smart","Stuart","Watkins","Wood","Wright"],"authorFullName":["Barr, C.J.","Bunce, R.G.H.","Clarke, R.T.","Gillespie, M.K.","Howard, D.C.","Maskell, L.C.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Watkins, J.W.","Wood, C.M.","Wright, S.M."],"authorGivenName":["C.J.","R.G.H.","R.T.","M.K.","D.C.","L.C.","L.R.","R.J.","W.A.","S.M.","R.C.","J.W. ","C.M."],"authorOrcid":["0000-0003-4494-7450","0000-0003-4006-7755","0000-0001-9349-0069","0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of stock (length) data for linear features across Great Britain in 1998. The data are national estimates generated by analysing the sample data from 569 1km squares surveyed for the Countryside Survey long term monitoring project, then scaling up to a national level. The data are presented as mean lengths for 7 different feature categories within 45 different land class types, based on the ITE Land Classification. The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside, carried out by the Centre for Ecology & Hydrology. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 with repeated visits to the majority of squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to linear features, habitat areas, species plot, soil plot, freshwater habitat and satellite map data are also produced by Countryside Survey.","documentType":"GEMINI_DOCUMENT","familyName":["Barr","Bunce","Clarke","Gillespie","Howard","Maskell","Norton","Scott","Smart","Stuart","Watkins","Wood","Wright"],"fullName":["Barr, C.J.","Bunce, R.G.H.","Clarke, R.T.","Gillespie, M.K.","Howard, D.C.","Maskell, L.C.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Watkins, J.W.","Wood, C.M.","Wright, S.M.","Wood, C."],"givenName":["C.J.","R.G.H.","R.T.","M.K.","D.C.","L.C.","L.R.","R.J.","W.A.","S.M.","R.C.","J.W. ","C.M.","Claire"],"identifier":"59422890-c8d3-49b8-b17e-4f5062475140","incomingCitationCount":0,"keyword":["Great Britain","Environmental survey","Mapping","hedges","fences","walls","tree lines","grass strips","banks"],"keywordsOther":["hedges","fences","walls","tree lines","grass strips","banks"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Environmental survey","Mapping"],"licence":"Open government licence","lineage":"The data were recorded onto paper field sheets in the summers of 1998 and 1999 by surveyors. Data were recorded from 569 1km squares sited across Britain, selected by random stratified sample. The boundary lines were digitized in 1998-2000. The digitized data were used to generate national estimates of the stock of linear features for Great Britain using the standard Countryside Survey methodology (refer to the online documentation). Estimates are presented by ITE Land Class (2007 version), as mean length per Land Class. Data are managed by the Centre for Ecology & Hydrology, Lancaster. ","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T23:07:24.000Z","orcid":["0000-0003-4494-7450","0000-0003-4006-7755","0000-0001-9349-0069","0000-0002-0394-2998"],"organisation":["Institute of Terrestrial Ecology","Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-11-28T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1406200148983","CEH:EIDC::1406200148983","https://catalogue.ceh.ac.uk/id/59422890-c8d3-49b8-b17e-4f5062475140","10.5285/59422890-c8d3-49b8-b17e-4f5062475140","doi:10.5285/59422890-c8d3-49b8-b17e-4f5062475140"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of stock (length) data for linear features across Great Britain in 1998. The data are national estimates generated by analysing the sample data from 569 1km squares surveyed for the Countryside Survey long term monitoring project, then scaling…","state":"published","temporalExtentText":"Data collected from 1998 to 1999","title":"Countryside Survey 1998 estimates of linear feature lengths in Great Britain","topic":["0/Environmental survey/","0/Mapping/"],"version":1.0,"view":["public","clamw"]},{"availability":"Unknown","catalogue":"eidc","description":"These series comprise of nitrous oxide (N2O) flux measurements and the accompanying data  collected during the UK GHG platform project AC0116 (The INVEN2ORY project). Fluxes were measured using either the flux chamber or eddy covariance methods from Easter Bush Farm (University of Edinburgh), located in the Midlothian area 16 miles south of Edinburgh, Scotland. The work was carried out as part of a PhD project (in partnership with the University of Edinburgh) investigating N2O fluxes from plot to farm scale. ","documentType":"GEMINI_DOCUMENT","identifier":"dadbd1a5-e682-4181-a1fe-755e804a36e6","incomingCitationCount":0,"licence":"Non-Open government licence","metadataDate":"2026-07-25T14:22:51.000Z","organisation":["NERC EDS Environmental Information Data Centre"],"recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/dadbd1a5-e682-4181-a1fe-755e804a36e6"],"resourceType":"Aggregation","ror":["https://ror.org/04xw4m193"],"shortenedDescription":"These series comprise of nitrous oxide (N2O) flux measurements and the accompanying data  collected during the UK GHG platform project AC0116 (The INVEN2ORY project). Fluxes were measured using either the flux chamber or eddy covariance methods from Easter Bush Farm…","state":"published","title":"Nitrous oxide fluxes and associated measurements from Easter Bush Farm, Central Scotland (2012 – 2013)","version":1.0,"view":["public","crimar"]},{"availability":"Available","catalogue":"eidc","dataFormat":["JPEG","PNG","TIFF"],"description":"This web map service (WMS) show Concentration Based Estimated Deposition (CBED) values of sulphur and nitrogen atmospheric deposition for 5x5 kilometre (km) grid squares of the UK averaged over the years 2013 to 2015.\n\nThe maps show deposition values (kg ha-1 year-1) for oxidised nitrogen (NO2/NO3), reduced nitrogen (NH3/NH4) , non-marine sulphur (SO2/SO4) and base cations (Ca+Mg) . These total deposition values are the sum of four components calculated separately: wet deposition, dry deposition of gases, dry deposition of particulate matter and cloud droplet deposition. \n\nHabitat-specific data are provided for (i) moorland/short vegetation everywhere, and (ii) forest everywhere. Additionally, the grid square average over multiple land cover types (i.e. arable, grassland, forest, moorland, urban) is also provided.","documentType":"GEMINI_DOCUMENT","familyName":["Bealey"],"fullName":["Bealey, B."],"givenName":["Bill"],"identifier":"fe7886dc-1953-40f1-acf7-2fc32ebe1105","incomingCitationCount":0,"keyword":["nitrogen","base cations","sulphur","deposition","pollutant","Concentration Based Estimated Deposition (CBED)","infoMapAccessService"],"keywordsOther":["nitrogen","base cations","sulphur","deposition","pollutant","Concentration Based Estimated Deposition (CBED)","infoMapAccessService"],"licence":"Non-Open government licence","lineage":"The Concentration Based Estimated Deposition (CBED) methodology generates 5x5 km resolution maps of wet and dry deposition of sulphur, oxidised and reduced nitrogen, and base cations from measured concentrations of gases and particulate matter in air and measured concentrations of ions in precipitation. These data are collected at sites in the UK Eutrophying and Acidifying Pollutants (UKEAP) network. The site-based measurements are first interpolated to generate maps of concentrations for the UK. The ion concentrations in precipitation are combined with an annual precipitation map from the UK Meteorological Office to generate values of wet deposition. Gas and particulate matter concentration maps are combined with spatially distributed estimates of habitat-specific deposition velocities to generate dry deposition for 5 land cover categories: forest, moorland, grassland, arable and urban. The deposition to the 5 land cover categories are combined, depending on the relative proportions of different land cover categories in the 5x5 km grid square, to generate values for grid square averaged deposition. Dry deposition includes deposition of gases (Sulphur Dioxide (SO2), Nitric Acid (HNO3), Nitrogen Dioxide (NO2) and Ammonia (NH3) and particulate matter (sulphate, nitrate, ammonium, calcium and magnesium) to vegetation. For critical load exceedance calculations, deposition values for moorland are applied to all non-woodland habitats, and deposition values for forest are applied to all woodland habitats.\n\nData processing was done using the GenStat programme and results output as text files, these were then converted to tif images to generate this web map service.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-08-12T11:43:11.000Z","organisation":["Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-09-11T00:00:00.000Z","recordType":"Map (web service)","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/fe7886dc-1953-40f1-acf7-2fc32ebe1105"],"resourceType":"Service","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This web map service (WMS) show Concentration Based Estimated Deposition (CBED) values of sulphur and nitrogen atmospheric deposition for 5x5 kilometre (km) grid squares of the UK averaged over the years 2013 to 2015.\n\nThe maps show deposition values (kg ha-1 year-1)…","state":"published","temporalExtentText":"Data collected from 2013 to 2015","title":"WMS for sulphur and nitrogen atmospheric Concentration Based Estimated Deposition (CBED), 2013-2015","version":1.0,"view":["public","phtr"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Griffiths","Edwards","Scarlett","Webb","Sarlej","Thomson"],"authorFullName":["Griffiths, R.","Edwards, F.","Scarlett, P.","Webb, G.","Sarlej, R.","Thomson, B."],"authorGivenName":["R.","F.","P.","G.","B."],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains operational taxonomic units for epilithon eukaryotes (water samples): Approximate location of sampling sites was determined from maps to provide good spatial coverage of the Wolf River through to the Tamar River. Exact sites were determined in the field, considering accessibility and other logistics. The exact location of each sample site was determined using a Garmin GPS12. Three stones were taken from each of the 20 locations and epilithon removed from a defined area. Samples were kept in the cold and removed to the laboratory for analyses. DNA was extracted from all soil and epilithon samples using the MOBIO Powersoil 96 well DNA extraction kit. DNA was quality checked for purity and yield prior to submission for 454 pyrosequencing to assess both bacterial and eukaryotic biodiversity within each sample. Following bioinformatic sequence processing, sequencing were clustered into operational taxonomic units (OTU) and the data tables display the percentage of each OTU within each sample.","documentType":"GEMINI_DOCUMENT","familyName":["Griffiths","Edwards","Scarlett","Webb","Sarlej","Thomson"],"fullName":["Griffiths, R.","Edwards, F.","Scarlett, P.","Webb, G.","Sarlej, R.","Thomson, B."],"givenName":["R.","F.","P.","G.","B."],"identifier":"18023db5-25d8-44f7-b291-61869f937367","incomingCitationCount":0,"keyword":["Biodiversity","Environmental monitoring facilities","Species distribution","microbiology","Tellus","South West project","soil","genetics","hydrography"],"keywordsOther":["Environmental monitoring facilities","Species distribution","microbiology","Tellus","South West project","soil","genetics","hydrography"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Epilithon (water samples): Approximate location of sampling sites was determined from maps to provide good spatial coverage of the Wolf River through to the Tamar River. Exact sites were determined in the field, considering accessibility and other logistics. The exact location of each sample site was determined using a Garmin GPS12. Three stones were taken from each of the 20 locations and epilithon removed from a defined area. Samples were kept in the cold and removed to the laboratory for analyses. DNA was extracted from all soil and epilithon samples using the MOBIO Powersoil 96 well DNA extraction kit. DNA was quality checked for purity and yield prior to submission for 454 pyrosequencing to assess both bacterial and eukaryotic biodiversity within each sample. Following bioinformatic sequence processing, sequencing were clustered into operational taxonomic units (OTU) and the data tables display the percentage of each OTU within each sample.","locations":["POLYGON((-4.378 50.351, -4.378 50.785, -3.906 50.785, -3.906 50.351, -4.378 50.351))"],"metadataDate":"2026-07-24T19:12:34.000Z","organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-05-06T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1395928342078","CEH:EIDC::1395928342078","https://catalogue.ceh.ac.uk/id/18023db5-25d8-44f7-b291-61869f937367","10.5285/18023db5-25d8-44f7-b291-61869f937367","doi:10.5285/18023db5-25d8-44f7-b291-61869f937367"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains operational taxonomic units for epilithon eukaryotes (water samples): Approximate location of sampling sites was determined from maps to provide good spatial coverage of the Wolf River through to the Tamar River. Exact sites were determined in…","state":"published","temporalExtentText":"Data collected from 2013 to 2014","title":"Operational taxonomic units for epilithon eukaryotes in the rivers Wolf and Tamar catchments","topic":["0/Biodiversity/"],"version":1.0,"view":["public","jone"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Reinsch","Brooks","Emmett"],"authorFullName":["Reinsch, S.","Brooks, M.","Emmett, B.A."],"authorGivenName":["S.","M.","B.A."],"authorOrcid":["0000-0003-4649-0677","0000-0002-2713-4389"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset holds daily data from one automated weather station (AWS) located at the Climoor field site in Clocaenog forest, North East Wales. The data are on relative humidity (percent), air temperature (degrees Celsius), rainfall (millimetres), air pressure (millibars), net radiation (millivolts), solar radiation (kilowatts per square metre per second), photosynthetic active radiation (PAR; micromol per square metre per second), wind speed (metres per second) and wind direction (degrees).\n\nThe data is an extension for the AWS datasets 1999-2015, 2015-2016 and 2016-2021 covering the time period January 2022 to December 2023. Data are logged in minute intervals, averaged to half-hourly. The data are sent from the field site to a UKCEH server. A working copy is created, quality assurance checks carried out and daily averages calculated from half-hourly records. Data which were not recorded are marked with “NA”, faulty data were replaced by “-9999”. Note, the rainfall sensor was broken during this time period, but the column is kept in the datafile for consistency with previous data records. Data collection, processing and quality checking was carried out by members of UKCEH staff.\n\nThe Climoor field experiment intends to answer questions regarding the effects of warming and drought on ecosystem processes. The reported data are collected to monitor site specific environmental conditions and their development over time. These data are important to interpret results that are collected from the climate change manipulations imposed in the field.\n","documentType":"GEMINI_DOCUMENT","familyName":["Reinsch","Brooks","Emmett"],"fullName":["Reinsch, S.","Brooks, M.","Emmett, B.A."],"funder":["Natural Environment Research Council"],"givenName":["S.","M.","B.A."],"grant":["NE/R016429/1"],"identifier":"b86585cf-76cd-42c8-8db9-57ebc750f1de","incomingCitationCount":0,"keyword":["UK","Wales","Climate and climate change","meteorological data","UK-SCAPE","air pressure","heathland","climate change","net radiation","photosynthetic active radiation","solar radiation","wind direction","wind speed","relative humidity","air temperature","rainfall","atmospheric precipitation"],"keywordsOther":["meteorological data","UK-SCAPE","air pressure","heathland","climate change","net radiation","photosynthetic active radiation","solar radiation","wind direction","wind speed","relative humidity","air temperature","rainfall","atmospheric precipitation"],"keywordsPlace":["UK","Wales"],"keywordsTheme":["Climate and climate change"],"licence":"Open government licence","lineage":"Data were recorded every minute, then automatically averaged to half-hourly data by the data-logger. The half-hourly data were transferred from loggers at the field site onto UKCEH Bangor servers via remote telemetry. Each morning, the previous day’s data was transferred to the server. Data were then averaged to daily values. An automated script transferred the data into the project shared area of the shared network drive. Data quality checking was performed at the end of each calendar year. Telemetered data were processed using R. Data were averaged to daily values and inspected visually. Erroneous values were removed taken into account the annual cycle. A .csv file was produced from the quality assessed data. The following measures were taken with sensors from Campbell Scientific: relative humidity and air temperature are recorded with an HMP45C sensor. Rainfall sums are measured with an ARG100 Tipping bucket, air pressure is measured with a CS100 Barometer and net radiation is measured with an NR-Lites sensor. Further, Solar radiation and PAR are measured using a Skye SP1110 pyranometer and a SKP215 quantum sensor from Skye Instruments. Wind direction and speed are recorded using a windsonic 2D Ultrasonic Anemometer from Windsonic.","locations":["POLYGON((-3.479 53.033, -3.479 53.077, -3.391 53.077, -3.391 53.033, -3.479 53.033))"],"metadataDate":"2026-07-25T12:57:03.000Z","orcid":["0000-0003-4649-0677","0000-0002-2713-4389"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-04-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b86585cf-76cd-42c8-8db9-57ebc750f1de","10.5285/b86585cf-76cd-42c8-8db9-57ebc750f1de","doi:10.5285/b86585cf-76cd-42c8-8db9-57ebc750f1de"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset holds daily data from one automated weather station (AWS) located at the Climoor field site in Clocaenog forest, North East Wales. The data are on relative humidity (percent), air temperature (degrees Celsius), rainfall (millimetres), air pressure (millibars),…","state":"published","temporalExtentText":"Data collected from 2022 to 2023","title":"Daily automatic weather station (AWS) data from Climoor fieldsite in Clocaenog Forest 2022-2023","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","hajd"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Ulster Wildlife Trust"],"authorFamilyName":["Stephens","Iwanicka","Duarte","Tang","Crory"],"authorFullName":["Stephens, A.","Iwanicka, A.","Duarte, F.","Tang, S.","Crory, A."],"authorGivenName":["A.","F.","S."],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of ammonia (NH3) measurements from a set of ALPHA (Adapted Low-cost Passive High Absorption) sampler sites at Ballynahone National Nature Reserve, a designated Area of Special Scientific Interest (ASSI), Special Area of Conservation (SAC) and Ramsar (wetland of international importance designated under the Ramsar Convention) site in Northern Ireland. The park is an ammonia sensitive peatland ecosystem managed locally by Ulster Wildlife Trust (UWT). The data were originally collected due to concern that Ballynahone Bog may be adversely affected by NH3 emissions arising from local livestock installations.","documentType":"GEMINI_DOCUMENT","familyName":["Stephens","Iwanicka","Duarte","Tang","Crory"],"fullName":["Stephens, A.","Iwanicka, A.","Duarte, F.","Tang, S.","Crory, A."],"givenName":["A.","F.","S."],"identifier":"2d0e7fc2-237e-40b9-a10a-16a3993cf8ad","incomingCitationCount":0,"keyword":["Pollution","ALPHA sampler","ammonia"],"keywordsOther":["ALPHA sampler","ammonia"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"This data was produced from samplers collected by UWT and analysed by UK CEH.  Analysis data was processed using the UK CEH AAGA data handling system.","locations":["POLYGON((-6.698 54.822, -6.698 54.836, -6.657 54.836, -6.657 54.822, -6.698 54.822))"],"metadataDate":"2026-07-24T19:33:21.000Z","organisation":["UK Centre for Ecology & Hydrology","Ulster Wildlife Trust","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-10-06T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2d0e7fc2-237e-40b9-a10a-16a3993cf8ad","10.5285/2d0e7fc2-237e-40b9-a10a-16a3993cf8ad","doi:10.5285/2d0e7fc2-237e-40b9-a10a-16a3993cf8ad"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of ammonia (NH3) measurements from a set of ALPHA (Adapted Low-cost Passive High Absorption) sampler sites at Ballynahone National Nature Reserve, a designated Area of Special Scientific Interest (ASSI), Special Area of Conservation (SAC) and Ramsar…","state":"published","temporalExtentText":"Data collected from 2021 to 2021","title":"Ammonia measurements from a passive sampler at Ballynahone Bog field site, Northern Ireland, 2021","topic":["0/Pollution/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["Centre for Ecology & Hydrology","University of Edinburgh"],"authorFamilyName":["Case","McNamara","Reay","Chaplow","Whitaker"],"authorFullName":["Case, S.D.C.","McNamara, N.P.","Reay, D.S.","Chaplow, J.S.","Whitaker, J."],"authorGivenName":["S.D.C.","N.P.","D.S.","J.S.","J."],"authorOrcid":["0000-0003-3445-3684","0000-0002-5143-5819","0000-0002-8058-8697","0000-0001-8824-471X"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/01nrxwf90"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data from an investigation of the effects of biochar application to soil on greenhouse gas emissions using soil from a bioenergy crop (Miscanthus X. giganteus). Data include physical (bulk density) and chemical analyses of the soil (total carbon (C) and nitrogen (N), extractable ammonium and nitrate), and greenhouse gas (GHG) emissions (carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O)) during incubations. Data were collected during two incubation experiments investigating the effects of temperature, soil moisture and soil aeration on biochar induced suppression of GHG emissions. Biochar is a carbon rich substances which is being advocated as a climate mitigation tool to increase carbon sequestration and reduce nitrous oxide emissions. ","documentType":"GEMINI_DOCUMENT","familyName":["Case","McNamara","Reay","Chaplow","Whitaker"],"fullName":["Case, S.D.C.","McNamara, N.P.","Reay, D.S.","Chaplow, J.S.","Whitaker, J.","McNamara, N."],"givenName":["S.D.C.","N.P.","D.S.","J.S.","J.","Niall"],"identifier":"2757e972-a7fe-494d-92c3-c3205dfdef19","incomingCitationCount":0,"keyword":["Lincolnshire","Soil","biochar","chemistry","N2O","nitrous oxide","atmospheric emission","greenhouse gas","soil","nitrogen oxides"],"keywordsOther":["biochar","chemistry","N2O","nitrous oxide","atmospheric emission","greenhouse gas","soil","nitrogen oxides"],"keywordsPlace":["Lincolnshire"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"Twenty soil cores were collected from a field site in Lincolnshire in March 2011, three weeks after planting and Nitrogen fertiliser addition. Soil cores of 150-180 millimetre (mm) depth, containing approximately 1.6 kilogram soil (dry weight) were extracted in Polyvinyl chloride (PVC) pipes (height 215 mm depth 102 mm) and stored at 4 degrees centigrade for 30 days. A four-treatment factorial experiment was designed using soils un-amended or amended with biochar and un-wetted or wetted with deionised water (5 replicates per treatment). Soil in all the cores was mixed to 7 centimetre (cm) depth. To half of the cores, biochar (less than 2 mm) was mixed into the soil at a rate of 3 percent soil dry weight (approximately 22 tons per hectare (t ha-1)). After allowing for any potential Carbon dioxide (CO2) flush from newly-mixed soil to equilibrate for seven days, the cores were placed at 16 degrees centigrade in the dark. Un-wetted soil cores were maintained at 23 percent Gravimetric moisture content (GMC), whilst the GMC of 'wetted' soil cores was increased to 28 percent GMC at the time zero (t0) of four wetting events on day 17, 46, 67 and 116. These water addition rates were based on mean and maximum monthly soil GMC measured in the field between 2009-2010.","locations":["POLYGON((-0.95 52.64, -0.95 53.726, 0.358 53.726, 0.358 52.64, -0.95 52.64))"],"metadataDate":"2026-09-15T08:41:55.000Z","orcid":["0000-0003-3445-3684","0000-0002-5143-5819","0000-0002-8058-8697","0000-0001-8824-471X"],"organisation":["Centre for Ecology & Hydrology","University of Edinburgh","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-01-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1385546340624","CEH:EIDC::1385546340624","https://catalogue.ceh.ac.uk/id/2757e972-a7fe-494d-92c3-c3205dfdef19","10.5285/2757e972-a7fe-494d-92c3-c3205dfdef19","doi:10.5285/2757e972-a7fe-494d-92c3-c3205dfdef19"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/01nrxwf90","https://ror.org/04xw4m193"],"shortenedDescription":"Data from an investigation of the effects of biochar application to soil on greenhouse gas emissions using soil from a bioenergy crop (Miscanthus X. giganteus). Data include physical (bulk density) and chemical analyses of the soil (total carbon (C) and nitrogen (N),…","state":"published","supplementalDescription":["Case, Sean D.C.; McNamara, Niall P.; Reay, David S.; Whitaker, Jeanette. 2012 The effect of biochar addition on N2O and CO2 emissions from a sandy loam soil: the role of soil aeration. Soil Biology and Biochemistry, 51. 125-134."],"temporalExtentText":"Data collected from 2011 to 2012","title":"Soil properties and soil greenhouse gas emissions in biochar-amended bioenergy soils incubated under controlled laboratory conditions","topic":["0/Soil/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Rothamsted Research","Butterfly Conservation"],"authorFamilyName":["Harrower","Bell","Blumgart","Botham","Fox","Isaac","Roy","Shortall"],"authorFullName":["Harrower, C.A.","Bell, J.R.","Blumgart, D.","Botham, M.S.","Fox, R.","Isaac, N.J.B.","Roy, D.B.","Shortall, C.R."],"authorGivenName":["C.A.","J.R.","D.","M.S.","R.","N.J.B.","D.B.","C.R."],"authorOrcid":["0000-0001-5070-5293","0000-0003-1640-6120","0000-0002-5276-1405","0000-0001-6992-3522","0000-0002-4869-8052","0000-0002-5147-0331","0000-0002-7175-5393"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/0347fy350","https://ror.org/05jg03a59"],"availability":"Available","catalogue":"eidc","catalogueView":["assist"],"dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains abundance trends for 432 species of moths (mostly macro-moths) estimated using the data collected by Rothamsted Insect Survey (RIS) from their light-trap network between the years 1968 and 2016. The trends were calculated using a Generalized Abundance Index (GAI) model. The trends are presented as year coefficients from the statistical model, Annual Growth Rates (AGR), and the total percentage changes over the time series for each species. For each trend metric 95% and 90% confidence intervals are provided. Two versions of the trends are presented: one using data from all traps in the Britain & Ireland over the period of 1968-2016 and a second dataset restricted to traps in Great Britain over the period of 1970-2016.\n\nData acquisition was partially funded by the Natural Environment Research Council (NERC) under research programme NE/N018125/1 Achieving Sustainable Agricultural Systems (ASSIST). ASSIST is an initiative jointly supported by NERC and the Biotechnology and Biological Sciences Research Council (BBSRC).  The Rothamsted Insect Survey is funded by the BBSRC under the Core Capability Grant BBS/E/C/000J0200.  The research builds upon model development supported by NERC award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","familyName":["Harrower","Bell","Blumgart","Botham","Fox","Isaac","Roy","Shortall"],"fullName":["Harrower, C.A.","Bell, J.R.","Blumgart, D.","Botham, M.S.","Fox, R.","Isaac, N.J.B.","Roy, D.B.","Shortall, C.R.","Harrower, C."],"funder":["Natural Environment Research Council","Biotechnology and Biological Sciences Research Council"],"givenName":["C.A.","J.R.","D.","M.S.","R.","N.J.B.","D.B.","C.R.","C."],"grant":["NE/N018125/1","BBS/E/C/000J0200"],"identifier":"0a7d65e8-8bc8-46e5-ab72-ee64ed851583","incomingCitationCount":3,"keyword":["ASSIST","Achieving Sustainable Agricultural Systems","UK-SCAPE","Biodiversity","Environmental survey"],"keywordsProject":["ASSIST","Achieving Sustainable Agricultural Systems","UK-SCAPE"],"keywordsTheme":["Biodiversity","Environmental survey"],"licence":"Open government licence","lineage":"The Rothamsted light-trap network is a network of standardised light-traps that are operated throughout the year by volunteers. Using standardised traps means that the data from different sites and/or times are directly comparable. Although for the majority of species the time period of the data used in the analysis was 1968-2016, there was a handful of species of species where the time period had to be modified due taxonomic or data issues. For example the time period used for many pug species in the analysis was 1986 onwards due to inconsistency in the identification of these species in earlier years through a lack of suitable identification resources such as field guides. A few other species had initial years excluded due to data issues in those earlier years.\n\nThe GAI methodology is a two-step statistical method designed to analyse count data for taxa showing seasonal patterns in abundance, such as Butterflies and Moths. The first step uses statistical models, in this case generalised additive models (GAMs) with a smoothing spline, to estimate annual flight curves for each species.  The second stage takes these annual flight curves and uses them to correct for seasonal gaps in recording, producing estimated annual abundance indices for each site (site indices), to which a Poisson general linear model (GLM) is fitted allowing to the year and sites effects upon the site. The year coefficient from these GLMs are one of the measures of the temporal abundance trend presented in this data. In addition to the coefficient itself two additional metrics of temporal trend were estimated and are presented here, specifically the Annual Growth Rate (AGR) and the total percentage change over the time series for each species. Confidence intervals on the trend metrics were determined by bootstrapping (1000 replicates).","locations":["POLYGON((-10.669 49.864, -10.669 60.861, 1.768 60.861, 1.768 49.864, -10.669 49.864))"],"metadataDate":"2026-07-24T18:58:46.000Z","orcid":["0000-0001-5070-5293","0000-0003-1640-6120","0000-0002-5276-1405","0000-0001-6992-3522","0000-0002-4869-8052","0000-0002-5147-0331","0000-0002-7175-5393"],"organisation":["UK Centre for Ecology & Hydrology","Rothamsted Research","Butterfly Conservation","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-04-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0a7d65e8-8bc8-46e5-ab72-ee64ed851583","10.5285/0a7d65e8-8bc8-46e5-ab72-ee64ed851583","doi:10.5285/0a7d65e8-8bc8-46e5-ab72-ee64ed851583"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/0347fy350","https://ror.org/05jg03a59","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains abundance trends for 432 species of moths (mostly macro-moths) estimated using the data collected by Rothamsted Insect Survey (RIS) from their light-trap network between the years 1968 and 2016. The trends were calculated using a Generalized Abundance…","state":"published","supplementalDescription":["The Insect Survey is host to a nationwide network of light-traps and suction-traps that collect invaluable data on the migration of moths and aphids."],"supplementalName":["Rothamsted Research Insect Survey website"],"temporalExtentText":"Data collected from 1968 to 2016","title":"Moth trends for Britain and Ireland from the Rothamsted Insect Survey light-trap network (1968 to 2016)","topic":["0/Biodiversity/","0/Environmental survey/"],"version":1.0,"view":["public","hajd"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/eidc/documents"}