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Then, the digitised map was verified on the ground and amended as needed.","locations":["POLYGON((-3.771 52.432, -3.771 52.55, -3.687 52.55, -3.687 52.432, -3.771 52.432))"],"metadataDate":"2026-09-01T17:38:53.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-04-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1396276770403","CEH:EIDC::1396276770403","https://catalogue.ceh.ac.uk/id/9d7229b3-47c0-4255-8d57-dda863065774"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Vegetation map of Plynlimon catchments. The vegetation map was created for assisting with identifying soil survey vegetation boundaries, and is not an authoritative vegetation survey. The defined vegetation classes correspond with the classes defined in CEH Land Cover…","state":"published","temporalExtentText":"Data collection started in 2013","title":"Plynlimon research catchments: vegetation map","topic":["0/Land cover/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["Manchester Metropolitan University","Cornell University","Embrapa Amazônia Oriental","Stockholm Environment Institute","University of Oxford","Universidade Estadual Paulista 'Júlio de Mesquita Filho'","Pontifícia Universidade Católica do Rio Grande do Sul","Lancaster University"],"authorFamilyName":["Lees","Moura","Franca","Ferreira","Gardner","Berenguer","Chesini","Andertti","Barlow"],"authorFullName":["Lees, A.","Moura, N.","Franca, F.M.","Ferreira, J.N.","Gardner, T.","Berenguer, E.","Chesini, L.","Andertti, C.","Barlow, J."],"authorGivenName":["A.","N.","F.M.","J.N.","T.","E.","L.","C.","J."],"authorOrcid":["0000-0001-7603-9081","0000-0003-3827-1917","0000-0002-4008-2341","0000-0002-4007-2936","0000-0001-8157-8792","0000-0002-9937-3979","0000-0003-4125-5344","0000-0003-4992-2594"],"authorRor":["https://ror.org/02hstj355","https://ror.org/05bnh6r87","https://ror.org/052gg0110","https://ror.org/025vmq686","https://ror.org/04f2nsd36"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data set includes longitudinal occurrence of bird species at 36 forest plots – half of which burned during the 2015-16 El Niño drought – distributed across a gradient of prior human disturbance in the Brazilian Amazon. Data was collected in 2010 and 2016 (around 6 years before, and one year after the 2015-16 El Niño, respectively) as part of the projects 'Assessing ENSO-induced Fire Impacts in tropical Rainforest Ecosystems' (AFIRE) and 'Biodiversity and Ecosystem Functioning in degraded and recovering Amazonian and Atlantic Forests' (ECOFOR), within the NERC Human-Modified Tropical Forest (HTMF) programme.","documentType":"GEMINI_DOCUMENT","familyName":["Lees","Moura","Franca","Ferreira","Gardner","Berenguer","Chesini","Andertti","Barlow"],"fullName":["Lees, A.","Moura, N.","Franca, F.M.","Ferreira, J.N.","Gardner, T.","Berenguer, E.","Chesini, L.","Andertti, C.","Barlow, J."],"funder":["Natural Environment Research Council"],"givenName":["A.","N.","F.M.","J.N.","T.","E.","L.","C.","J.","Alexander"],"grant":["NE/K016431/1","NE/P004512/1"],"identifier":"4b05caee-a3c8-46a7-b675-e5a94554bd9f","incomingCitationCount":0,"keyword":["Biodiversity and Ecosystem Functioning in degraded and recovering Amazonian and Atlantic Forests (ECOFOR)","Assessing ENSO-induced Fire Impacts in tropical Rainforest Ecosystems (AFIRE) ","Human-Modified Tropical Forest (HTMF) programme","Biodiversity","Climate and climate change","bird","fire","drought"],"keywordsOther":["bird","fire","drought"],"keywordsProject":["Biodiversity and Ecosystem Functioning in degraded and recovering Amazonian and Atlantic Forests (ECOFOR)","Assessing ENSO-induced Fire Impacts in tropical Rainforest Ecosystems (AFIRE) ","Human-Modified Tropical Forest (HTMF) programme"],"keywordsTheme":["Biodiversity","Climate and climate change"],"licence":"Open government licence","lineage":"In 2010 and 2016, bird sampling occurred along 300-m forest plots at the same three sampling points (0, 150 and 300m). All bird species seen or heard were recorded through two repetitions of three 15-min, 75-m fixed-width point counts per plot. Surveys were undertaken between 15 min before dawn and 09:30, only in days without persistent rain and/or strong winds. Point counts were recorded with solid-state recorders. Seasonal and temporal variation in bird vocal activity were minimized by systematically rotating repetitions between catchments and study plots. Datasets were processed by tropical bird specialists, and were then transferred to the programme data manager of the HMTF programme.","locations":["POLYGON((-55 -3.3, -55 -2.3, -54.3 -2.3, -54.3 -3.3, -55 -3.3))"],"metadataDate":"2026-07-24T21:19:49.000Z","orcid":["0000-0001-7603-9081","0000-0003-3827-1917","0000-0002-4008-2341","0000-0002-4007-2936","0000-0001-8157-8792","0000-0002-9937-3979","0000-0003-4125-5344","0000-0003-4992-2594"],"organisation":["Manchester Metropolitan University","Cornell University","Embrapa Amazônia Oriental","Stockholm Environment Institute","University of Oxford","Universidade Estadual Paulista 'Júlio de Mesquita Filho'","Pontifícia Universidade Católica do Rio Grande do Sul","Lancaster University","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-12-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4b05caee-a3c8-46a7-b675-e5a94554bd9f","10.5285/4b05caee-a3c8-46a7-b675-e5a94554bd9f","doi:10.5285/4b05caee-a3c8-46a7-b675-e5a94554bd9f"],"resourceType":"Dataset","ror":["https://ror.org/02hstj355","https://ror.org/05bnh6r87","https://ror.org/052gg0110","https://ror.org/025vmq686","https://ror.org/04f2nsd36","https://ror.org/04xw4m193"],"shortenedDescription":"This data set includes longitudinal occurrence of bird species at 36 forest plots – half of which burned during the 2015-16 El Niño drought – distributed across a gradient of prior human disturbance in the Brazilian Amazon. Data was collected in 2010 and 2016 (around…","state":"published","temporalExtentText":"Data collected from 2010 to 2016","title":"Avifauna occurrence data from a longitudinal experiment in human-modified Amazonian forests affected by the 2015-16 El Niño drought and associated fires","topic":["0/Biodiversity/","0/Climate and climate change/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University College London","University of Sheffield"],"authorFamilyName":["Finnegan","White","Koh","Camus","Fowler","Pomiankowski"],"authorFullName":["Finnegan, S.","White, N.","Koh, D.","Camus, M.F.","Fowler, K.","Pomiankowski, A."],"authorGivenName":["S.","N.","D.","M.F.","K.","A."],"authorOrcid":["0000-0001-6893-7068","0000-0002-0898-760X","0000-0003-0626-6865","0000-0001-9737-7549","0000-0002-5171-8755"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The raw data contain genotype information for offspring collected from controlled crosses of Teleopsis dalmanni. Parents were taken from laboratory stock populations. Offspring genotypes were assigned by sizing a microsatellite, which distinguishes sex-ratio distorting and nondistorting X chromosomes. Also included is information on offspring sex and food treatment.  The processed data summarises genotype counts by collection date and cage id (date/food treatment/cage). Also included is a fitness calculation for each genotype in each cage. ","documentType":"GEMINI_DOCUMENT","familyName":["Finnegan","White","Koh","Camus","Fowler","Pomiankowski"],"fullName":["Finnegan, S.","White, N.","Koh, D.","Camus, M.F.","Fowler, K.","Pomiankowski, A."],"givenName":["S.","N.","D.","M.F.","K.","A.","Sam"],"identifier":"71529a64-6c1b-4c8f-ae3f-7c4870efd976","incomingCitationCount":0,"keyword":["egg-to-adult viability","meiotic drive","selfish genetic element","sex ratio","sex ratio distorter","sexual selection","stalk-eyed fly","Teleopsis"],"keywordsOther":["egg-to-adult viability","meiotic drive","selfish genetic element","sex ratio","sex ratio distorter","sexual selection","stalk-eyed fly","Teleopsis"],"licence":"Open government licence","lineage":"All data were generated by the authors. All genotyping efforts were run with controls and standards to ensure accuracy. DNA was retained so genotyping could be repeated where necessary.","metadataDate":"2026-07-25T06:51:21.000Z","orcid":["0000-0001-6893-7068","0000-0002-0898-760X","0000-0003-0626-6865","0000-0001-9737-7549","0000-0002-5171-8755"],"organisation":["University College London","University of Sheffield","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-03-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/71529a64-6c1b-4c8f-ae3f-7c4870efd976","10.5285/71529a64-6c1b-4c8f-ae3f-7c4870efd976","doi:10.5285/71529a64-6c1b-4c8f-ae3f-7c4870efd976"],"resourceType":"Non-geographic dataset","ror":["https://ror.org/04xw4m193"],"shortenedDescription":"The raw data contain genotype information for offspring collected from controlled crosses of Teleopsis dalmanni. Parents were taken from laboratory stock populations. Offspring genotypes were assigned by sizing a microsatellite, which distinguishes sex-ratio distorting…","state":"published","title":"Observed offspring meiotic drive genotypes from controlled parental crosses of Teleopsis dalmanni","version":1.0,"view":["public","clwe"]},{"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"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Wildlife Farming Company","Green Lane Ecology"],"authorFamilyName":["Redhead","Nowakowski","Ridding","Wagner","Hulmes","Amy","McDonald","Mitschunas","Nuttall","Peyton","Pywell"],"authorFullName":["Redhead, J.","Nowakowski, M.","Ridding, L.","Wagner, M.","Hulmes, S.","Hulmes, L.","Amy, S.","McDonald, R.","Mitschunas, N.","Nuttall, P.","Peyton, J.","Pywell, R."],"authorGivenName":["J.","M.","L.","S.","R.","N.","P."],"authorOrcid":["0000-0002-2233-3848","0000-0003-3141-8795","0000-0002-2263-304X","0000-0002-8313-6194","0000-0001-6431-9959"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Vegetation data from botanical field survey of trials of selective herbicide impacts on tor-grass (Brachypodium pinnatum s.l.) control at Martin Down NNR, England.  The data relate to 50 cm × 50 cm quadrats placed in herbicide treated and control plots in a replicated experiment, including a baseline (pre-treatment) survey in 2012 and three surveys after repeat treatments in 2013, 2014 and 2015.  Data include percentage cover of plant species, bare ground and plant groups (total grasses, total forbs) as well as data on plant indictor status and Ellenberg N value. The data cover areas of both sparse B .pinnatum cover, with the goal of preventing B. pinnatum from increasing to dominance, and dense B .pinnatum cover, with the goal of reducing B. pinnatum cover to a level which allowed the reestablishment of other calcareous grassland species.  Data have been used to analyse herbicide impacts on the cover of target species B. pinnatum and non-target species groups (other grasses, forbs, positive indicators, negative indicators, arable indicators), as well as community level analyses (Ellenberg-N weighted cover, DCA). ","documentType":"GEMINI_DOCUMENT","familyName":["Redhead","Nowakowski","Ridding","Wagner","Hulmes","Amy","McDonald","Mitschunas","Nuttall","Peyton","Pywell"],"fullName":["Redhead, J.","Nowakowski, M.","Ridding, L.","Wagner, M.","Hulmes, S.","Hulmes, L.","Amy, S.","McDonald, R.","Mitschunas, N.","Nuttall, P.","Peyton, J.","Pywell, R."],"givenName":["J.","M.","L.","S.","R.","N.","P.","John"],"identifier":"43095c2d-b959-4216-8362-0fb18deed1e6","incomingCitationCount":1,"keyword":["Agriculture","Environmental survey","Tor grass","Ellenberg N","Propaquizafop","Cycloxydim","Tepraloxydim","Fluazifop-P-butyl","Propyzamide","glyphosate","Brachypodium pinnatum"],"keywordsOther":["Tor grass","Ellenberg N","Propaquizafop","Cycloxydim","Tepraloxydim","Fluazifop-P-butyl","Propyzamide","glyphosate","Brachypodium pinnatum"],"keywordsTheme":["Agriculture","Environmental survey"],"licence":"Open government licence","lineage":"Trial plots were established at Martin Down (50.975 N, 1.937 W) in summer 2012 on calcareous grassland containing two levels of B. pinnatum cover - ‘dense’ and ‘sparse’. For each level, three experimental blocks were marked out, each consisting of seven plots (each plot =3 m wide x 10 m long).  Within each block, each plot was assigned a different herbicide or management application at random. \n\nFive selective (Propaquizafop, Tepraloxydim, Fluazifop-P-butyl, Cycloxydim, Propyzamide) and one broad-spectrum herbicide (glyphosate) were selected on the basis of their efficacy for controlling perennial grasses in agricultural and/or forestry applications.  All herbicides were applied evenly across the entire plot.The control experimental management in both sparse and dense areas was a single annual cut in late summer (July-August) with a mechanical mower which removed cut material. \n\nVegetation monitoring took place in July-September of 2012 (before all herbicide applications to provide a baseline), 2013, 2014 and 2015.  Within each plot, vegetation surveys were conducted by placing five 50 cm × 50 cm quadrats at approximately 2 m intervals (i.e. vertices of a “W”-shaped transect through the plot).  Quadrats avoided the outermost 50 cm of each plot, where there was an increased potential for spray drift from neighbouring plots.  Within each quadrat, the percentage cover of B. pinnatum, all vascular plants and bare ground were recorded.  In the first, third and fourth quadrat, all plants were recorded to species level, whilst in the second and fifth quadrat percentage cover was recorded per group level only (grasses and forbs), as a result of limited time and funding for survey. For further details please see the supporting documentation. ","locations":["POLYGON((-1.96 50.96, -1.96 50.995, -1.904 50.995, -1.904 50.96, -1.96 50.96))"],"metadataDate":"2026-07-24T21:15:27.000Z","orcid":["0000-0002-2233-3848","0000-0003-3141-8795","0000-0002-2263-304X","0000-0002-8313-6194","0000-0001-6431-9959"],"organisation":["Centre for Ecology & Hydrology","Wildlife Farming Company","Green Lane Ecology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-06-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/43095c2d-b959-4216-8362-0fb18deed1e6","10.5285/43095c2d-b959-4216-8362-0fb18deed1e6","doi:10.5285/43095c2d-b959-4216-8362-0fb18deed1e6"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Vegetation data from botanical field survey of trials of selective herbicide impacts on tor-grass (Brachypodium pinnatum s.l.) control at Martin Down NNR, England.  The data relate to 50 cm × 50 cm quadrats placed in herbicide treated and control plots in a replicated…","state":"published","temporalExtentText":"Data collected from 2012 to 2015","title":"Vegetation survey of Brachypodium pinnatum herbicide control trials at the Martin Down National Nature Reserve (2012-2015)","topic":["0/Agriculture/","0/Environmental survey/"],"version":1.0,"view":["public","clwe"]},{"altTitle":["LTLS","Macronutrients"],"authorAffiliation":["University of Birmingham","University of Bristol"],"authorFamilyName":["Ullah","Sgouridis"],"authorFullName":["Ullah, S.","Sgouridis, F."],"authorGivenName":["S.","F."],"authorRor":["https://ror.org/03angcq70","https://ror.org/0524sp257"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise monthly field measurements of in-situ denitrification rates in different land use types of the Ribble Wyre and Conwy catchments. The data include greenhouse gas emissions (methane, carbon dioxide, nitrous oxide), denitrification data (nitrogen and nitrous oxide) and soil properties data (nitrate, dissolved nitrogen, ammonia, bulk density, carbon to nitrogen ratio, dissolved organic carbon, moisture content, organic matter content, pH, temperature and water filled pore space).\n\nThe research was funded by the UK Natural Environment Research Council (NERC) grant (NE/J011541/1) awarded to Keele University and supported by the NERC Life Sciences Mass Spectrometry Facility Steering Committee.","documentType":"GEMINI_DOCUMENT","familyName":["Ullah","Sgouridis"],"fullName":["Ullah, S.","Sgouridis, F."],"funder":["Natural Environment Research Council"],"givenName":["S.","F.","Fotis"],"grant":["NE/J011541/1"],"identifier":"d970c095-129a-41ac-9c82-950ab7804581","incomingCitationCount":1,"keyword":["Conwy","Ribble Wyre","greenhouse gas","denitrification"],"keywordsOther":["greenhouse gas","denitrification"],"keywordsPlace":["Conwy","Ribble Wyre"],"licence":"Open government licence","lineage":"During gas flux measurements the soil temperature and the volumetric water content at 10 cm depth were recorded next to each chamber using a soil thermometer (Kangaroo Thermistor Thermometer, Cole-Parmer) and a soil moisture probe (Hydrosense II, CS659, Campbell Scientific), respectively. Additionally, the air temperature and barometric pressure were recorded in each study site between the first and second sampling hour using a thermo-hygro-barometer (Comet, C4130, Sequoia Sensors). Five composite soil samples (0-10 cm) were collected with a hand auger from each study site after the end of the gas flux measurements within 50 cm of each plot. The samples were transported to the laboratory on ice and stored at 4 oC overnight. The next day visible stones and roots were removed manually and the soils were homogenized by manual mixing before laboratory analysis. The collars were moved to new random plots within each study site every three months to minimize any effects on greenhouse gas fluxes from repeated tracer application in the same plots. Next to every new plot an intact soil core (50 mm internal diameter, 10 cm long) was collected for the determination of soil bulk density and porosity.","locations":["POLYGON((-4.561 52.641, -4.561 53.924, -1.132 53.924, -1.132 52.641, -4.561 52.641))"],"metadataDate":"2026-09-15T08:39:16.000Z","organisation":["University of Birmingham","University of Bristol","NERC Environmental Information Data Centre","Keele University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-06-28T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d970c095-129a-41ac-9c82-950ab7804581","10.5285/d970c095-129a-41ac-9c82-950ab7804581","doi:10.5285/d970c095-129a-41ac-9c82-950ab7804581"],"resourceType":"Dataset","rightsHolder":["Keele University"],"ror":["https://ror.org/03angcq70","https://ror.org/0524sp257","https://ror.org/04xw4m193","https://ror.org/00340yn33"],"shortenedDescription":"Data comprise monthly field measurements of in-situ denitrification rates in different land use types of the Ribble Wyre and Conwy catchments. The data include greenhouse gas emissions (methane, carbon dioxide, nitrous oxide), denitrification data (nitrogen and nitrous…","state":"published","temporalExtentText":"Data collected from 2013 to 2014","title":"Denitrification and greenhouse gas emissions in natural and semi-natural terrestrial ecosystems [LTLS]","version":1.0,"view":["public","jgar"]},{"authorAffiliation":["University of Glasgow"],"authorFamilyName":["Dominoni","Capilla-Lasheras","Branston"],"authorFullName":["Dominoni, D.M.","Capilla-Lasheras, P.","Branston, C.J."],"authorGivenName":["D.M.","P.","C.J."],"authorOrcid":["0000-0003-2063-9955","0000-0001-6091-7089","0000-0002-4416-0984"],"authorRor":["https://ror.org/00vtgdb53"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information on reproductive events of blue and great tits recorded by manually inspecting approximately 300 to 500 nestboxes annually along a 35 km urban gradient in and around Glasgow, Scotland from 2014 to 2022. The datasets contain annually aggregated values per nestbox on clutch initiation, clutch size, number of hatchlings and fledglings. \nData were collected to investigate the effects of urbanisation on daily activity patterns, reproductive traits and population dynamics of passerine birds.\n","documentType":"GEMINI_DOCUMENT","familyName":["Dominoni","Capilla-Lasheras","Branston"],"fullName":["Dominoni, D.M.","Capilla-Lasheras, P.","Branston, C.J."],"funder":["Natural Environment Research Council"],"givenName":["D.M.","P.","C.J."],"grant":["NE/S005773/1"],"identifier":"bb13cc09-5d6c-4f6a-bda8-de1915fa3cc0","incomingCitationCount":0,"keyword":["urbanisation","nestbox","blue tit","great tit","reproductive success","productivity"],"keywordsOther":["urbanisation","nestbox","blue tit","great tit","reproductive success","productivity"],"licence":"Open government licence","lineage":"We monitored an approximately 35 kilometre urban-non-urban gradient, with the extremes of the gradient being Glasgow city centre and Loch Lomond National Park, Scotland. This gradient has been monitored annually between 2014 and 2022 and has consisted of between five and twenty sites, depending on the year. \nNestboxes were installed at all sites, approximately 50 metres from each other, with the number of nestboxes per site ranging from 5 to 161 dependent on the size of the site and the year of monitoring. During the breeding season (April – June) the nestboxes were monitored weekly through the nest-building and incubation stages. For each nestbox occupied by blue tits and great tits the first egg laying date was either directly observed in the field, or back calculated if the nest was found during egg laying but before incubation commenced, assuming one egg was laid per day. Clutch size was recorded as the maximum number of eggs observed during incubation. Fourteen days after incubation commenced nestboxes were checked every other day until chicks were observed. Thirteen days after hatching, chicks were marked with a unique metal ring. Nests were not checked again until at least 20 days after hatching to prevent premature fledging. At this final check, any dead chicks remaining in the nestbox were recorded and subtracted from the total number of chicks recorded alive 13 days after hatching to give the number of chicks that successfully fledged. \nAt the end of every year data collected during that year was checked and uploaded on a central Access database. This database enables linking between datasets on reproductive attempts and individual bird information (mark-recapture data), both of which are deposited with the EIDC.\n","locations":["POLYGON((-4.609 55.861, -4.609 56.125, -4.251 56.125, -4.251 55.861, -4.609 55.861))"],"metadataDate":"2026-07-25T12:58:48.000Z","orcid":["0000-0003-2063-9955","0000-0001-6091-7089","0000-0002-4416-0984"],"organisation":["University of Glasgow","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-08-06T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/bb13cc09-5d6c-4f6a-bda8-de1915fa3cc0","10.5285/bb13cc09-5d6c-4f6a-bda8-de1915fa3cc0","doi:10.5285/bb13cc09-5d6c-4f6a-bda8-de1915fa3cc0"],"resourceType":"Dataset","rightsHolder":["University of Glasgow"],"ror":["https://ror.org/00vtgdb53","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information on reproductive events of blue and great tits recorded by manually inspecting approximately 300 to 500 nestboxes annually along a 35 km urban gradient in and around Glasgow, Scotland from 2014 to 2022. The datasets contain annually…","state":"published","temporalExtentText":"Data collected from 2014 to 2022","title":"Reproductive life-history data of blue and great tits from nestbox monitoring, Glasgow, UK, 2014-2022","version":1.0,"view":["public","elsdhi"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Robinson","Blyth","Clark","Comyn-Platt","Rudd","Wiggins"],"authorFullName":["Robinson, E.L.","Blyth, E.M.","Clark, D.B.","Comyn-Platt, E.","Rudd, A.C.","Wiggins, M."],"authorGivenName":["E.L.","E.M.","D.B.","E.","A.C.","M."],"authorOrcid":["0000-0002-3746-4517","0000-0002-5052-238X","0000-0003-1348-7922","0000-0001-7821-4998","0000-0001-5996-6115","0000-0002-7395-9381"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"Gridded potential evapotranspiration over Great Britain for the years 1961-2019 at 1 km resolution. This dataset contains two potential evapotranspiration variables calculated using the Penman-Monteith equation parameterised for well-watered short grass: daily total potential evapotranspiration (PET; kg m-2) and daily total potential evapotranspiration with interception correction (PETI; kg m-2).\n\nThe data are provided in gridded netCDF files. There is one file for each variable for each month of the data set.\n\nThis research has been carried out under national capability funding as part of the NERC Hydro-JULES programme (NE/S017380/1) and under the NERC Changing Water Cycle program (NE/I006087/1)","documentType":"GEMINI_DOCUMENT","familyName":["Robinson","Blyth","Clark","Comyn-Platt","Rudd","Wiggins"],"fullName":["Robinson, E.L.","Blyth, E.M.","Clark, D.B.","Comyn-Platt, E.","Rudd, A.C.","Wiggins, M."],"funder":["Natural Environment Research Council"],"givenName":["E.L.","E.M.","D.B.","E.","A.C.","M."],"grant":["NE/S017380/1","NE/I006087/1"],"identifier":"8651771d-aa6d-4d0f-8bcd-b3be1f733852","incomingCitationCount":1,"keyword":["Modelling","Climate and climate change","potential evaporation","potential evapotranspiration ","evaporation ","climate change","climate"],"keywordsOther":["potential evaporation","potential evapotranspiration ","evaporation ","climate change","climate"],"keywordsTheme":["Modelling","Climate and climate change"],"licence":"Non-Open government licence","lineage":"The potential evapotranspiration (PET) is derived from the air temperature, specific humidity, downward long- and shortwave radiation and surface air pressure from the Climate hydrology and ecology research support system Climate hydrology and ecology research support system meteorology dataset (CHESS-met) data set (https://doi.org/10.5285/835a50df-e74f-4bfb-b593-804fd61d5eab) using a version of the Penman-Monteith equation parameterised for Food and Agriculture Organisation (FAO)-defined well-watered grass. The potential evapotranspiration with interception correction (PETI) is derived from all of the above, plus the (CHESS-met) precipitation, which is the Gridded estimates of daily and monthly areal rainfall for the United Kingdom (CEH-GEAR) precipitation (https://doi.org/10.5285/dbf13dd5-90cd-457a-a986-f2f9dd97e93c) scaled to appropriate units. The PETI calculation adds a correction for interception by a well-watered grass on rain days.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-10-13T08:03:43.000Z","orcid":["0000-0002-3746-4517","0000-0002-5052-238X","0000-0003-1348-7922","0000-0001-7821-4998","0000-0001-5996-6115","0000-0002-7395-9381"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-10-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8651771d-aa6d-4d0f-8bcd-b3be1f733852","10.5285/8651771d-aa6d-4d0f-8bcd-b3be1f733852","doi:10.5285/8651771d-aa6d-4d0f-8bcd-b3be1f733852"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Gridded potential evapotranspiration over Great Britain for the years 1961-2019 at 1 km resolution. This dataset contains two potential evapotranspiration variables calculated using the Penman-Monteith equation parameterised for well-watered short grass: daily total…","state":"published","temporalExtentText":"Data collected from 1961 to 2019","title":"Climate hydrology and ecology research support system potential evapotranspiration dataset for Great Britain (1961-2019) [CHESS-PE]","topic":["0/Modelling/","0/Climate and climate change/"],"version":1.0,"view":["public","danor"]},{"altTitle":["ESPA P4GES"],"authorAffiliation":["Laboratoire des Radio Isotopes Université d'Antananarivo"],"authorFamilyName":["Razakamanarivo","Razafimbelo","Andriamananjara","Rianahary","Razafindrakoto","Harinirina"],"authorFullName":["Razakamanarivo, H.D.","Razafimbelo, T.","Andriamananjara, A.","Rianahary, A.","Razafindrakoto, M.","Harinirina, A."],"authorGivenName":["H.D.","T.","A.","M."],"authorOrcid":["0000-0003-3126-8192","0000-0003-2101-9715"],"authorRor":["https://ror.org/02w4gwv87"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise a forest inventory (tree name (local, scientific, genera, family), diameter, height), dendrometric tree characteristics (tree species, weight (branches, leaves, trunk), diameter, height, coordinates, distance, location) and aboveground biomass data (litter and root mat depth, biomass and carbon stock of living vegetation (sapling, tree and understorey), non-living vegetation (litter), lying dead wood and standing dead wood) sampled in the Ankeniheny Zahamena Forest Corridor (remains of the evergreen forest of eastern Madagascar). \n\nLiving vegetation includes woody and herbaceous above soil vegetation including stems, branches, bark, seeds, and foliage (IPCC, 2006). Litter includes all non-living biomass with a size greater than the limit for soil organic matter (suggested 2 mm) and less than the minimum diameter chosen for lying dead wood (e.g. 10 cm) in various states of decomposition above or within the mineral or organic soil (IPCC, 2006). Dead wood includes all non-living woody biomass not contained in the litter, either standing, lying on the ground, or in the soil (IPCC, 2006). Understorey includes herbaceous vegetation in forests and fallows. \nData were collected as part of a project funded under the Ecosystem Services for Poverty Alleviation (ESPA) programme. Work package 4 P4GES project, grant references: NE/K008692/1, NE/K010115/1, and NE/K010220-1","documentType":"GEMINI_DOCUMENT","familyName":["Razakamanarivo","Razafimbelo","Andriamananjara","Rianahary","Razafindrakoto","Harinirina"],"fullName":["Razakamanarivo, H.D.","Razafimbelo, T.","Andriamananjara, A.","Rianahary, A.","Razafindrakoto, M.","Harinirina, A.","Razakamanarivo, H."],"funder":["Natural Environment Research Council"],"givenName":["H.D.","T.","A.","M.","Herintsitohaina"],"grant":["NE/K008692/1"],"identifier":"cbeea40f-8e35-4875-8b49-815e04f0cbd9","incomingCitationCount":0,"keyword":["Madagascar","Ankeniheny Zahamena forest corridor ","CAZ","Eastern humid region","aboveground","leaf litter","root mat","stock","lying dead wood","understorey","tree","biomass","carbon","carbon stock","wood","inventory of forest damage"],"keywordsOther":["aboveground","leaf litter","root mat","stock","lying dead wood","understorey","tree","biomass","carbon","carbon stock","wood","inventory of forest damage"],"keywordsPlace":["Madagascar","Ankeniheny Zahamena forest corridor ","CAZ","Eastern humid region"],"licence":"Open government licence","lineage":"Full materials and methods available from supporting documentation (Manual_1_Classical_survey).\nFor each sampling site, four subplots located in circular area were identified. For the first area of 2 m of radius, sapling (DBH<5cm and H>1.30m) were accounted for each species. Then, 5 different species of saplings chosen randomly were weighed and sampled. For the second circular area of 5 m of radius, local name, DBH and height of trees (living wood and standing dead wood) from 5 to 10 cm of DBH were measured.  For the circular area of 10 m radius, local name, DBH and height of trees with DBH between 10 cm and 20 cm were measured. For the circular plot of 20 m of radius, DBH, height and local name of trees (living wood and standing dead wood) with DBH above 20 cm were recorded\nOnly for standing dead wood, diameters at 0,30m and at the top were recorded in addition to DBH and height. In addition to diameters, the wood density of each stading dead wood is recorded. The wood density is classified as sound (S), intermediate (I) and rotten (R). The values of each class are those applied by Conservation International Madagascar (CI Madagascar).\nLying dead wood was measured on a transect of 100 m passing through the center of the plot. For each lying dead wood intercepting the transect, the diameter at which the rope passes is recorded. In addition to the diameter, the wood density of each lying dead wood is recorded. The wood density is classified as sound (S), intermediate (I) and rotten (R). The values of each class are those applied by Conservation International (CI). \nA direct measurement of above ground biomass was carried out in closed canopy. Indeed, 54 trees from four species were then selected from the forest inventory, on the basis of their relative contribution to tree density (ratio between the number of stems per hectare of the species and total number of stems). Then, in second phase, these trees were felled and weighed after separating trunk, branch and leaves biomass (Picard et al. 2012). The total fresh weight of each component was obtained in the field using electronic balances. After, subsamples were collected from the field for a lab-based humidity analysis. The dendrometric characteristics of these 54 trees were recorded. ","locations":["POLYGON((43.191 -25.608, 43.191 -11.945, 50.483 -11.945, 50.483 -25.608, 43.191 -25.608))"],"metadataDate":"2026-09-15T08:43:51.000Z","orcid":["0000-0003-3126-8192","0000-0003-2101-9715"],"organisation":["Laboratoire des Radio Isotopes Université d'Antananarivo","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-03-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/cbeea40f-8e35-4875-8b49-815e04f0cbd9","10.5285/cbeea40f-8e35-4875-8b49-815e04f0cbd9","doi:10.5285/cbeea40f-8e35-4875-8b49-815e04f0cbd9"],"resourceType":"Dataset","ror":["https://ror.org/02w4gwv87","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise a forest inventory (tree name (local, scientific, genera, family), diameter, height), dendrometric tree characteristics (tree species, weight (branches, leaves, trunk), diameter, height, coordinates, distance, location) and aboveground biomass data (litter…","state":"published","supplementalDescription":["IPCC 2006 Guidelines for National Greenhouse Gas Inventories Volume 4 Agriculture, Forestry and Other Land Use","Picard, N.,  Saint-André, L.,  Henry, M. (2012). Manual for building tree volume and biomass allometric equations from field measurement to prediction","Chave, J., Andalo, C., Brown, S., Cairns, M. A., Chambers, J. Q., Eamus, D., ... Yamakura, T. (2005). Tree allometry and improved estimation of carbon stocks and balance in tropical forests. Oecologia, 145(1), 87-99.","Impact of selective logging on the carbon stocks of tropical forests: Republic of Congo as a case study.  Report submitted to the United States Agency for International Development Cooperative Agreement No. EEM-A-00-03-00006-00 "],"supplementalName":["Laboratory of Radioisotopes, University of Antananarivo","Laboratory of Radioisotopes"],"temporalExtentText":"Data collected from 2013 to 2017","title":"Forest inventory, dendrometric tree characteristics and aboveground biomass data in Ankeniheny Zahamena forest corridor, Madagascar","version":1.0,"view":["public","jgar"]},{"authorAffiliation":["University of Liverpool","The Natural History Museum","The University of Western Australia"],"authorFamilyName":["Griffiths","Ashton","Walker","Hasan","Evans","Eggleton","Parr"],"authorFullName":["Griffiths, H.M.","Ashton, L.A.","Walker, A.E.","Hasan, R.","Evans, T.","Eggleton, P.","Parr, C.L."],"authorGivenName":["H.M.","L.A.","A.E.","R.","T.","P.","C.L."],"authorRor":["https://ror.org/04xs57h96"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This resource comprises a time series dataset of ant and other invertebrate abundance measured fortnightly at bait monitoring cards on an experimental plot in the Maliau Basin Conservation Area, Malaysian Borneo.  The resource includes data regarding the amount of food resource removed from experimental plots when either ants or vertebrates were excluded from the resource. The data were collected to assess the roles that the different groups (ants, invertebrates, vertebrates) play in ecosystem function, and the capacity for functional redundancy within and between these groups.  Data were collected between 2014 and 2016 during a project run by the University of Liverpool, which was part of the NERC Human-modified tropical forest (HMTF) Programme.","documentType":"GEMINI_DOCUMENT","familyName":["Griffiths","Ashton","Walker","Hasan","Evans","Eggleton","Parr"],"fullName":["Griffiths, H.M.","Ashton, L.A.","Walker, A.E.","Hasan, R.","Evans, T.","Eggleton, P.","Parr, C.L.","Griffiths, H."],"funder":["Natural Environment Research Council"],"givenName":["H.M.","L.A.","A.E.","R.","T.","P.","C.L.","Hannah"],"identifier":"5321bc6e-be35-4ed3-9b56-25598d61ac8f","incomingCitationCount":1,"keyword":["Malaysian Borneo","HMTF","Human-modified tropical forest","Animal behaviour","ants","invertebrate"],"keywordsOther":["ants","invertebrate"],"keywordsPlace":["Malaysian Borneo"],"keywordsProject":["HMTF","Human-modified tropical forest"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"Data were collected fortnightly from the experimental field site in Malaysian Borneo as part of a project run by the University of Liverpool.  See supporting documentation for further details. ","locations":["POLYGON((116.954 4.742, 116.954 4.777, 116.998 4.777, 116.998 4.742, 116.954 4.742))"],"metadataDate":"2026-07-24T23:03:53.000Z","organisation":["University of Liverpool","The Natural History Museum","The University of Western Australia","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-06-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5321bc6e-be35-4ed3-9b56-25598d61ac8f","10.5285/5321bc6e-be35-4ed3-9b56-25598d61ac8f","doi:10.5285/5321bc6e-be35-4ed3-9b56-25598d61ac8f"],"resourceType":"Dataset","rightsHolder":["University of Liverpool"],"ror":["https://ror.org/04xs57h96","https://ror.org/04xw4m193"],"shortenedDescription":"This resource comprises a time series dataset of ant and other invertebrate abundance measured fortnightly at bait monitoring cards on an experimental plot in the Maliau Basin Conservation Area, Malaysian Borneo.  The resource includes data regarding the amount of food…","state":"published","temporalExtentText":"Data collected from 2014 to 2017","title":"Invertebrate activity data from an experiment in Malaysian Borneo, 2014-16 [HMTF]","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","clamw"]},{"availability":"Unknown","catalogue":"eidc","description":"The data in the following data sets were all collected as part of the Joint NERC – NSFC funded research programme UK- China Critical Zone Observatory Programme (www.czo.ac.cn). The project name within this programme was called “Using Critical Zone Science to Enhance Soil Fertility and Improve Ecosystem Services for Peri-Urban Agriculture in China”. This research project focused on sustainable intensification of agriculture in highly productive Peri-urban farming areas in China. The field study site has been developed as a Critical Zone Observatory (CZO) located in the Zhangxi catchment (29°44′–29°51′ N, 121°13′–121°20′ E) within Ningbo city, a pilot city of rapid urbanization in the Yangtze delta. The CZO methodology investigated soil and water process and catchment dynamics using high-density, high-frequency multiple observing systems co-located at experimental mesocosm (m-scale) plots nested within larger areas instrumented for field (ha-scale) and whole catchment mass and flux balances. Field studies were run between April 2016 and January 2017. The field studies were augmented by detailed studies of soil processes in laboratory microcosms and by mathematical modelling of soil processes at plot scale.","documentType":"GEMINI_DOCUMENT","familyName":["Dennis"],"fullName":["Dennis, S."],"givenName":["Sarah"],"identifier":"b6a19a8c-7dfa-4a12-a4e6-7a56f12b9a77","incomingCitationCount":0,"licence":"Non-Open government licence","metadataDate":"2026-07-25T12:55:57.000Z","organisation":["NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-09-23T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b6a19a8c-7dfa-4a12-a4e6-7a56f12b9a77"],"resourceType":"Aggregation","ror":["https://ror.org/04xw4m193"],"shortenedDescription":"The data in the following data sets were all collected as part of the Joint NERC – NSFC funded research programme UK- China Critical Zone Observatory Programme (www.czo.ac.cn). The project name within this programme was called “Using Critical Zone Science to Enhance…","state":"published","supplementalDescription":["UK- China Critical Zone Observatory Programme"],"title":"Data from Soil Analysis of Ningbo Watershed, China – Field, Laboratory and Modelling","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Lancaster University","Universidade Estadual Paulista","Unaffiliated"],"authorFamilyName":["Berenguer","Rossi","Seixas","Barlow"],"authorFullName":["Berenguer, E.","Rossi, L.C.","Seixas, M.M.M.","Barlow, J."],"authorGivenName":["E.","L. C.","M.M.M.","J."],"authorOrcid":["0000-0001-8157-8792"],"authorRor":["https://ror.org/04f2nsd36"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset includes measurements of stem radial growth in 20 plots (250 x 10 m each) in the Brazilian Amazon. Study plots were distributed across a gradient of forest disturbance, including: undisturbed primary forests , logged primary forests, logged-and-burned primary forests, and secondary forests. Data were collected from December 2014 until October 2018. In December 2015, during the El Niño-mediated drought, eight of our study plots were affected by understory fires.","documentType":"GEMINI_DOCUMENT","familyName":["Berenguer","Rossi","Seixas","Barlow"],"fullName":["Berenguer, E.","Rossi, L.C.","Seixas, M.M.M.","Barlow, J."],"funder":["Natural Environment Research Council"],"givenName":["E.","L. C.","M.M.M.","J."],"identifier":"c8bc6982-d4de-4e6f-aadb-08aac877b263","incomingCitationCount":0,"keyword":["Brazilian Amazon","Radial growth of stems","forest fire","forest ecology"],"keywordsOther":["Radial growth of stems","forest fire","forest ecology"],"keywordsPlace":["Brazilian Amazon"],"licence":"Open government licence","lineage":"We measured stem radial growth in 20 study plots (0.25ha) distributed along a gradient of forest disturbance in Eastern Amazonia: undisturbed primary forests (n = 5), logged primary forests (n = 5), logged-and-burned primary forests (n = 5), and secondary forests (n = 5). Forest disturbance classes were based on both an analysis of canopy disturbance in a chronosequence of satellite images (1988 to 2010) and on field assessments of fire scars, charcoal, and logging debris.  \n\nIn each of the 20 plots, trees and palms were stratified in five DBH size classes: 10-19.99 cm, 20-29.99 cm, 30-39.99 cm, 40-49.99, and ≥50 cm. At least 50 dendrometer bands were installed in each plot and caution was taken to install dendrometers evenly amongst the size classes (10 in each size class). If a study plot did not have 10 trees in a given class, we distributed the remaining dendrometer bands evenly between the other DBH size classes. We also installed dendrometer bands in all lianas ≥10 cm DBH present in the study plots. Dendrometer bands were installed 10 cm above the DBH point of measure. Radial growth was measured every month.\n","locations":["POLYGON((-55.01 -3.33, -55.01 -2.57, -54.5 -2.57, -54.5 -3.33, -55.01 -3.33))"],"metadataDate":"2026-07-25T14:03:25.000Z","orcid":["0000-0001-8157-8792"],"organisation":["Lancaster University","Universidade Estadual Paulista","Unaffiliated","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-02-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c8bc6982-d4de-4e6f-aadb-08aac877b263","10.5285/c8bc6982-d4de-4e6f-aadb-08aac877b263","doi:10.5285/c8bc6982-d4de-4e6f-aadb-08aac877b263"],"resourceType":"Dataset","ror":["https://ror.org/04f2nsd36","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes measurements of stem radial growth in 20 plots (250 x 10 m each) in the Brazilian Amazon. Study plots were distributed across a gradient of forest disturbance, including: undisturbed primary forests , logged primary forests, logged-and-burned primary…","state":"published","temporalExtentText":"Data collected from 2014 to 2018","title":"Radial stem growth of stems in human-modified forests of Eastern Amazonia","version":1.0,"view":["public","phtr"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Hewitt"],"authorFullName":["Hewitt, D."],"authorGivenName":["D."],"authorOrcid":["0000-0001-8297-0294"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data includes impacts on root nodule biomass, stomatal conductance, injury rates, and N-fixation in the white clover cultivar (T. repens cv. crusader). An ozone-exposure experiment was conducted in solardomes during the spring and summer of year 2012 on modern clover (Trifolium spp.) cultivars. The effects of ozone pollution (30, 35, 40, 45, 52, 67 parts per billion (ppb) treatment means) on the growth and functioning of the clover cultivars was investigated. Both cultivars had positive increases in ozone-injury rates, although stomatal conductance was unaffected by ozone exposure. Reductions in root nodule biomass and nodule number occurred in white clover, and red clover displayed an increase in nodule density. Nitrogen fixation rates were suppressed in white clover, which could have important implications for the sustainability of managed pasture. The work was carried out as part of a NERC funded PhD. Project number NEC04456. ","documentType":"GEMINI_DOCUMENT","familyName":["Hewitt","Mills"],"fullName":["Hewitt, D.","Mills, G."],"givenName":["D.","G."],"identifier":"b63fbb6c-5030-43a1-b0ea-160bb5a83078","incomingCitationCount":0,"keyword":["Abergwyngregyn","Environmental risk","Pollution","Solar Dome","Soladome","Cultivar","Seedlings","ozone","nitrogen fixation"],"keywordsOther":["Solar Dome","Soladome","Cultivar","Seedlings","ozone","nitrogen fixation"],"keywordsPlace":["Abergwyngregyn"],"keywordsTheme":["Environmental risk","Pollution"],"licence":"Open government licence","lineage":"White clover (Trifolium repens cv. Crusader) and red clover (Trifolium pratense cv. Merviot) were exposed to elevated ozone (mean concentrations 30, 35, 40, 45, 52, 67 parts per billion (ppb)) in solardomes for a period of 12 weeks in the early summer of year 2012. Data was first recorded in the field in field notebooks, and was then transferred to electronic copies (MS Excel worksheets). Data was then exported as .csv files for ingestion into the Environmental Information Data Centre.","locations":["POLYGON((-4.018 53.237, -4.018 53.239, -4.016 53.239, -4.016 53.237, -4.018 53.237))"],"metadataDate":"2026-09-15T08:36:34.000Z","orcid":["0000-0001-8297-0294"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-04-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b63fbb6c-5030-43a1-b0ea-160bb5a83078","10.5285/b63fbb6c-5030-43a1-b0ea-160bb5a83078","doi:10.5285/b63fbb6c-5030-43a1-b0ea-160bb5a83078"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Data includes impacts on root nodule biomass, stomatal conductance, injury rates, and N-fixation in the white clover cultivar (T. repens cv. crusader). An ozone-exposure experiment was conducted in solardomes during the spring and summer of year 2012 on modern clover…","state":"published","temporalExtentText":"Data collected from 2012 to 2012","title":"Effect of ozone on modern clover cultivars","topic":["0/Environmental risk/","0/Pollution/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Taylor"],"authorFullName":["Taylor, P.J."],"authorGivenName":["P.J."],"authorOrcid":["0000-0003-1663-9426"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["GeoPackage"],"description":"The dataset is the lake polygons from the UK Lakes Portal (https://uklakes.ceh.ac.uk/), originally based on OS PANORAMA but this dataset includes data from a number of sources. It has a basic set of attributes including the water body ID (WBID) as well as the computed area and perimeter of each lake. The WBID is commonly used across research institutions and is the same ID as used on the UK Lakes Portal, where more information can be found on each lake in this dataset. This is v3.6, which follows the same versioning as the underlying database. Although the database has seen the majority of the changes since version 1, the polygons have also been changed and improved over that time, mostly fixing issues with lake outlines, but also some new sites being added.","documentType":"GEMINI_DOCUMENT","familyName":["Taylor"],"fullName":["Taylor, P.J."],"givenName":["P.J."],"identifier":"b6b92ce3-dcd7-4f0b-8e43-e937ddf1d4eb","incomingCitationCount":1,"keyword":["Mapping","Hydrology","Land cover","Lakes","lake polygons","waterbodies","loch","llyn","lough","standing waters","freshwater"],"keywordsOther":["Lakes","lake polygons","waterbodies","loch","llyn","lough","standing waters","freshwater"],"keywordsTheme":["Mapping","Hydrology","Land cover"],"licence":"Open government licence","lineage":"The development of the database was jointly funded by the Environment Agency, Natural England, Countryside Council for Wales (now Natural Resources Wales), and the Scotland and Northern Ireland Forum for Environmental Research (SNIFFER).\n\nLake polygon geometry in Northern Ireland is based upon Crown Copyright and is reproduced with the permission of Land & Property Services under delegated authority from the Controller of Her Majesty's Stationery Office, Crown copyright and database rights, EMOU206.2. Northern Ireland Environment Agency Copyright 2015.\n\nLake polygon geometry in Great Britain is mostly based on Ordnance Survey data and contains public sector information licensed under the Open Government Licence v3.0.\n\nThis is version 3.6 of the dataset, with the versioning being aligned with the ongoing development of the underlying UK lakes database: https://uklakes.ceh.ac.uk/.\n\nThis is the first published version in a datacentre, with all changes to polygon outlines from version 1 being represented here.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T12:56:03.000Z","orcid":["0000-0003-1663-9426"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","Ordnance Survey"],"publicationDate":"2021-11-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b6b92ce3-dcd7-4f0b-8e43-e937ddf1d4eb","10.5285/b6b92ce3-dcd7-4f0b-8e43-e937ddf1d4eb","doi:10.5285/b6b92ce3-dcd7-4f0b-8e43-e937ddf1d4eb"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Ordnance Survey"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset is the lake polygons from the UK Lakes Portal (https://uklakes.ceh.ac.uk/), originally based on OS PANORAMA but this dataset includes data from a number of sources. 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The site uses the same identifier (WBID) as this dataset."],"supplementalName":["UK Lakes Portal "],"title":"Spatial inventory of UK waterbodies","topic":["0/Mapping/","0/Hydrology/","0/Land cover/"],"version":3.6,"view":["public","crimar"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Lebron","Seaton","Barrett","Alison","Burden","Emmett","Garbutt","Robinson","Williams","Wood"],"authorFullName":["Lebron, I.","Seaton, F.","Barrett, G.","Alison, J.","Burden, A.","Emmett, B.A.","Garbutt, A.","Robinson, D.A.","Williams, B.","Wood, C.M."],"authorGivenName":["I.","F.","G.","J. ","A.","B.A.","David A.","B.","C.M."],"authorOrcid":["0000-0001-8610-9717","0000-0002-2022-7451","0000-0002-7694-1638","0000-0002-2713-4389","0000-0002-9145-9786","0000-0001-7290-4867","0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data set consists of Particle Size Distribution (PSD) measurements, analysed in a sub set of soil samples with a loss on ignition lower than 50%, taken from within a range of land use types across Wales, collected as part of the Glastir Monitoring and Evaluation Programme (GMEP).  Laser granulometry was used to measure the PSD.  The monitoring programme was set up by the Welsh Government in 2013 to monitor the effects of the Glastir agri-environment scheme on the environment and ran from 2013 to 2016.  The field survey element was based on a stratified random sampling design of 300, 1km square sites across Wales, and was managed by the UK Centre for Ecology & Hydrology.","documentType":"GEMINI_DOCUMENT","familyName":["Lebron","Seaton","Barrett","Alison","Burden","Emmett","Garbutt","Robinson","Williams","Wood"],"fullName":["Lebron, I.","Seaton, F.","Barrett, G.","Alison, J.","Burden, A.","Emmett, B.A.","Garbutt, A.","Robinson, D.A.","Williams, B.","Wood, C.M."],"funder":["Natural Environment Research Council"],"givenName":["I.","F.","G.","J. ","A.","B.A.","David A.","B.","C.M."],"identifier":"d6c3cc3c-a7b7-48b2-9e61-d07454639656","incomingCitationCount":3,"keyword":["Wales","Glastir Monitoring and Evaluation Programme (GMEP)","Soil"],"keywordsPlace":["Wales"],"keywordsProject":["Glastir Monitoring and Evaluation Programme (GMEP)"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"Within each of 300 x 1km sample squares, a set of soil samples were taken from five pre-determined randomly dispersed locations (where practically possible). The soil sample analysed for soil metrics was taken using a black plastic core ('C-core'), 15cm long, from a location co-incident with vegetation surveys.\n\nAfter collection, the soil cores were refrigerated and stored until posted, usually within a couple of days, to laboratories at the UK Centre for Ecology & Hydrology (UKCEH), Bangor. Analysed data were transferred to secure databases at UKCEH following sample analysis.\n\nTo ensure confidentiality of the data with respect to land owners and managers, the locations of 1km squares and survey sites were converted to the centres of the containing 10km Ordnance Survey grid squares.","locations":["POLYGON((-5.473 51.375, -5.473 53.434, -2.654 53.434, -2.654 51.375, -5.473 51.375))"],"metadataDate":"2026-09-15T08:36:34.000Z","orcid":["0000-0001-8610-9717","0000-0002-2022-7451","0000-0002-7694-1638","0000-0002-2713-4389","0000-0002-9145-9786","0000-0001-7290-4867","0000-0002-0394-2998"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-04-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d6c3cc3c-a7b7-48b2-9e61-d07454639656","10.5285/d6c3cc3c-a7b7-48b2-9e61-d07454639656","doi:10.5285/d6c3cc3c-a7b7-48b2-9e61-d07454639656"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This data set consists of Particle Size Distribution (PSD) measurements, analysed in a sub set of soil samples with a loss on ignition lower than 50%, taken from within a range of land use types across Wales, collected as part of the Glastir Monitoring and Evaluation…","state":"published","supplementalDescription":["Website for the Glastir Monitoring and Evaluation Project (GMEP)\n","Website for the Environment & Rural Affairs Monitoring and Modelling Programme (ERAMMP). Follow-up project to GMEP","Website for closely related project"],"supplementalName":["GMEP website","ERAMMP website","Countryside Survey website"],"temporalExtentText":"Data collected from 2013 to 2016","title":"Topsoil particle size distribution from the Glastir Monitoring and Evaluation Programme, Wales 2013-2016","topic":["0/Soil/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["ICIMOD","Newcastle University","Loughborough University"],"authorFamilyName":["Maharjan","Joshi","Peppa","Xiao","Liang"],"authorFullName":["Maharjan, S.B.","Joshi, S.","Peppa, M.V.","Xiao, W.","Liang, Q."],"authorGivenName":["S.B.","S.","M.V.","W.","Q."],"authorRor":["https://ror.org/024brep87","https://ror.org/01kj2bm70","https://ror.org/04vg4w365"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","Shapefile","TIFF"],"description":"3D digital elevation models of Tsho Rolpa glacier lake, Nepal, generated from unmanned aerial vehicle (UAV) imagery, with a spatial resolution of 10 centimetres. It is combined with bathymetry data so that both the lakebed elevation (DTM) and the lake surface elevation (DSM) are obtained.","documentType":"GEMINI_DOCUMENT","familyName":["Maharjan","Joshi","Peppa","Xiao","Liang"],"fullName":["Maharjan, S.B.","Joshi, S.","Peppa, M.V.","Xiao, W.","Liang, Q."],"funder":["Natural Environment Research Council"],"givenName":["S.B.","S.","M.V.","W.","Q."],"grant":["NE/S005919/1"],"identifier":"8e483692-3b65-41d2-a7fd-5a3cd589a71c","incomingCitationCount":1,"keyword":["Nepal","Tsho Rolpa","Mapping","bathymetry"],"keywordsOther":["bathymetry"],"keywordsPlace":["Nepal","Tsho Rolpa"],"keywordsTheme":["Mapping"],"licence":"Open government licence","lineage":"448 images were captured from a fixed-wing UAV producing topographic maps of Tsho Rolpa lake. Boat-mounted ultra-sonic altimetry data were collected to measure the lake bed topography.","locations":["POLYGON((86.461 27.847, 86.461 27.876, 86.492 27.876, 86.492 27.847, 86.461 27.847))"],"metadataDate":"2026-09-15T08:36:56.000Z","organisation":["ICIMOD","Newcastle University","Loughborough University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-07-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8e483692-3b65-41d2-a7fd-5a3cd589a71c","10.5285/8e483692-3b65-41d2-a7fd-5a3cd589a71c","doi:10.5285/8e483692-3b65-41d2-a7fd-5a3cd589a71c"],"resourceType":"Dataset","rightsHolder":["Loughborough University"],"ror":["https://ror.org/024brep87","https://ror.org/01kj2bm70","https://ror.org/04vg4w365","https://ror.org/04xw4m193"],"shortenedDescription":"3D digital elevation models of Tsho Rolpa glacier lake, Nepal, generated from unmanned aerial vehicle (UAV) imagery, with a spatial resolution of 10 centimetres. It is combined with bathymetry data so that both the lakebed elevation (DTM) and the lake surface elevation…","state":"published","temporalExtentText":"Data collected from 2019 to 2019","title":"Digital elevation models and bathymetry data of Tsho Rolpa glacier lake, Nepal, 2019","topic":["0/Mapping/"],"version":1.0,"view":["public","matnic"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/eidc/documents"}