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626 results for “Methanation”
Methane Fluxes from Shorelines and Differing Surfaces, Big Trail Lake, Alaska, 2019
This dataset provides methane fluxes from hot-spot and non-hot spot differing surfaces at Big Trail Lake (BTL) in the Goldstream Valley near Fairbanks, AK, USA. Measurements were taken at a remotely-sensed methane hotspot on the shoreline of a pond, adjacent to BTL with a Los Gatos Ultra-Portable Greenhouse Gas Analyzer (UGGA), and from various non-hotspot surfaces representative of the broader thermokarst lake ecosystem with bucket chambers. All data were collected between 2019-07-04 and 2019-12-04 during the daytime hours of 09:35-17:32 local time. A ground-based CH4 enhancement survey was performed on 2019-07-06 between 13:25-17:15 Alaska Daylight Time (AKDT), approximately two hours following an AVIRIS-NG overflight and hotspot detection at the Eastside Pond. Methane flux is reported in units of both mmol CH4 m-2 hr-1 and mg CH4 m-2 d-1. Flux errors are quantified for each
High-resolution mean North American methane fluxes for 2010-2015 optimized with GOSAT satellite data V1 (CMS_HR_MNA_CH4_FLUX)
This data set contains estimates of methane emission in North America based on an inversion of the GEOS-Chem chemical transport model constrained by Greenhouse Gases Observing SATellite (GOSAT) observations.The NASA Carbon Monitoring System (CMS) is designed to make significant contributions in characterizing, quantifying, understanding, and predicting the evolution of global carbon sources and sinks through improved monitoring of carbon stocks and fluxes. The System will use the full range of NASA satellite observations and modeling/analysis capabilities to establish the accuracy, quantitative uncertainties, and utility of products for supporting national and international policy, regulatory, and management activities. CMS will maintain a global emphasis while providing finer scale regional information, utilizing space-based and surface-based data and will rapidly initiate generation and distribution of products both for user evaluation and to inform near-term policy development and planning.
CMS: Global 0.5-deg Wetland Methane Emissions and Uncertainty (WetCHARTs v1.3.3)
This dataset provides global monthly wetland methane (CH4) emissions estimates at 0.5 by 0.5-degree resolution for the period 2001-01-01 to 2022-08-31 that were derived from an ensemble of multiple terrestrial biosphere models, wetland extent scenarios, and CH4:C temperature dependencies that encompass the main sources of uncertainty in wetland CH4 emissions. There are 18 model configurations. WetCHARTs v1.3.3 is an updated product of WetCHARTs v1.3.1 dataset. The intended use of this product is as a process-informed wetland CH4 emission data set for atmospheric chemistry and transport modeling. Users can compare estimates by model configuration to explore variability and sensitivity with respect to ensemble members. The data are provided in netCDF format.
LBA-ECO LC-07 Methane Releases from Two Amazon Hydroreservoirs, Brazil: 2000-2001
This data set reports methane (CH4) fluxes at the water-air interface and concentrations and isotopic signals of CH4 in the bubbles stirred up from the sediment in Tucurui and Samuel reservoirs in 2000 and 2001. Tucurui (deep) reservoir is located near Belem city in the Tocantins-Araguaia basin in the eastern Amazon. Samuel (shallow) reservoir is situated near Porto Velho city in the Jamari River, a tributary of the Madeira River in the western Amazon. Field samples were collected between June 2000 and September 2001. There are two comma-delimited ASCII data files in this data set. This study was carried out to identify differences in methane cycling between deep and shallow reservoirs (Lima, 2005). Isotopic and concentration analyses of methane in bubbles, dissolved in the water column, and emitted to the atmosphere demonstrate that water depth is critical regarding methane emissions from hydroreservoirs in the Amazon. Methanotrophic activities are greater in Tucurui (deep) while light isotopic methane is directly released from Samuel (shallow). Therefore, the methanotrophic layer of the deep reservoir is more efficient in oxidizing methane before reaching the atmosphere, since the quantity of methane in the sediments of the reservoirs were equivalent.
Global Inventory of Methane Emissions from Fuel Exploitation V1 (GFEI_CH4)
This is a global inventory of methane emissions from fuel exploitation (GFEI) created for the NASA Carbon Monitoring System (CMS). The emission sources represented in this dataset include fugitive emission sources from oil, gas, and coal exploitation following IPCC 2006 definitions and are estimated using bottom-up methods. The inventory emissions are based on individual country reports submitted in accordance with the United Nations Framework Convention on Climate Change (UNFCCC). For those countries that do not report, the emissions are estimated following IPCC 2006 methods. Emissions are allocated to infrastructure locations including mines, wells, pipelines, compressor stations, storage facilities, processing plants, and refineries. The purpose of the inventory is to be used as a prior estimate of fuel exploitation emissions in inverse modeling of atmospheric methane observations. GFEI only includes fugitive methane emissions from oil, gas, and coal exploitation activities and does not include any combustion emissions as defined in IPCC 2006 category 1A. The CMS program is designed to make significant contributions in characterizing, quantifying, understanding, and predicting the evolution of global carbon sources and sinks through improved monitoring of carbon stocks and fluxes. The System uses NASA observations and modeling/analysis capabilities to establish the accuracy, quantitative uncertainties, and utility of products for supporting national and international policy, regulatory, and management activities. CMS data products are designed to inform near-term policy development and planning.
TES/Aura L3 Methane Monthly Gridded V006
TL3CH4M_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Methane Monthly Gridded Version 6 data product. It consists of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, methane, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.
Effect of acute embryonic exposures to tris(4-chlorophenyl)methane and tris(4-chlorophenyl)methanol in the zebrafish
GEO Series GSE165920. Danio rerio. 15 samples. Type: Expression profiling by high throughput sequencing.
Core metabolism shifts of methanol vs. methane growth in the methanotroph Methylomicrobium buryatense 5GB1
GEO Series GSE110541. Methylotuvimicrobium buryatense. 6 samples. Type: Expression profiling by high throughput sequencing.
Comparative transcriptome analysis of a novel obligate Methylomonas sp. DH-1 reveals key differences in the transcriptional responses in C1 and secondary metabolite pathways during growth on methane a
GEO Series GSE101494. Methylomonas sp. DH-1. 6 samples. Type: Expression profiling by high throughput sequencing.
A methanotrophic bacterium to enable direct methane capture for climate mitigation
GEO Series GSE221011. Methylotuvimicrobium buryatense. 4 samples. Type: Expression profiling by high throughput sequencing.
Biomarker Response of Aerobic Methanotrophs to Methane Oxidation Rates and Short-Term Methane and Oxygen Limitation
GEO Series GSE188821. Methylomicrobium album BG8. 8 samples. Type: Expression profiling by high throughput sequencing.
A laboratory-based model ecosystem reveals genetic determinants of methanotroph phenotypic heterogeneity in a methane-oxygen counter gradient
GEO Series GSE243827. Methylomonas sp. LW13. 9 samples. Type: Expression profiling by high throughput sequencing.
Interspecies chemical signalling in a methane-oxidizing bacterial community
GEO Series GSE122293. Methylomonas sp. LW13. 8 samples. Type: Expression profiling by high throughput sequencing.
Data from the Blackpool testing controlled methane release field campaign of 2018
<p>This dataset contains raw data from Amanda (UAV1) and Phillipa (UAV2), which was acquired during UAV sampling downwind of a controlled methane release in the year 2018. Raw position and wind measurements are provided from on-board UAV1 with mole fraction measurements from a ground-based instrument connected to UAV. Raw position and mole-fraction measurements are provided from on-board UAV2. Wind speed and wind direction measurements are provided from a stationary anemometer. Temperature, pressure and relative humidity measurements are provided from a stationary monitoring station. Processed positional and corrected mole fraction measurements are provided for both UAVs. Derived wind-height profiles are provided for each flight survey. Flux results for all flight surveys are provided as MATLAB files, with results provided as a text output. Results for the analysis can be found in the journal article, "Testing the near-field Gaussian plume inversion flux quantification technique using unmanned aerial vehicle sampling", published in Atmospheric Measurement Techniques.</p>
Plots/data/code for "Irreversible perturbations to the global methane cycle even under strong mitigation action" manuscript
<p>This accession contains all plots, data and scripts that were used to produce the manuscript. The study has been conducted with the fully coupled methane emissions driven configuration of UKESM1.0 using model generated interactive emission (where available) and prescribed emissions from ancillary files that were prepared for Phase 6 of the Coupled Model Intercomparison Project (CMIP6, Eyring, V., et al., Geosci. Model Dev., 9, 1937–1958, 2016, https://doi.org/10.5194/gmd-9-1937-2016).</p>
Supplementary Files: Niche differentiation of active methane-oxidizing bacteria in estuarine mangrove forest soils in Taiwan
<p>Figure S1: Phylogeny of <em>pmoA</em> lineages detected in the mangrove forest soils upstream (Guandu) and downstream (Bali) of the Tamsui estuary, Taipei, Taiwan. Methanotrophic communities collected in Zhuwei by <a href="#_ENREF_16">Shiau et al. [16]</a> were also added for comparison. The neighbor-joining tree was constructed using the MEGA X software package. Only bootstrap values greater than 50% are shown at the nodes, Figure S2: Phylogeny of 16s rRNA lineages detected in the mangrove forest soils upstream (Guandu) and downstream (Bali) of the Tamsui estuary, Taipei, Taiwan. The neighbor-joining tree was constructed using the MEGA X software package. Only bootstrap values greater than 50% are shown at the nodes.</p>
Carbon dioxide and methane exchange of a patterned subarctic fen during two contrasting growing seasons [Data set]
<p>The data set contains carbon dioxide (CO<sub>2</sub>) and methane (CH<sub>4</sub>) fluxes on ecosystem and plant community level, and ancilliary meteorological and environmental data, measured at Kaamanen fen in Northern Finland (N69°8.435', E27°16.189', 155 m a.s.l.), during 2017 - 2018. Additionally, the data set contains soil data from the fen, forest and lake ecosystems in the catchment, measured by Juha Mikola.</p> <p>C_fluxes_Heiskanen_et_al.csv includes ecosystem scale quality screened, u* filtered and gap-filled eddy covariance flux data and plant community scale flux data modelled from manual flux chamber measurements.</p> <p>environmental_data1_Heiskanen_et_al.csv and environmental_data2_Heiskanen_et_al.csv include ancillary meteorological and environmental data.</p> <p>LAI_data_2017_Heiskanen_et_al.csv and LAI_data_2018_Heiskanen_et_al.csv include leaf area index data.</p> <p>UEF_data_with_LCTs.xlsx includes soil data from peatlands, mineral soils and lake sediments, by Juha Mikola.</p>
Mobile flux plane dataset for the paper Evaluating the Mobile Flux Plane (MFP) Method to Estimate Methane Emissions using Large Eddy Simulations (LES)"
<p>This dataset contains the mobile flux planes generated from the WRF-LES simulations at the sampling distances of 10m, 20m, 30m, 40m, 50m, 75m, 100m, 125m, and 150m downwind of different well pads. Each flux plane is 400 m long and 1 km high with 81 vertical levels. </p>
Shallow and deep groundwater moderate methane dynamics in a high Arctic glacial catchment
<p>Geochemistry data of water samples taken of groundwater and river water in a glacial catchment on Svalbard during the summers of 2021 and 2022. </p>
Historical and Future Global Wetland Methane Emissions from 1979 to 2100
<p>This dataset supports the manuscript "Quantifying Global Wetland Methane Emissions with In Situ Methane Flux Data and Machine Learning Approaches" currently under review. Before reusing this data, please contact the first author (chen4371@purdue.edu) for citations and recent updates.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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.