nonCciKeyword

Soil

225 record(s)

 

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From 1 - 10 / 225
  • [This dataset is embargoed until March 3, 2022]. This dataset contains time series observations of surface-atmosphere exchanges of net ecosystem carbon dioxide exchange (NEE), sensible heat (H) and latent heat (LE), and momentum (τ) for a managed lowland deep peat soil in the East Anglian Fens, England, UK. The site is managed for the production of horticultural salad crops. Measurements were made between the 22nd June 2012 and 1st January 2020 during which lettuce, leek, celery, sugar beet and potatoes crops were grown on the field. Turbulent flux densities were monitored using the micrometeorological eddy covariance (EC) technique. The dataset includes ancillary weather and soil physics observations, as well as variables describing atmospheric turbulence and the quality of the turbulent flux observations. Full details about this dataset can be found at https://doi.org/10.5285/13896773-01e5-48e6-bfab-c319de46b221

  • This dataset was generated from a laboratory experiment investigating the toxicity of Cerium oxide nanoparticles and non-nanoparticles to the earthworm Eisenia fetida. The toxicity test procedure followed the OECD guideline 222 (earthworm reproduction test (Eisenia fetida/andrei)). Exposure concentrations for both nano and non-nano Cerium oxide particulate forms and the cerium salt materials were 41, 102, 256, 640, 1600, 4000, 10000 mg Ce per kg (Dry Weight soil). Each replicate container held 500 g soil with ten worms. There were three replicate containers per treatment concentration. All exposures were run concurrently and hence effect could be benchmarked against a universal control treatment for the experiment. This comprised of ten separate replicates of Lufa 2.2 soil without amendment of any form of Cerium. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/87659913-c552-449f-bd00-c101ef90b300

  • This dataset consists of soil physico-chemical properties (pH, loss on ignition, bulk density, moisture content, carbon stock and concentration, total nitrogen, Olsen phosphorus) from soils sampled from up to 591 1km squares across Great Britain in 2007. The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. 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 by the Centre for Ecology & Hydrology, 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 soil data, habitat areas, vegetation species data, linear habitat data, and freshwater habitat data are also gathered by Countryside Survey. Please note: the use of Olsen P data, particularly in relation to acidic soils, is controversial. Please ensure these data are suitable for your requirements and exercise caution in their use. Full details about this dataset can be found at https://doi.org/10.5285/79669141-cde5-49f0-b24d-f3c6a1a52db8

  • [This dataset is embargoed until July 1, 2021]. This data set contains nematode community data for soil samples collected from two different land uses (farmland and forest) in the Peri urban area of Ningbo China. Samples were collected seasonally between April 2017 and January 2018. Nematodes were removed from soil using density centrifugation, DNA extractions were then carried out on these extracted nematodes and directed TRFLP was used to obtain a measure of nematode community structure. Data are relative fluorescence for each TRFLP peak and have been Hellinger transformed. Full details about this dataset can be found at https://doi.org/10.5285/8ae9c761-3cf9-4709-8632-c4051a244825

  • This dataset was generated from a laboratory experiment investigating the toxicity of Zinc oxide nanoparticles and non-nanoparticles to the earthworm Eisenia andrei. The experiment followed the OECD protocol 222 OECD guideline for testing of chemicals Earthworm reproduction test (Eisenia fetida/andrei) 2004. Earthworms, Eisenia andrei, were exposed to Zinc oxide particles and nanoparticles, as well as an ionic reference, Zinc chloride, in soil for 28 days after which survival, reproduction and weight change were measured to assess the toxicity of the different zinc compounds. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/47644e3d-3abf-4fa2-9b82-991031f18b0b

  • This dataset contains time series observations of surface-atmosphere exchanges of net ecosystem carbon dioxide exchange (NEE), sensible heat (H) and latent heat (LE), and momentum (τ) measured at a field of winter wheat in Lincolnshire, UK during the 2012 growing season. Turbulent flux densities were monitored using the micrometeorological eddy covariance (EC) technique between 5th April 2012 and 8th August 2012. The dataset includes ancillary weather and soil physics observations, as well as variables describing atmospheric turbulence and the quality of the turbulent flux observations. Full details about this dataset can be found at https://doi.org/10.5285/c00ac145-6a55-4698-a6ed-13c95d178c96

  • The dataset collates the relative concentration of nearly 300 antimicrobial resistance (AMR) genes found in soil locations across Scotland. Soils were obtained from the National Soils Inventory of Scotland (NSIS2), from which the total community DNA were extracted and provided to assess AMR gene content. Sampling of the NSIS2 was conducted between 2007-2010 at 183 soil locations representing intersections of a 20km grid across all of Scotland. For each sample, nearly 300 AMR genes were assessed representing major antibiotic classes, and included many resistance traits: aminoglycosides, beta-lactams, FCA (fluoroquinolone, quinolone, chloramphenicol, florfenicol and amphenicol resistance genes), MLSB (macrolide, lincosamide, streptogramin B), tetracycline, vancomycin, sulphonamide, efflux pumps and integron genes. The data represent relative gene abundance, i.e., the amount of genes per “total bacteria.” Full details about this dataset can be found at https://doi.org/10.5285/d3498e93-4ac5-4eab-bc1a-eb2328771d24

  • Data comprise soil organic carbon (SOC) content from soil simulations in a small agricultural catchment (Sunjia) which is part of the Critical Zone Observatory (CZO) in southeast China (Jianxi province). The simulations were performed using the ECOSSE model (a pool-based carbon and nitrogen turnover model) and soil and climate input data were provided by the research farm at the soil science department of the Chinese Academy of Sciences. Simulations were conducted in 2018. Full details about this dataset can be found at https://doi.org/10.5285/f8955c65-0103-4a26-9078-f34ec6a28676

  • Data comprise bulk density, loss on ignition, carbon content of peat, nitrogen content of peat, total phosphorus content of peat, soil 13 carbon content and soil 14 carbon content from samples collected during a peat survey in England, Scotland and Wales during 2014. The study was funded by the UK Natural Environment Research Council under the Macronutrient Cycling Research Programme, as part of the Long-Term, Large-Scale (LTLS) project (Grant no. NE/J011533/1). Full details about this dataset can be found at https://doi.org/10.5285/9305b068-f417-4659-9966-d9456f22c331

  • This dataset consists of metal concentrations measured from soils sampled across Great Britain in 1998. The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. 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 by the Centre for Ecology & Hydrology, 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 soil data, habitat areas, vegetation species data, linear habitat data, and freshwater habitat data are also gathered by Countryside Survey. Full details about this dataset can be found at https://doi.org/10.5285/def15f47-6aba-43db-a833-5844628a658b