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626 results for “Methanation”
Dataset article "Methane emissions may counteract the carbon fixation capacity for climate change mitigation by Mediterranean inland freshwater shallow lakes and ponds"
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Data from: Cellulolytic Fungi from Sewage Sludge and Their Potential to Improve Methane Fermentation
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Chapter 3. Contrasting methane, sulfide, and nitrogen loading regimes in bioreactors shape microbial communities originating from methane-rich coastal sediment of the Stockholm Archipelago
<p>Supplementary Tables 1 to 7.</p> <p> </p>
Effects of alternate wetting and drying irrigation on methane and nitrous oxide emissions from rice fields
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High-resulution satellite reveals the methane emissions from China's coal mines
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Chemical Looping Partial Oxidation of Methane: Reducing Carbon Deposition through Alloying
<p>Data that was used to generate Figures 1 and 2.</p>
Combined Partial Oxidation of Methane to Synthesis Gas and Production of Hydrogen or Carbon Monoxide in a Fluidized Bed using Lattice Oxygen
<p>Data that was used to produce the figures in the paper.</p>
Extraction, purification, and clumped isotope analysis of methane (Δ13CDH3 and Δ12CD2H2) from different sources and the atmosphere
<p>This is the dataset needed to replicate the figures in the paper submitted to AMT.</p>
Data and code for "High-resolution spatial patterns and drivers of terrestrial ecosystem carbon dioxide, methane, and nitrous oxide fluxes in the tundra"
<p><strong>Repository structure</strong></p> <p>The zipped folder includes the following subfolders:</p> <p><em>data</em></p> <p>In-situ measurement data from the plots. Remotely-sensed data could not be included in the repository due to their large size. </p> <p><em>src</em></p> <p>R codes to reproduce the data cleaning, prosessing, and statistical analysis steps.</p> <p><em>results</em></p> <p>Model parameters, performance statistics, model files, figures, edited tables together with some summary tables produces from upscaling results.</p> <p><em>raster data and upscaled results</em></p> <p>Averaged flux, soil moisture and temperature maps for the growing season (July 1-August 2nd, 8 am - 8 pm) as well as static maps produced in this study. All the upscaled results could not be included in the repository due to their large size. </p> <p>Note that the analysis to produce the vegetation classification map are described here: https://github.com/poniitty/kilpisjarvi_vegclass</p>
Data from: Direct contribution of invertebrate holobionts to methane release from coastal sediments
<p>In this study, we incubated 103 animals specimens equivalent to 19 macrofaunal species to quantify holobiont-associated methane (CH<sub>4</sub>) fluxes and metabolic processes [oxygen (O<sub>2</sub>) - respiration and ammonium (NH<sub>4</sub><sup>+</sup>) - excretion rates]. The specific goals were to quantify holobionts CH<sub>4</sub> production/uptake and to establish correlations between CH<sub>4</sub> fluxes and environmental factors (e.g., salinity).</p> <p>Invertebrates were collected in 4 coastal systems and incubated in 22 mL glass microcosms filled with 0.22 µm twice-filtered <em>in situ</em> water. Individual and Mass-standardized CH<sub>4</sub> Production Rates (IPR and MPR, respectively), O<sub>2</sub> Respiration Rates (IRR and MRR) and NH<sub>4</sub><sup>+ </sup>Excretion Rates (IER and MER) were measured in 103 animals’ incubations.</p> <p>1. IRR were calculated from linear regression analysis of the solute (O<sub>2</sub>) versus time equation: </p> <p> <span class="math-tex">\(IRR=(Reg.Slope × V)/N\)</span></p> <p><em> where IRR (µmol O<sub>2</sub> ind.<sup>−1</sup> day<sup>−1</sup>) is the respiration of the chemical species O<sub>2</sub>; Reg.Slope is the slope of the regression (µmol O<sub>2</sub> L<sup>−1</sup> day<sup>−1</sup>); V (L) is the water volume in the glass microcosm; N is the number of incubated animals per microcosm.</em></p> <p>2. IER and IPR were calculated from the difference in concentrations (NH<sub>4</sub><sup>+</sup> and CH<sub>4</sub>) in the water using the equation:</p> <p> <span class="math-tex">\(IER and IPR = ((C_f-C_i )×V)/(N×t)\)</span></p> <p><em> where IER and IPR (µmol ind.<sup>−1</sup> day<sup>−1</sup> and nmol ind.<sup>−1</sup> day<sup>−1</sup>) are the excretion or production of the chemical species (NH<sub>4</sub><sup>+</sup> or CH<sub>4</sub>); C<sub>f</sub> and C<sub>i</sub> (µmol or nmol L<sup>−1</sup>) are the final and initial concentrations of the chemical species; V (L) is the water volume in the glass microcosm; N is the number of incubated animals per microcosm; and t (days) is the incubation time. Positive values represent productions while negative values represent uptake.</em></p> <p>Same equations were used to calculated mass-standardized rates, but instead of <em>N</em> the total animal biomass (g<sub>dw</sub>) was used. Animals’ biomass was determined as dry weight (DW) or as dry weight shell free (DWSF) for bivalves, after the desiccation at 70°C until constant mass. Water temperature and salinity were measured in situ with a multiple probe (556 MPS, YSI). Rates are reported as average ± standard error.</p>
Role of Methane in Glycemic Control
ClinicalTrials.gov study NCT01638429. IPD Sharing: NO. Countries: 1. Publications: 0.
Estimation of methane emissions from the U.S. ammonia fertilizer industry using a mobile sensing approach (supplemental data)
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Data from: Weak phylogenetic signal in physiological traits of methane-oxidizing bacteria
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Data from: Spartina alterniflora invasion drastically increases methane production potential by shifting methanogenesis from hydrogenotrophic to methylotrophic pathway in a coastal marsh
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2017 methane emission quantification and localization controlled release test at the Merced Vernal Pools and Grassland Reserve with sUAS
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2017 methane emission detection and localization controlled release test at the Pacific Gas and Electric Livermore facility with sUAS
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Data from: Plasma assisted CO2 methanation: effects on the low-temperature activity of a Ni-Ce catalyst and reaction performance
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Data from: Resistance and recovery of methane-oxidizing communities depends on stress regime and history; a microcosm study
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Data from: Bayesian modelling reveals host genetics associated with rumen microbiota jointly influence methane emission in dairy cows
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Methanotrophic bacterial symbionts fuel dense populations of deep-sea feather duster worms (Sabellida, Annelida) and extend the spatial influence of methane seepage
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International Brain Laboratory public data
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OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.