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138 results for “ch4”
Raw data sets for: A simple calculation algorithm to seperate high-resolution CH4 flux measurements into ebullition- and diffusion derived components (AMT)
<p>Raw data sets for the research article "A simple calculation algorithm to seperate high-resolution CH4 flux measurements into ebullition- and diffusion derived components", published in "Atmospheric Measurment Techniques" (AMT). Data sets include raw data sets for the field and laboratory study, as well as calculated CH4 fluxes (field).</p>
Dataset for the study:"Driving and limiting factors of CH4 and CO2 emissions from coastal brackish-water wetlands in temperate regions"
<p>Dataset used for statistical analysis of the manuscript "Chiapponi, E., Silvestri, S., Zannoni, D., Antonellini, M., and Giambastiani, B. M. S.: Driving and limiting factors of CH<sub>4</sub> and CO<sub>2</sub> emissions from coastal brackish-water wetlands in temperate regions, EGUsphere, https://doi.org/10.5194/egusphere-2023-605, 2023."</p> <p>The dataset include:</p> <ul> <li>CO2 and CH4 fluxes retrived with a portable fluximeter from soils and standing waters</li> <li>environemntal parameters ( T of air and water, Electrical Conductivity (EC), irradiance and water depth </li> </ul> <p>To cite content from this repository: "Chiapponi, E., Silvestri, S., Zannoni, D., Antonellini, M., and Giambastiani, B. M. S.: Dataset for the study:"Driving and limiting factors of CH4 and CO2 emissions from coastal brackish-water wetlands in temperate regions", EGUsphere, 10.5281/zenodo.10390803."</p> <p> </p>
CH4 top-down emissions from three high-latitude Arctic regions.
<p>This dataset contains top-down emissions from three high-latitude Arctic regions (the North Slope of Alaska, the East Siberian Lowlands and the Taymyr Peninsula) using three different priors. Emissions were used in the publication "Ward et al., 2024 - Increasing methane emissions and widespread cold-season release from high-Arctic regions detected through atmospheric measurements" in review with JGR:Atmospheres. </p> <p>Top-down emissions were derived using the RHIME inverse model from the University of Bristol's Atmopsheric Chemistry Research Group. For more details on the model, inputs and region definitions please see the above publication.</p>
Data and code for: Suppression of nitrogen deposition on global forest soil CH4 uptake depends on nitrogen status
<p>Methane (CH4) is the second most important atmospheric greenhouse gas (GHG) and forest soils are a significant sink for atmospheric CH4. Uptake of CH4 by global forest soils is affected by nitrogen (N) deposition; clarifying the effect of N deposition helps to reduce uncertainties of the global CH4 budget. However, it remains an unsolved puzzle why N input stimulates soil CH4 flux (RCH4) in some forests while suppressing it in others. Combining previous findings and data from N addition experiments conducted in global forests, we proposed and tested a “stimulating-suppressing-weakened effect” (“three stages”) hypothesis on the changing responses of RCH4 to N input. Specifically, we calculated the response factors (f) of RCH4 to N input for N-limited and N-saturated forests across biomes; the phased changes in f values supported our hypothesis. We also estimated the global forest soil CH4 uptake budget to be approximately 11.2 Tg yr–1. CH4 uptake hotspots were located predominantly in temperate forests. Furthermore, we quantified that current level of N deposition reduced global forest soil CH4 uptake by ~3%. This suppression effect was more pronounced in temperate forests than in tropical or boreal forests, likely due to differences in N status. The proposed “three stages” hypothesis in this study generalizes the diverse effects of N input on RCH4, which could help improve experimental design. Additionally, our findings imply that by regulating N pollution and reducing N deposition, soil CH4 uptake can be significantly increased in the N-saturated forests in tropical and temperate biomes.</p> <p>Specifically, Data Set S1 (CH4_exp dataset in main text) was used to derive the response factors of soil CH4 flux to N input in global forests; Data Set S2 (CH4_obs dataset in main text) was used to estimate the soil CH4 fluxes in global forests; Data Sets S3–S7 were used to classify the N-limited and N-saturated forests on global level; Data Set S8 contains environmental factors (MAT, MAP, soil texture, etc.) for global estimations on grid level; Data Set S9 contains global forest soil CH4 budgets reported in previous studies. The data analysis process and produced figures can be replicated with the uploaded R script (Code S1).</p>
Dataset for a manuscript entitled Variation in CO2 and CH4 Fluxes Among Land Cover Types in Heterogeneous Arctic Tundra in Northeastern Siberia
<p>Dataset for the manuscript Variation in CO<sub>2</sub> and CH<sub>4</sub> Fluxes Among Land Cover Types in Heterogeneous Arctic Tundra in Northeastern Siberia authored by Sari Juutinen, Mika Aurela, Juha-Pekka Tuovinen, Viktor Ivakhov, Maiju Linkosalmi, Aleksi Räsänen, Tarmo Virtanen, Juha Mikola, Johanna Nyman, Emmi Vähä, Marina Loskutova, Alexander Makshtas, and Tuomas Laurila</p> <p>Dataset consists of CO2 and CH4 flux data measured mainly using chamber method in arctic tundra</p>
CH4 and CO2 dataset for the Qinghai-Tibetan Plateau rivers
<p>This dataset is a collection of direct field measurement values of CH4 and CO2 concentrations and fluxes from the Qinghai-Tibetan Plateau rivers.</p>
Catalyst-free single-step plasma reforming of CH4 and CO2 to higher value oxygenates under ambient conditions
<p>Experimental data</p>
Global wetland CH4 emissions estimated by LPJ-wsl model for 1980-2021
<p>This dataset contains two files that summarize the regional wetland methane emissions simulated by LPJ-wsl model for the period of 2000-2021. two estimates based on two climate forcing datasets, ground-based CRU and reanalysis-based MERRA2. The ground-based input dataset is a monthly climatic observation based on meteorological stations developed by Climatic Research Unit, University of East Anglia. The reanalysis-based climate dataset is a daily climatic dataset from 1 hourly reanalysis Modern-Era Retrospective analysis for Research and Applications Version 2. For more details about LPJ-wsl model, see Zhang et al., (2017, 2018).</p> <p>References:</p> <p>Zhang, Z., Zimmermann, N.E., Stenke, A., Li, X., Hodson, E.L., Zhu, G., Huang, C., Poulter, B., 2017. Emerging role of wetland methane emissions in driving 21st century climate change. Proceedings of the National Academy of Sciences 114, 9647–9652. <a href="https://doi.org/10.1073/pnas.1618765114">https://doi.org/10.1073/pnas.1618765114</a></p> <p>Zhang, Z., Zimmermann, N.E., Calle, L., Hurtt, G., Chatterjee, A., Poulter, B., 2018. Enhanced response of global wetland methane emissions to the 2015–2016 El Niño-Southern Oscillation event. Environmental Research Letters 13, 074009. <a href="https://doi.org/10.1088/1748-9326/aac939">https://doi.org/10.1088/1748-9326/aac939</a></p>
Kristineberg Seagrass CH4 & CO2 Timeseries Data
<p>This dataset comprises raw data obtained from measurements conducted within a seagrass meadow located at Kristineberg, Sweden. The dataset originates from continuous timeseries observations across four seasons: late summer, autumn, spring, and early summer. It includes measurements of methane concentration and carbon dioxide partial pressure within the water column. Additional parameters are depth, temperature, salinity, dissolved oxygen, pH, wind speed, and radon decay. The timestamps correspond to the Central European Time zone (CET). This dataset was used to resolve diel and seasonal dynamics of methane and carbon dioxide water-air fluxes over a cold-temperate seagrass meadow. </p> <p>Dataset is found in "Timeseries" sheet. </p> <p>Units, parameter and instrument description are found in "Metadata" sheet. </p>
patch-ch4
<p>Data and analysis code supporting "High spatial variability in wetland methane fluxes is tied to vegetation patch types"</p>
Congo Basin forest soil CO2, CH4 and N2O flux data.
<p><span>Tropical forests play an important role in the greenhouse gas exchange between biosphere and atmosphere. Despite holding the second largest tropical forest globally, the Congo basin is generally understudied and ground based greenhouse gas flux data are lacking. In this study, high frequency measurements spanning of sixteen months from automated and manual soil chambers are combined, to characterize spatio-temporal variability in soil greenhouse gas fluxes from a lowland tropical forest in Yangambi, in the Congo Basin. </span></p>
Data from: Spatial variation of soil CO2, CH4 and N2O fluxes across topographical positions in tropical forests of the Guiana Shield in Ecosystems
<p>Data from: Spatial variation of soil CO2, CH4 and N2O fluxes across topographical positions in tropical forests of the Guiana Shield in Ecosystems</p>
Modelling alternative harvest effects on soil CO2 and CH4 fluxes from peatland forests [dataset]
<p>This contains the forest floor soil respiration data and the water level data used in the model simulations in the paper titled "Modelling alternative harvest effects on soil CO2 and CH4 fluxes from peatland forests " (Li et al, 2024; <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.scitotenv.2024.175257" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.scitotenv.2024.175257</a>)</p>
Methane Fluxes and 13C-CH4 from a Northern Temperate Peatland
<p>This dataset contains methane (CH<sub>4</sub>) emissions and their <sup>13</sup>C isotope composition (δ<sup>13</sup>C-CH<sub>4</sub>) measured using the static flux chamber method in a poor fen in New Hampshire, USA. Measurements were collected weekly (CH<sub>4</sub> emissions) to bi-weekly (δ<sup>13</sup>C-CH<sub>4</sub>) from flux collars with varying microtopgraphy (hummock, lawn, and wet) from May to August 2020 and 2021. Datasets includes metadata of water table depth, peat and air temperature, and precipitation collected alongside flux meausurements. Each data file contains a "README" tab with a guide for variable units and descriptions. </p>
Urbanization can accelerate climate change by increasing soil N2O emission while reducing CH4 uptake
<p><span>Urban land use change has the potential to affect local to </span><span>global biogeochemical carbon (C) and nitrogen (N) cycles and associated greenhouse gas (GHG) fluxes</span><span>. We conducted a meta-analysis to 1) assess the effects of urbanization-induced land-use conversion on soil nitrous oxide (N<sub>2</sub>O) and methane (CH<sub>4</sub>) fluxes, 2) quantify direct </span><span>N<sub>2</sub>O</span><span> emission factors (EF<sub>d</sub>) of fertilized urban soils used e.g., as lawns or forests, and 3) identify the key drivers leading to flux changes associated with urbanization. On average, urbanization increases soil </span><span>N<sub>2</sub>O</span><span> emissions by 153%, to 3.0 kg N ha<sup>-1</sup> yr<sup>-1</sup>, while rates of soil CH4 uptake are reduced by 50%, to 2.0 kg C </span><span>ha<sup>-1</sup> yr<sup>-1</sup></span><span>. The mean annual </span><span>N<sub>2</sub>O</span> <span>EF<sub>d</sub></span><span> of fertilized lawns and urban forests is 1.4%, suggesting that urban soils can be regional hotspots of </span><span>N<sub>2</sub>O</span><span> emissions. On a global basis, conversion of land to urban greenspaces has increased soil </span><span>N<sub>2</sub>O</span><span> emission by 0.46 Tg </span><span>N<sub>2</sub>O</span><span>-N yr<sup>-1</sup> and decreased soil </span><span>CH<sub>4</sub></span><span> uptake by 0.58 Tg </span><span>CH<sub>4</sub></span><span>-C yr<sup>-1</sup>. Urbanization-driven changes in soil </span><span>N<sub>2</sub>O</span><span> emission and CH4 uptake are associated with changes in soil properties (bulk density, pH, total N content and C/N ratio), increased temperature, and management practices, especially fertilizer use. Overall, our meta-analysis shows that urbanization increases soil </span><span>N<sub>2</sub>O</span><span> emissions and reduces the role of soils as a sink for atmospheric </span><span>CH<sub>4</sub></span><span>. These effects can be mitigated by avoiding soil compaction, reducing fertilization of lawns, and restoring native ecosystems in urban landscapes.</span></p>
CH4 production and emissions from the upper parts of tree trunks in cool-temperate upland forest
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Urbanization can accelerate climate change by increasing soil N2O emission while reducing CH4 uptake
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Biochar increases tree biomass in a managed boreal forest, but does not alter N2O, CH4, and CO2 emissions
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Dissolved CO2 and CH4 concentrations in the Connecticut River Watershed
This dataset supports the paper accepted to Limnology and Oceanography: Distinct concentration-discharge dynamics in temperate streams and rivers: CO2 exhibits chemostasis while CH4 exhibits source limitation due to temperature control Authored by Kelly S. Aho, Jennifer H. Fair, Jacob D. Hosen, Ethan D. Kyzivat, Laura A. Logozzo, Gerard Rocher-Ros, Lisa C. Weber, Bryan Yoon, and Peter A. Raymond
Comparison of different gas extraction techniques to analyze CH4 and N2O compositions in gas trapped in permafrost ice wedges
<p>Methane (CH4) and nitrous oxide (N2O) compositions in ground ice may provide information on their production mechanisms in permafrost. However, existing gas extraction methods have not been well tested. We tested conventional wet and dry gas extraction methods using ice wedges from Alaska and Siberia, finding that both methods can extract gas from the easily extractable parts of the ice (e.g., gas bubbles), and yield similar results for CH4 and N2O mixing ratios. We also found insignificant effects of microbial activity during wet extraction. However, both techniques were unable to fully extract gas from the ground ice, presumably because gas molecules adsorbed onto or enclosed in soil aggregates are not easily extractable. Estimation of gas production in subfreezing environment of permafrost should consider such incomplete gas extraction.</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
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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.