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626 results for “Methanation”
Data from: Weak phylogenetic signal in physiological traits of methane-oxidizing bacteria
The presence of phylogenetic signal is assumed to be ubiquitous. However, for microorganisms, this may not be true given that they display high physiological flexibility and have fast regeneration. This may result in fundamentally different patterns of resemblance, that is, in variable strength of phylogenetic signal. However, in microbiological inferences, trait similarities and therewith microbial interactions with its environment are mostly assumed to follow evolutionary relatedness. Here, we tested whether indeed a straightforward relationship between relatedness and physiological traits exists for aerobic methane-oxidizing bacteria (MOB). We generated a comprehensive data set that included 30 MOB strains with quantitative physiological trait information. Phylogenetic trees were built from the 16S rRNA gene, a common phylogenetic marker, and the pmoA gene which encodes a subunit of the key enzyme involved in the first step of methane oxidation. We used a Blomberg's K from comparative biology to quantify the strength of phylogenetic signal of physiological traits. Phylogenetic signal was strongest for physiological traits associated with optimal growth pH and temperature indicating that adaptations to habitat are very strongly conserved in MOB. However, those physiological traits that are associated with kinetics of methane oxidation had only weak phylogenetic signals and were more pronounced with the pmoA than with the 16S rRNA gene phylogeny. In conclusion, our results give evidence that approaches based solely on taxonomical information will not yield further advancement on microbial eco-evolutionary interactions with its environment. This is a novel insight on the connection between function and phylogeny within microbes and adds new understanding on the evolution of physiological traits across microbes, plants and animals.
Data from: Spartina alterniflora invasion drastically increases methane production potential by shifting methanogenesis from hydrogenotrophic to methylotrophic pathway in a coastal marsh
1. Plant invasion can strongly influence carbon (C) cycling processes, thus it may affect climate change by altering C sequestration and greenhouse gas emissions in the invaded ecosystem. Since 1979, the exotic Spartina alterniflora has rapidly expanded in China's coastal areas, where significant increase in methane (CH4) emissions has been documented from post-invaded sites. However, a mechanistic understanding of the structural and functional changes of associated methanogens accompanying this invasion remains elusive. 2. Here we conducted integrated biogeochemical investigations on methanogenic substrates, activity, and diversity to identify implications of S. alterniflora invasion for methanogenesis in coastal wetlands. To do this, we collected and analyzed 0–50 cm soil profiles from an uncolonized tidal flat (TF) and salt marshes that S. alterniflora has invaded for 1 year (SA-1) and 12 years (SA-12) in Jiangsu, China. Methanogenic community composition was characterized by massive parallel sequencing. The rates and pathways of methanogenesis were determined by adding trace concentrations of 13C-labeled substrates to anaerobic incubated samples. 3. Our results revealed that 12-year invasion of S. alterniflora drastically increased CH4 production potential by one order of magnitude over that of TF. This substantial increase was primarily attributed to methanogenesis from trimethylamine; its rates increased by two orders of magnitude over TF whereas those from acetate and H2/CO2 increased far less. Hydrogenotrophic methanogenesis was the dominant pathway operating in the TF, but methanotrophic pathway contributed most to CH4 production in the surface layer of SA-1 and upper-most 40-cm layers of SA-12. Consistent with these observations, the dominant methanogens shifted from obligate hydrogenotrophic Methanococcales in TF to potential methylamine-utilizing Methanosarcinaceae in SA-12. Our Mantel analysis indicated that 'non-competitive' trimethylamine, derived from cytoplasmic osmolytes of S. alterniflora, was the major driver of this change in methanogenic community composition. 4. Synthesis. Our results suggest that invasive S. alterniflora plants gradually facilitated the local dominance of methylotrophic Methanosarcinaceae by changing the key type of methanogenic substrate in coastal marshes. Shifts in methanogen communities and enhanced availability of trimethylamine elevated the rates and importance of methylotrophic methanogenesis, thereby markedly increasing CH4 production potential and emission rates in this type of ecosystem.
Methane sensor calibration dataset
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Chimneys and blankets: species-dependent methane emissions in a rewetted Dutch peatland
<p>Data belonging to the PhD thesis chapter "Chimneys and blankets: species-dependent methane emissions in a rewetted Dutch peatland", in:</p> <p>Vroom, R.J.E. 2024. From meadows to marshes: cultivating plants to revive degraded wetlands. PhD thesis, Radboud Universiteit, Nijmegen, the Netherlands.</p> <p>And the published paper Vroom, R.J.E., Gremmen, T.M., van Huissteden, J., Smolders, A.J.P., Kosten, S., Fritz, C., van de Riet, B.P., van Huissteden, C., van den Berg, M., 2024. Species-dependent methane emissions in a Dutch peatland during paludiculture establishment. Mires Peat 31, 1–19. doi:10.19189/MaP.2023.OMB.Sc.2422120</p> <p> </p>
LQ/China's coal methane emission inventory
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Data supporting "Aerobic methane production in Scots pine shoots is independent of drought or photosynthesis"
<p>Data supporting our New Phytologist publication "Aerobic methane production in Scots pine shoots is independent of drought or photosynthesis"</p>
Intermediate volatility organic compounds (IVOCs) emissions based on source-specific emission ratios relative to non-methane volatile organic compounds (NMVOCs) give better representation of the spatial distribution of IVOCs in China
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Methane mean emissions from wetlands in Mexico for the period 2000-2017
<p>Metane emissions from wetlands from Mexico, using the for the period 2000-2017 at a resolution of 0.1º, using the output of 13 land surface models of global CH<sub>4</sub> emissions from wetlands published and used in the current Global Methane Budget (Table 2 in Saunois et al., 2020). The Global Methane Budget did not include emissions at the individual country scale, thus, CH<sub>4</sub> emissions from Mexican wetlands were calculated by selecting the Mexican territory from the global output, superimposing a mask of Mexican wetland distribution produced by INEGI (https://www.inegi.org.mx/temas/humedales/), and interpolating at a resolution of 0.01º.</p> <p>The data base (NetCDF) has four dimensions: latitud, longitud, time and the mean of the 13 models and their versions. It is already published in: </p>
A Millimeter-Scale Change in Leaf Litter Placement Within Soil-Water Interfaces Alters Carbon Dioxide and Methane Emission
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Data From: Methane Emissions from Unplugged Abandoned Oil and Gas Wells in Louisiana
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Onshore Methane Seeps in West Siberian Floodplains
<p>Recently numerous methane seeps were found in West Siberian middle taiga river floodplains. Seepage occurs in unvegetated spots and areas of saturated quicksand deposits and in the bottom of river stream beds. Despite the origin of CH<sub>4</sub> in these seeps is not fully understood, they can make substantial contribution in regional greenhouse gas emission. Possibly, seeps are a unique phenomenon of the studied region.</p> <p>These videos were produced to supplement our researches on gas origin, emission rates and seeps area.</p>
The effects of methane clathrates on the thermal and seismic profile of Titan's icy lithosphere
<p>Dataset and codes used in the publication of the same name. Two main folders include the data for the pure water ice model and a model with a 10 km clathrate lid. Within the main folders are SAC_files containing the synthetic seismograms and the Mineos surface wave dispersion data. The sac files are named by distance and component (vertical Z, East E or North N). </p>
Methane production for fed-batch assays amended with graphene oxide and two standard substrates
<p>The spreadsheet contains all the data generated using the Automatic Methane Potential Tests System (AMPTS) for fed-batch experiments containing graphene oxide (GO) at 0, 5, 10, and 20 mg of GO per g of volatile solids (VS).</p> <p>Also, the dataset is divided accordingly to the two substrates used, i.e., glucose (G) and microcrystalline cellulose (C).</p>
Methane data collected in the 36th CHINARE cruise during 2019-2020
<p>Methane (CH<sub>4</sub>) is one of the important greenhouse gases. CH<sub>4</sub> dry mole fractions in the atmosphere have increased continuously since the onset of the industrial revolution, contributing to more than 20% of the anthropogenic radiative forcing in the lower atmosphere since 1750. In addition, the ice-covered parts of the Antarctic are now a reservoir of organic carbon, suggesting that the Antarctic ice sheet may be a neglected but essential component of the global CH<sub>4</sub> budget.</p> <p>Seawater samples for CH<sub>4</sub> analysis were collected onboard R/V “Xuelong 2” during the 36th Chinese Antarctic Research Expedition (CHINARE) to the Ross Sea from 3–6 January 2020.</p> <p>1. Equipment:</p> <ul> <li>Name gas chromatography</li> <li>Model: Agilent 7890A</li> <li>Method: purge-and-trap</li> <li>Calibration: CH<sub>4</sub>:N<sub>2</sub> mixtures, China Institute of Metrology</li> </ul> <p>2 Sampling and analysis</p> <p>The samples were collected with a rosette water sampler equipped with Niskin bottles. Briefly, seawater was transferred to biochemical-oxygen-demand bottles (one for each depth), which were stored in the dark at 4 °C with after adding 180 μL of saturated HgCl<sub>2</sub>.</p> <p>3 Location</p> <p>Ross Sea.</p>
Datasets for "A survey of methane point source emissions from coal mines in Shanxi province of China using AHSI on board Gaofen-5B"
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Fig. 18 in Mollusks and a crustacean from early Oligocene methane-seep deposits in the Talara Basin, northern Peru
Fig. 18. The callianassid ghost shrimp Eucalliax capsulasetaea sp. nov. from early Oligocene seep deposits at Cerro La Salina, blocks 2, 4, 6, 7, in the Talara Basin, northern Peru. A. Holotype (NRM Ar69394), right propodus in outer lateral view. B. Paratype (NRM Ar69376), right propodus in inner lateral view. C. Paratype (NRM Ar69383), right propodus in dorsal (C1), dorso-lateral (C2), outer lateral (C3), and inner lateral (C4) views. D. Paratype (NRM Ar69398), right propodus in outer lateral view. E. Paratype (NRM Ar69393), left propodus in outer lateral view. F. Paratype (NRM Ar69401), left propodus in inner lateral (F1), outer lateral (F2) and dorso-lateral (F3, F4) views. G. Paratype (NRM Ar69397), right propodus in outer lateral view. H. Paratype (NRM Ar69377), left carpus in outer lateral view. I. NRM Ar69399, right fixed finger in occlusal view. J. NRM Ar69388, right dactylus in outer lateral view. K–N. Details of capsulated setae on outer lateral surfaces of major cheliped propodi. K. NRM Ar69398. L. NRM Ar69393. M. NRM Ar69394. N. NRM Ar69383. Scale bars 5 mm.
Fig. 11 in Mollusks and a crustacean from early Oligocene methane-seep deposits in the Talara Basin, northern Peru
Fig. 11. The vetigastropod Pyropelta seca sp. nov. from early Oligocene seep deposits at Cerro La Salina block 6, Talara Basin, northern Peru. A. Paratype NRM Mo187035) in lateral (A1) and apical (A2) views. B. Holotype (NRM Mo187036) in lateral (B1) and apical (B2) views. C. Paratype (NRM Mo187037) in lateral (C1) and apical (C2) views. D. Paratype (NRM Mo187038) in lateral (D1) and apical (D2) views. E. Paratype (NRM Mo187039) in anterior view.
Fig. 9 in Mollusks and a crustacean from early Oligocene methane-seep deposits in the Talara Basin, northern Peru
Fig. 9. Limpet gastropods from early Oligocene seep deposits at Cerro La Salina (block 6, B, C; block 9, A) Talara Basin, northern Peru. A. Limpet indet. 1 (NRM Mo187032) in lateral view (A1), apical view (A2) and seen from anterior view (A3). B. Limpet indet. 2 (NRM Mo187033) in apical (B1) and lateral (B2) views. C. The cocculinid Coccopigya sp. (NRM Mo187034) in apical (C1) and lateral (C2) views.
Fig. 4 in Mollusks and a crustacean from early Oligocene methane-seep deposits in the Talara Basin, northern Peru
Fig. 4. The thyasirid Conchocele tessaria (Olsson, 1931) from early Oligocene seep deposits at Cerro La Salina (block 1, E; block 7, A–C; block 8, D), Talara Basin, northern Peru. A, B. Left valve of large specimen (A, NRM Mo187005; B, NRM Mo187006). C. Medium-sized specimen (NRM Mo187007), right valve showing fine growth increments (C1), dorsal view showing lunule (C2), left valve showing dorsal sulcus (C3). D. Small specimen (NRM Mo187008), left valve showing a healed shell injury (D1), right valve showing dorsal sulcus (D2) and dorsal view showing lunule posterior area (D3). E. Small specimen (NRM Mo187010) showing hinge of right valve.
Computational Chemistry and Machine Learning-assisted Screening of Supported Amorphous Metal Oxide Nanoclusters for Methane Activation
<p>Gaussian input and output files for reproducibility of the results.</p>
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
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.