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140 results for “Methane emissions”

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zenodo36/100

Gridded posterior methane emissions

<p>The publication <a href="https://doi.org/10.5194/acp-22-15351-2022">Estimating Emissions of Methane Consistent with Atmospheric Measurements of Methane and &delta;&sup1;&sup3;C of Methane</a>&nbsp;reports methane emissions inferred from a joint assimilation of atmospheric CH₄ and &delta;&sup1;&sup3;CH₄ measurements. The inversion problem is under-constrained, and therefore inversely estimated fluxes should not be interpreted at the spatiotemporal resolution of the inversion. However, for visualization and modeling purposes, it is often convenient to have gridded flux estimates that, while not direct outputs from the inversion, satisfy multiple regional constraints from the inversion. This 1&ordm;&times;1&ordm; flux product is such a construction. At annual, continental scales, the total methane emissions per source type are identical to those from the&nbsp;CH₄ + &delta;&sup1;&sup3;CH₄ inversion in the publication. The monthly, sub-continental patterns are dictated by the prior (inventory) emission estimates used in the publication.</p>

opencc-by-4.0Dec 2022View details →
dryad36/100

Particulate organic carbon sedimentation triggers lagged methane emissions in a eutrophic reservoir

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publicDec 2023View details →
dryad36/100

Data from: Controlled irrigation suppresses methane emissions by reshaping the rhizosphere microbiomes in rice

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publicDec 2025View details →
dryad36/100

Global methane and nitrous oxide emissions from inland waters and estuaries

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publicApr 2023View details →
dryad36/100

Fencing farm dams to exclude livestock halves methane emissions and improves water quality

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publicApr 2023View details →
dryad36/100

Seasonal landfill methane emissions driven by temperature and pressure

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publicJan 2026View details →
dryad36/100

Stem methane emissions and wood methane production

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publicOct 2022View details →
dryad36/100

Data from: Methane emissions from abandoned oil and gas wells in Colorado

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publicFeb 2025View details →
dryad36/100

Quantifying the effects sizes of common controls on methane emissions from an ombrotrophic peat bog

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publicApr 2023View details →
dryad36/100

Quantifying methane emissions from Laurentian Great Lakes estuaries using in situ measurements, remote sensing and machine learning

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publicDec 2025View details →
dryad36/100

Data from: Drivers of intra-individual spatial variability in methane emissions from tree trunks in upland forest

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publicMar 2024View details →
dryad36/100

Fencing the flux: Seasonal trends, environmental drivers, and mitigation opportunities of methane emissions from farm dams

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publicNov 2025View details →
dryad36/100

Model code for reconstructing biomass burning emissions from ice core records of acetylene, ethane, and methane

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publicSep 2020View details →
edi36/100

Post-extraction restored peatland methane production and emission

Peatland degradation due to human activities is contributing to rising atmospheric CO2 levels. Restoring the carbon (C) sink function in degraded peatlands and preventing further stored C losses is a key climate mitigation strategy, given the global scale of peatland disturbance. Active restoration at a post-extraction peatland in Canada has been shown to successfully re-establish net CO2 uptake rates similar to undisturbed peatlands within a decade or two. However, lower than expected CH4 emissions suggest recovery of belowground C cycling processes may lag behind recovery of the surface net flux. Using closed chamber measurements over a warm season, we determined that restored Sphagnum, which covers two thirds of the site, was a net zero source of CH4. Emissions from the restored site were primarily attributed to vascular plant substrate inputs, measured as acetate, and plant-mediated transport. The carbon isotopic fractionation factor for CH4 and CO2 in the restored former peat field pore water exhibited α < 1.060 even deeper in the cutover peat profile (0.8 m depth), evidence of a dominance in acetoclastic methane production. In contrast, isotopic fractionation in the former drainage ditches showed a balance of acetoclastic and hydrogenotrophic methanogenesis deeper in the profile, indicative of some bulk peat C turnover. This study shows that the legacy of substrate quality in the cutover peat in reducing CH4 production and thus emission, can aid in reducing the climate warming impact of newly restored peatlands.

openCC (other)Sep 2020View details →
dryad32/100

Data from: Impact of native and non-native aquatic plants on methane emission and phytoplankton growth

Freshwater plants affect the ecosystem functioning of shallow aquatic ecosystems. However, because native plants are threatened by environmental change such as eutrophication, global warming and biological invasions, continued ecosystem functioning may be at risk. In this study, we explored how the growth of native and non-native plant species in eutrophic, warm conditions impacts two plant ecosystem functions: regulation of phytoplankton growth and methane emission. We expected that plants would inhibit phytoplankton growth, while for methane emission both inhibition and stimulation are possible. We conducted an outdoor experiment using monocultures of four native and four non-native freshwater plant species planted at three different densities, as well as a no-plant control. Monocultures of each species were planted in 65 L mesocosms and after three weeks of acclimatisation each mesocosm was inoculated with phytoplankton. Subsequently, we added nutrients twice a week for eight weeks, before harvesting the plant biomass. During these eight weeks, we measured chlorophyll-a concentration thirteen times and the diffusive methane emissions once after four weeks. The mesocosms amplified the temperature of a warm summer so that plants were exposed to higher-than-average temperatures. We found that five plant species lost biomass, two species increased their biomass only at the highest initial plant density (native Myriophyllum spicatum and non-native Lagarosiphon major) and a single species increased its biomass at all densities (on average 14 times its initial mass; amphibious non-native Myriophyllum aquaticum). Overall, the mean biomass change of non-natives was positive, whereas that of natives was negative. This difference in biomass change between native and non-native plants did not relate to overall differences in phytoplankton mass or diffusive methane emissions. In mesocosms where submerged plant species gained biomass, chlorophyll-a concentration was lower than in the no-plant control and mesocosms with biomass loss. Diffusive methane emissions were highest in mesocosms where plants lost considerable biomass, likely because it increased substrate availability for methanogenesis. However, mesocosms where plant biomass increased had emissions similar to the no-plant control, hence we found no inhibitory effects of plant presence on diffusive methane emission. We conclude that plant growth in eutrophic, warm conditions varies strongly with plant identity. Our results furthermore suggest that plant identity determines whether the replacement of native by non-native freshwater plants will alter ecosystem functions such as regulation of phytoplankton growth and methane emission.

opencc-zeroDec 2016View details →
zenodo32/100

Retrieval of dominant methane (CH4) emission sources, the first high resolution (1-2m) dataset of storage tanks of China in 2000-2021

<p>We presented a storage tank inventory of 92 typical cities with high volatile organic compounds, in response to the Three-Year Action Plan for Winning the Blue Sky Defense War, proposed by the State Council of China. It comprises of 14461 storage tanks, which are extracted based on high spatail resolution images of GaoFen-1, GaoFen-2, GaoFen-6, and Ziyuan satellites in year of 2021. It is the first inventory covering detailed distribution locations and boundaries of storage tanks. The inventory we aim to share provides a basic distribution of storage tanks in different sizes and will contribute to support environmentally friendly regulations proposal for more effective pollution control and energy resource management.</p>

opencc-by-4.0Jan 2024View details →
zenodo32/100

Systematic review for optimizing sample size in dairy cow methane emission studies: a comprehensive methodological approach

<p>Collection of research data focusing on methane (CH4) emissions from dairy cows across various breeds and conditions. The dataset encompasses a range of studies published from 2012 to 2023, each documented with specific parameters including the study title, authors, country of research, cow breed, lactation status, methods used for CH4 measurement, experimental designs, CH4 yield and its variability, dry matter intake, and diet composition.</p>

opencc-by-4.0Dec 2023View details →
zenodo32/100

Eutrophication and deoxygenation drive high methane emissions from a brackish coastal system

<p>Data presented in the article "<span>Eutrophication and deoxygenation drive high methane emissions from a brackish coastal system&nbsp;</span>".</p>

opencc-by-4.0Jan 2024View details →
zenodo32/100

China's gridded fugitive energy methane emissions over 2011-2020

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opencc-by-4.0Jun 2024View details →
zenodo32/100

Peat macropore networks – new insights into episodic and hotspot methane emission

<p>The data and scripts are related to the manuscript &quot;Peat macropore networks &ndash; new insights into episodic and hotspot methane emission&quot; by Petri Kiuru, Marjo Palviainen, Tiia Gr&ouml;nholm, Maarit Raivonen, Lukas Kohl, Vincent Gauci, I&ntilde;aki Urzainki, and Annamari (Ari) Laur&eacute;n submitted to Biogeosciences.</p>

opencc-by-4.0Mar 2022View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record