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100 urn:ogc:def:uom:EPSG::9001

98 record(s)

 

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From 1 - 10 / 98
  • The data comprise a long-term study of alpine plant community dynamics in the Gunnison National Forest of Colorado. The data comprise annual census data for all plants (including seedlings) in each of 50 2x2m plots, including information on size, reproduction, life stage, and mortality, with all plants identified and geo-located. These data are also made available transformed to provide individual-level estimates of growth, survival, fecundity, and recruitment. The dataset covers several thousand individuals of approximately twenty species, and highlights an apparent pattern of demographic decline. The data also include information on microenvironment / microedaphic variation at 2 m resolution covering the entire research site, including information on temperatures, topography, soil chemistry, soil texture, and other variables. The data also include information on the functional traits of many of the species present at the site, including information on biomass allocation, leaf traits, root traits, seed traits, and floral traits. Full details about this dataset can be found at https://doi.org/10.5285/d850fcd2-b70a-415e-acf4-fc27b38d59c1

  • This dataset reports results on seedling growth and survival for two hyphal exclusion experiments in a subtropical forest. The data include survival status, height, total biomass and the biomass of component plant parts, percentage root colonisation by mycorrhizas, for tree seedlings of ten common species including five ectomycorrhizal (ECM) and five arbuscular mycorrhizal (AM) species, which were transplanted in the in-growth cores with windows covering different sizes of nylon meshes (35 vs. 0.5 µm). The dataset provides raw data on growth and survival metrics for each seedling, plus identifying codes for the dominant sites where the experiments were conducted, as well as experimental block, mesh treatment, botanical names for the tree species, and mycorrhizal type. The data were entered into Excel spreadsheets and exported as comma separated value files (csv). Study area - the Heishiding Nature Reserve (111°53’E, 23°27’N, 150-927 m a.s.l.) in Guangdong Province of south China. Full details about this dataset can be found at https://doi.org/10.5285/f1d17e61-bb6c-47a9-a648-062c63ea7f16

  • The dataset contains top-of-canopy height before and after the 2015-15 El Niño Southern Oscillation (ENSO) event across a human-modified tropical landscape in Malaysian Borneo. The derived changes in top-of-canopy height from 36,655 repeated measurements were investigated. Data were obtained from airborne LiDAR in November 2014 and April 2016. Topographic Position Index and distance from oil palm plantations are also included to investigate the effects of topography and fragmentation on the canopy height change during the ENSO event. Each observation (pixel) contains the coordinates to assess the spatial effects on canopy changes. Full details about this dataset can be found at https://doi.org/10.5285/534838c8-0e1f-4a04-a837-2e19a4e93797

  • Data from a field-based investigation into the spatio-temporal variability of abiotic and biotic controls on peatland carbon cycling. Data was collected between February 2011 and April 2013, across an area of blanket bog peatland at Black Law Wind Farm, Lanarkshire, Scotland. Plant-soil properties data includes total carbon content, total nitrogen content and carbon to nitrogen ratio of vegetation, litter and peat, carbon and nitrogen stock for litter and peat, bulk density, soil moisture content, pH and soil microbial community composition of peat (Phospholipid Fatty Acids). Peatland carbon cycling data includes measures of litter decomposition, dissolved organic carbon concentration, methane fluxes, net ecosystem exchange, photosynthesis and ecosystem respiration. Physical parameters measured includes below ground temperature from April 2011 to June 2012 and soil moisture content from May 2011 to April 2013. Full details about this dataset can be found at https://doi.org/10.5285/99416ba1-b670-4a82-8225-9644293fb4de

  • Data comprise elemental and radionuclide concentrations in freeze-dried Mediterranean plants, seeds and oven dried soil. The samples were collected in June 2014 along a transect located in the Monfragüe National Park which is within the province of Cáceres, western Spain (start: N 33° 49' 47.2'', W 006° 01' 55.4'', end: N 390 49'46.8'', W 0060 02' 05.1'' (geocentric World Geodetic System 1984 (GPS WG 884)). Thirty plant species (Agrostis pourretii; Campanula rapunculus; Taraxacum sp.; Taraxacum officinale; Rumex scutatus; Hypericum perforatum; Schoenoplectus pungens; Erica umbellata; Phillyrea angustifolia; Myrtus communis; Cytisus sp.; Vitis vinifera subsp. Sylvestris; Crataegus monogyna; Daphne gnidium; Quercus ilex; Ruscus aculeatus; Olea europaea subsp. Europaea; Hordeum murinum; Pistacia terebinthus; Acer monspessulanum; Ficus carica; Cistus ladanifer; Eryngium campestre; Carlina vulgaris; Asparagus acutifolius; Viburnum tinus; Tamarix gallica; Jasminum fruticans; Rubia peregrine; Trifolium campestre) and three soil samples were collected and analysed by ICPMS (Inductively Coupled Plasma Mass Spectrometry) or ICPOES (Inductively Coupled Plasma Optical Emission Spectroscopy) to determine their elemental concentrations. Seeds from six of the plant species were also collected and analysed. Plant samples of sufficient mass (n=16) and the three soil samples were also analysed for selected gamma emitting radionuclides (Be-7, Cs-137 and K-40). The work described here was conducted under both the COMET framework (Fission-2012-3.4.1-604794) (http://www.comet-radioecology.org/) and the TREE project (http://tree.ceh.ac.uk/) funded by the Natural Environment Research Council, Environment Agency and Radioactive Waste Management Ltd. It was also supported by the Centre for Ecology & Hydrology which is part of the Natural Environment Research Council of the UK. Full details about this dataset can be found at https://doi.org/10.5285/05d3cbff-fa40-4c42-84e6-54ce6e7bbf5f

  • [THIS DATASET HAS BEEN WITHDRAWN]. Meteorology data from the UK Environmental Change Network (ECN) terrestrial sites. Variables measured include albedo (ground and sky), temperature (dry bulb, wet bulb and soil (at 10cm and 30cm)), relative humidity, radiation (net. and solar), rainfall, surface wetness, soil moisture, wind direction and wind speed). These data are collected by Automatic Weather Stations at all of ECN's terrestrial sites using a standard protocol. They represent continuous hourly records from 1992 to 2012. ECN is the UK's long-term environmental monitoring programme. It is a multi-agency programme sponsored by a consortium of fourteen government departments and agencies. These organisations contribute to the programme through funding either site monitoring and/or network co-ordination activities. These organisations are: Agri-Food and Biosciences Institute, Biotechnology and Biological Sciences Research Council, Cyfoeth Naturiol Cymru - Natural Resources Wales, Defence Science & Technology Laboratory, Department for Environment, Food and Rural Affairs, Environment Agency, Forestry Commission, Llywodraeth Cymru - Welsh Government, Natural England, Natural Environment Research Council, Northern Ireland Environment Agency, Scottish Environment Protection Agency, Scottish Government and Scottish Natural Heritage. Full details about this dataset can be found at https://doi.org/10.5285/e1d33b37-f1d4-4234-a0d5-8bf4e657f653

  • [This dataset is embargoed until April 30, 2021]. The dataset consists of plant species data from a range of upland vegetation types. The study sites are situated within the Moor House National Nature Reserve in the North Pennines, UK. The area is grazed by free-ranging sheep and paired plots of grazed and ungrazed vegetation were set up at nine locations between 1953 and 1972. These plots have been monitored using the same (pin frame) methods at irregular intervals between their establishment and 2016. Within each plot fixed transect and frame positions are used. The data includes structural and frequency data for vascular plants and presence/absence data for bryophytes and lichens. The plots were set up and are currently maintained by Natural England (NE) and its predecessor bodies and since 1982 they have been monitored by the Environmental Change Network (ECN) through the UK Centre for Ecology and Hydrology (UKCEH). Full details about this dataset can be found at https://doi.org/10.5285/c72ab043-1b02-42c9-94e8-c1cae42b3dc8

  • This dataset contains data from a soil survey at Moor House, Cumbria, UK undertaken by Mike Hornung in 1965 as part of his PhD. It contains information about the soil horizons, chemical analyses and soil mineralogy. Full details about this dataset can be found at https://doi.org/10.5285/e4cf73b0-eef6-4118-a018-40eb374f5de7

  • This is a dataset obtained from analysis of lake sediment and overlying water from six sites along a depth gradient, in Loch Leven, Scotland, over a period of one year. Parameters measured from the water and included in the dataset are dissolved oxygen concentration, conductivity, pH, temperature, concentrations of three forms of phosphorus, and ammonium and silica concentrations. Chlorophyll a concentration measured from the sediment surface is included, and within the sediment concentrations of seven different forms of phosphorus are provided. Full details about this dataset can be found at https://doi.org/10.5285/76a2bd9a-fb02-4f37-91b9-4835eb31ab7b

  • Data comprise concentrations of elements in ashed fish sampled from lakes in the English Lake District in 2012 and 2013. Fish were collected from three lakes (Windermere, Bassenthwaite Lake and Derwent Water) by the Centre for Ecology & Hydrology (CEH) Lake Ecosystems group. Fish species collected were Roach (Rutilus rutilus), Perch (Perca fluviatilis), Ruffe (Gymnocephalus cernuus), Brown trout (Salmo trutta), Pike (Esox lucius) and Vendace (Coregonus albula). All samples were ashed prior to analysis by ICPMS or ICPOES to determine elemental concentrations. Full details about this dataset can be found at https://doi.org/10.5285/ed90df1b-462c-46bb-afbd-59794fb03f6b