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62 results for “methane oxidation”

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zenodo56/100

National contributions to climate change due to historical emissions of carbon dioxide, methane and nitrous oxide

<p>A complete description of the dataset is given by <a href="http://doi.org/10.1038/s41597-023-02041-1">Jones et al. (2023)</a>. Key information is provided&nbsp;below.</p> <p><strong>Background</strong></p> <p>A dataset describing the global warming response to national emissions&nbsp;CO<sub>2</sub>, CH<sub>4</sub> and N<sub>2</sub>O from fossil and land use sources during 1851-2021.</p> <p>National CO<sub>2&nbsp;</sub>emissions data are collated from the Global Carbon Project (Andrew and Peters, 2024; Friedlingstein et al., 2024).&nbsp;</p> <p>National CH<sub>4</sub>&nbsp;and N<sub>2</sub>O emissions data are collated from PRIMAP-hist (HISTTP) (G&uuml;tschow et al., 2024).</p> <p>We construct a&nbsp;time series of cumulative CO2-equivalent&nbsp;emissions&nbsp;for each country,&nbsp;gas, and emissions source (fossil or land use). Emissions of CH<sub>4</sub>&nbsp;and N<sub>2</sub>O emissions are related to cumulative CO2-equivalent&nbsp;emissions using the Global Warming Potential (GWP*) approach, with&nbsp;best-estimates of the coefficients taken from the&nbsp;IPCC AR6 (Forster et al., 2021).</p> <p>Warming in response&nbsp;to&nbsp;cumulative CO2-equivalent&nbsp;emissions is estimated using the transient climate response to cumulative carbon emissions (TCRE) approach, with&nbsp;best-estimate value of TCRE&nbsp;taken from the&nbsp;IPCC AR6 (Forster et al., 2021, Canadell et al., 2021). 'Warming' is specifically the change in&nbsp;global mean surface temperature (GMST).</p> <p>The data files provide emissions, cumulative emissions and the GMST response by country, gas (CO<sub>2</sub>, CH<sub>4</sub>, N<sub>2</sub>O or 3-GHG total) and source (fossil emissions, land use emissions or the total).</p> <p><strong>Data records: overview</strong></p> <p>The data records include three comma separated values (.csv) files as described below.</p> <p>All files are in &lsquo;long&rsquo; format with one value provided in the <em>Data</em> column for each combination of the categorical variables <em>Year, Country Name, Country ISO3 code, Gas, and Component</em> columns.</p> <p><em>Component</em>&nbsp;specifies fossil emissions, LULUCF emissions or total emissions of the gas.</p> <p><em>Gas</em> specifies CO<sub>2</sub>, CH<sub>4</sub>, N<sub>2</sub>O or the three-gas total (labelled 3-GHG).</p> <p><em>Country ISO3 codes</em> are specifically the unique ISO 3166-1 alpha-3 codes of each country.</p> <p><strong>Data records: specifics</strong></p> <p>Data are provided relative to 2 reference years (denoted <em>ref_year </em>below): 1850 and 1991. 1850 is a mutual first year of data spanning all input datasets. 1991 is relevant because the United Nations Framework Convention on Climate Change was operationalised in 1992.</p> <p><em>EMISSIONS_ANNUAL_{ref_year-20}-2023.csv:</em> <em>Data </em>includes annual emissions of CO<sub>2</sub> (Pg CO<sub>2</sub> year<sup>-1</sup>), CH<sub>4</sub> (Tg CH<sub>4</sub> year<sup>-1</sup>) and N<sub>2</sub>O (Tg N<sub>2</sub>O year<sup>-1</sup>) during the period <em>ref_year-20 </em>to 2023. The <em>Data</em> column provides values for every combination of the categorical variables. Data are provided from <em>ref_year-20</em> because these data are required to calculate GWP* for CH<sub>4</sub>.</p> <p><em>EMISSIONS_CUMULATIVE_CO2e100_{ref_year+1}-2023.csv: Data </em>includes the cumulative CO<sub>2</sub> equivalent emissions in units Pg CO<sub>2</sub>-e<sub>100</sub> during the period <em>ref_year+1</em> to 2023 (i.e. since the reference year). The <em>Data</em> column provides values for every combination of the categorical variables.&nbsp;</p> <p><em>GMST_response_{ref_year+1}-2023.csv:</em> <em>Data</em> includes the change in global mean surface temperature (GMST) due to emissions of the three gases in units &deg;C during the period <em>ref_year+1</em> to 2023 (i.e. since the reference year). The&nbsp;<em>Data</em> column provides values for every combination of the categorical variables.&nbsp;</p> <p><strong>Accompanying Code</strong></p> <p>Code is available at:&nbsp;<a href="https://github.com/jonesmattw/National_Warming_Contributions">https://github.com/jonesmattw/National_Warming_Contributions</a> .</p> <p>The code requires Input.zip to run (see README at the GitHub link).</p> <p><strong>Further info: Country Groupings</strong></p> <p>We also provide estimates of the contributions of various country groupings as defined by the UNFCCC:</p> <ul> <li>Annex I countries (number of countries, n = 42)</li> <li>Annex II countries (n = 23)</li> <li>economies in transition (EITs; n = 15)</li> <li>the least developed countries (LDCs; n = 47)</li> <li>the like-minded developing countries (LMDC; n = 24).</li> </ul> <p>And other country groupings:</p> <ul> <li>the organisation for economic co-operation and development (OECD; n = 38)</li> <li>the European Union (EU27 post-Brexit)</li> <li>the Brazil, South Africa, India and China (BASIC) group.</li> </ul> <p>See COUNTRY_GROUPINGS.xlsx for the lists of countries in each group.</p>

opencc-by-4.0Dec 2022View details →
zenodo52/100

GHG Dataset for the frontiers publication "Soil Nitrous Oxide Emission and Methane Exchange from Diversified Cropping Systems in Pannonian Region"

<p>GHG Dataset used in the Frontiers Publication &quot;Soil Nitrous Oxide Emission and Methane Exchange from Diversified Cropping Systems in Pannonian Region&quot;. Additionally including CO2 besides N2O and CH4. Includes 3 cropping seasons.</p> <p>The data is also available online on the GHG flux visualisation and calculation tool &quot;gasflxvis&quot;: https://sae-interactive-data.ethz.ch/gasflxvis/</p> <p>Further details on the calulation are provided both on gasflxvis and the Frontiers publication. Calculation procedure according the following PLOS ONE publication: http://dx.doi.org/10.1371/journal.pone.0200876</p>

opencc-by-4.0Mar 2022View details →
zenodo52/100

Methane concentrations and oxidation rates in land-terminating glacial runoff: measurements from three glacial rivers and a paraglacial lake in Iceland and a literature review

<div> <p>This dataset contains methane measurements from Icelandic lakes and rivers during the summer of 2018 and 2019. This includes data from net methane oxidation assays with sediment and overlying water from one paraglacial lake and one glacial river, and surface methane concentration data from grab samples in 3 glacial streams and 15 Icelandic lakes (1 of which is paraglacial).&nbsp; The dataset also contains methane concentration data from a synthesis of relevant aquatic ecosystems, used to compare against the original measurements collected.&nbsp;</p> </div> <div> <p>Data and Literature Review Synthesis is supplement to Strock et al. 2024 <em>Oxidation is a potentially significant methane sink in land-terminating glacial runoff</em> published in Nature Scientific Reports.&nbsp;</p> <div> <p>This study was funded by: National Geographic Society Changing Polar Systems grant (CP4-162R-18); In-kind support from the U.S. Geological Survey; Dickinson College Research and Development; Churchill Exploration Fund at Dickinson College&nbsp;</p> </div> </div>

opencc-by-4.0Aug 2024View details →
zenodo48/100

Dataset for: Water column dynamics control nitrite-dependent anaerobic methane oxidation by Candidatus 'Methylomirabilis' in stratified lake basins

<p>Dataset containing&nbsp;treated 16S rRNA amplicon sequence data, accompanying the manuscript &quot;Water column dynamics control nitrite-dependent anaerobic methane oxidation by Candidatus &lsquo;Methylomirabilis&rsquo; in stratified lake basins&quot;&nbsp;</p> <p>Files:&nbsp;</p> <p>- Mapping file</p> <p>-&nbsp;ASV table</p> <p>- Refseq file</p> <p>-Tree file</p> <p>- Relative abundances of dominant methanotrophs in the water column of Lake Lugano North Basin (used to create Fig. 6c)</p> <p>- Multi annual dataset of water chemistry data of the Lake Lugano North Basin</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Feb 2023View details →
zenodo48/100

Emissions of nitrous oxide and methane after field application of liquid organic fertilizers and biochar

<p>This dataset corresponds to the open access article &quot;Emissions of nitrous oxide and methane after field application of liquid organic fertilizers and biochar&quot; published in&nbsp;Agriculture, Ecosystems &amp; Environment&nbsp;(<a href="https://doi.org/10.1016/j.agee.2023.108642">https://doi.org/10.1016/j.agee.2023.108642</a>) funded by the Swiss Federal Offices for the Environment (BAFU), Agriculture (BLW) and&nbsp;Energy (BFE).</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Jun 2023View details →
edi48/100

Baltimore Ecosystem Study: Soil atmosphere fluxes of carbon dioxide, nitrous oxide and methane, 1998 - ongoing

The Baltimore Ecosystem Study (BES) established a network of long-term permanent biogeochemical study plots in 1998. These plots provide long-term data on vegetation, soil and hydrologic processes in the key ecosystem types within the urban ecosystem. The network of study plots includes forest plots (upland and riparian), chosen to represent the range of forest conditions in the area and grass plots (to represent home lawns). Plots are instrumented with lysimeters (drainage and tension) to sample soil solution chemistry, time domain reflectometry probes to measure soil moisture, dataloggers to measure and record soil temperature, and trace gas flux chambers to measure the flux of carbon dioxide, nitrous oxide and methane from soil to the atmosphere. Measurements of in situ nitrogen mineralization, nitrification and denitrification were made at approximately monthly intervals from Fall 1998 - Fall 2000. Detailed vegetation characterization (all layers) was done in summer 1998 and 2015. Data from these plots has been published in Groffman et al. (2006, 2009), Groffman and Pouyat (2009), Savva et al. (2010), Costa and Groffman (2013), Duncan et al. (2013), Waters et al. (2014), Ni and Groffman (2018), Templeton et al. (2019). Literature Cited Costa, K.H. and P.M. Groffman. 2013. Factors regulating net methane flux in urban forests and grasslands. Soil Science Society of America Journal 77:850 - 855. Duncan, J. M., L. E. Band, and P. M. Groffman. 2013. Towards closing the watershed nitrogen budget: Spatial and temporal scaling of denitrification. Journal of Geophysical Research Biogeosciences 118:1-5; DOI: 10.1002/jgrg.20090 Groffman PM, Pouyat RV, Cadenasso ML, Zipperer WC, Szlavecz K, Yesilonis IC,. Band LE and Brush GS. 2006. Land use context and natural soil controls on plant community composition and soil nitrogen and carbon dynamics in urban and rural forests. Forest Ecology and Management 236:177-192. Groffman, P.M., C.O. Williams, R.V. Pouyat, L.E. Band and I.C.

openCC (other)Oct 2025View details →
edi48/100

Hubbard Brook Experimental Forest: Soil-atmosphere fluxes of carbon dioxide, nitrous oxide and methane on Watershed 1 and Bear Brook, 2002-2024

Soil atmosphere fluxes of the trace gases; carbon dioxide (CO2), nitrous oxide (N2O) and methane (CH4) have been measured at several locations at the Hubbard Brook Experimental Forest (HBEF) including 1) the "freeze" study reference plots that provide contrast between stands dominated (80%) by sugar maple versus yellow birch and low and high elevation areas, 2) the Bear Brook Watershed where trace gas sampling is coordinated with long-term monitoring of microbial biomass and activity and 3) watershed 1 where trace gas sampling locations were co-located with long-term microbial biomass and activity monitoring sites that are located near a subset of the lysimeter sites established for the calcium addition study on this watershed. This dataset contains the Watershed 1 and Bear Brook data. Freeze plot trace gas can be found in: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-hbr&identifier=251. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.

openCC (other)Sep 2025View details →
zenodo44/100

Sediment Properties Drive Spatial Variability of Potential Methane Production and Oxidation in Small Streams

<ul> <li>This dataset contains 20 data tables (Fig.2.csv, Fig.3.csv, data_PLS_stream-main-stem.csv, Fig.4_a.csv, data_PLS_subcatch.-stream-sect.csv, Fig.4_b.csv, Fig.5.csv, Fig.S1.csv, Fig.S2.csv, Fig.S3.csv, Fig.S4.csv, Fig.S5_a.csv, Fig.S5_b.csv, Fig.S6_a.csv, Fig.S6_b.csv, Fig.S6_c.csv, Fig.S6_d.csv, TableS1_data-adjustment.csv, TableS1_lit-data.csv, PMO_surface-water.csv), we separated our data tables in the respective figures/analyses presented in our paper</li> <li>We added the units to each column title of each respective data table</li> <li>Please see &quot;Metadata.pdf&quot; and our paper (same title as the dataset) for more information</li> </ul> <p>&nbsp;</p>

opencc-by-4.0Dec 2019View details →
zenodo44/100

Data archive for Anaerobic methane oxidation in a coastal oxygen minimum zone: spatial and temporal dynamics

<p>Data collected during annual sampling campaigns to the coastal oxygen minimum zone of Golfo Dulce, carried out in January-February 2018, 2019 and 2020. Methods and results are presented and discussed in Steinsd&oacute;ttir et al. 2022.&nbsp;Anaerobic methane oxidation in a coastal oxygen minimum zone: spatial and temporal dynamics. Environmental Microbiology, in press, doi: 10.1111/1462-2920.16003</p> <p>The content of files is as follows:</p> <p>nutrient_and_methane_concentrations.csv - Concentrations of methane, nitrite, nitrate, and ammonium.</p> <p>methane_oxidation_rates.csv - Rates of anaerobic methane oxidation.</p> <p>kinetics_of_anaerobic_methane_oxidation.csv&nbsp;- Kinetics of anaerobic methane oxidation, carried out in 2019.</p> <p>methylococcales.fa&nbsp;- Methylococcales 16S rRNA amplicon sequences</p> <p>methanofastidiosa.fa&nbsp;- Methanofastidiosa 16S rRNA amplicon sequences</p>

opencc-by-4.0Apr 2022View details →
zenodo40/100

Thermophilic methane oxidation is widespread in New Zealand geothermal fields

<p>This is processed data used for analysis in a manuscipt currently being prepared for publication.<br> Samples of soil or sediment were taken from geothermal fields in the Taupo Volcanic Zone, New Zealand;<br> methane oxidation was quantified; DNA was extracted from each sample for 16S rRNA gene sequencing.</p> <p>&nbsp;</p>

opencc-by-4.0Dec 2021View details →
zenodo40/100

Rates of greenhouse gas (carbon dioxide, methane and nitrous oxide) fluxes, denitrification-derived N2O and N2 fluxes and nitrification-derived N2O fluxes from salt marsh soils in Quebec, Canada and Louisiana, U.S. under ambient and elevated temperature and nutrient loading.

<p>Dataset used in&nbsp;<a href="https://link.springer.com/article/10.1007/s10533-023-01104-0?utm_source=rct_congratemailt&amp;utm_medium=email&amp;utm_campaign=oa_20231214&amp;utm_content=10.1007/s10533-023-01104-0#citeas">Elevated temperature and nutrients lead to increased N<sub>2</sub>O emissions from salt marsh soils from cold and warm climates</a>.</p> <p>The dataset contains fluxes calculated from headspace gas samples taken over a 24 hour period from intact soil cores, as well as corresponding environmental data. Intact soil cores (0-15 cm depth, 2.5 cm diameter) were taken at five sampling locations along a 20 m transect using a soil auger or piston corer. Samples were collected along a transect in four marsh sites in Quebec, Canada (La Pocati&egrave;re: 47&deg;22'24.7"N 70&deg;03'26.3"W) and Louisiana, U.S. (Barataria Basin: 29&deg;33'47.3"N 90&deg;04'22.8"W and 29&deg;29'52.2"N 89&deg;55'00.2"W) from two vegetation types (<em>Sporobolus alterniflorus</em> formerly known as <em>Spartina alterniflora </em>and<em> Sporobolus pumilus</em> formerly known as<em> Spartina patens</em>). In Quebec, the two vegetation zones were in the same marsh whereas in Louisiana two separate marshes, dominated by the relevant vegetation, were chosen. Soil samples were collected on the 20-21<sup>st</sup> July 2021 from Louisiana and the 9-10<sup>th</sup> August 2021 from Quebec. Environmental data was collected including <em>in-situ</em> soil temperature and salinity, and gravimetric soil moisture, extractable soil dissolved organic carbon (DOC), extractable soil total dissolved nitrogen (TDN), extractable soil nitrate, extractable soil ammonium, extractable soil soluble reactive phosphate, soil total carbon, soil total nitrogen, soil carbon to nitrogen ratio, soil d<sup>13</sup>C and soil d<sup>15</sup>N determined from additional 0-15 cm core samples. This project has received funding from the European Union&rsquo;s Horizon 2020 Research and Innovation Programme under Grant Agreement no. 838296, a NSERC Discovery Grant and a Natural Environment Research Council grant number (NE/T012323/1).</p> <p>Stable <sup>15</sup>N tracers were added to the intact soil cores so that at each location, at each treatment level (ambient and elevated, described below), there was one core receiving no tracer for greenhouse gas fluxes, one core receiving <sup>15</sup>N-NO<sub>3</sub><sup>‑ </sup>for denitrification rates and one core receiving <sup>15</sup>N-NH<sub>4</sub><sup>+</sup> for nitrification rates. The cores were incubated at ambient temperature (16 ℃ and 28.1 ℃ for Quebec and Louisiana, respectively) and nutrient concentrations (3.2 NO<sub>3</sub><sup>-</sup>, 2.0 NH<sub>4</sub><sup>+</sup>; 2.9 NO<sub>3</sub><sup>-</sup>, 2.5 NH<sub>4</sub><sup>+</sup>; 0.5 NO<sub>3</sub><sup>-</sup>, 7.3 NH<sub>4</sub><sup>+ </sup>and 5.7 NO<sub>3</sub><sup>-</sup>, 2.8 NH<sub>4</sub><sup>+</sup> mg g wet soil<sup>-1</sup> for Quebec <em>S. alterniflorus</em>, Quebec <em>S. pumilus</em>, Louisiana <em>S. alterniflorus</em> and Louisiana <em>S. pumilus</em>, respectively), and elevated temperature (ambient temperature +5 ℃) and nutrient concentration (double ambient concentration). Gas samples were collected from the headspace of 0-15 cm intact cores in a 20 cm high PVC pipe, capped at the top and bottom to create a 5 cm headspace. Gas samples were analysed for greenhouse gases (GHGs: N<sub>2</sub>O, CH<sub>4</sub>, CO<sub>2</sub>) and <sup>15</sup>N in denitrification-derived N<sub>2</sub>O, denitrification-derived N<sub>2</sub> and nitrification-derived N&shy;<sub>2</sub>O.</p> <p>Soil temperature (YSI 30, Baton Rouge, USA or DeltaTrak 11050, Pleasanton, USA) and porewater salinity (YSI 30, Baton Rouge, USA or portable ATC refractometer) were measured in-situ or in the laboratory using the portable refactometer.&nbsp;Additional soil samples were used for multiple analyses; one subsample was extracted with ultrapure water (18.2 M&Omega;) for DOC and TDN analysis, one subsample was extracted with 2M KCl for NO<sub>3</sub><sup>-</sup> and NH<sub>4</sub><sup>+</sup>, one subsample was extracted with Olsen-P solution (0.5 M NaHCO<sub>3</sub>, pH 8.5), for soluble reactive phosphate analysis and one subsample was weighed and dried for soil moisture and then finely ground and analysed for total carbon, total nitrogen, d<sup>13</sup>C and d<sup>15</sup>N.</p> <p>N<sub>2</sub>O, CH<sub>4</sub> and CO<sub>2</sub> concentrations were measured in the gas samples using a gas chromatograph interfaced with a PAL3 autosampler&nbsp;(Agilent 7890A, Agilent Technologies Ltd, USA) fitted with a flame ionisation detector (FID) for CH<sub>4</sub> analysis and a micro electron capture detector (mECD) for N<sub>2</sub>O analysis. CO<sub>2</sub> was methanised to CH<sub>4</sub> before analysis on the FID. The instrument precision as the relative standard deviation was &lt; 5 % for all of the gases, while the minimum detectable concentration difference (MDCD) was 9 ppb N<sub>2</sub>O, 72 ppb CH<sub>4 </sub>and 31 ppm CO<sub>2</sub>. Potential GHG fluxes were calculated from the linear portion or where the highest production was observed in the concentration-time series ( https://doi.org/10.2134/jeq2003.2436). If fluxes were below the MDCD they were set to zero see&nbsp;(https://doi.org/10.1002/2017JG003783). The <sup>15</sup>N content of the N<sub>2</sub> and N<sub>2</sub>O was determined using a continuous flow isotope ratio mass spectrometer (Elementar Isoprime PrecisION; Elementar Analysensysteme GmbH, Hanau, Germany) coupled with a trace-gas pre-concentrator inlet with autosampler (isoFLOW GHG; Elementar Analysensysteme GmbH, Hanau, Germany), with a standard deviation of d<sup>15</sup>N &lt; 0.05 %. Extractable dissolved organic carbon and total dissolved nitrogen were analysed in soil extractant (ultrapure water 18.2 M&Omega;, 7:1 of extractant to soil) on a TOC/TDN analyser (TOC VCSn +&nbsp;TMN-1, Shimadzu, Kyoto, Japan), with 50 mg C l<sup>-1</sup> and 10 mg l<sup>-1</sup> standards resulting in accuracy and precision of 0.3 and &plusmn;0.3 mg C l<sup>-1</sup>, and 0.5 and &plusmn;0.3 mg N l<sup>-1</sup>, respectively. Extractable nitrate+nitrite (assumed to be nitrate) and ammonium were analysed in soil extractant (2M KCl, 5:1 of extractant to soil) using a microplate reader and methods in Sims et al., 1995 (<a href="https://doi.org/10.1080/00103629509369298">https://doi.org/10.1080/00103629509369298</a>) with a limit of detection of 0.1 ppm and accuracy of &plusmn;5 %. Extractable phosphate was analysed in soil extractant (Olsen-P solution 0.5M NaHCO&shy;<sub>3</sub>, pH 8.5, 10:1 of extractant to dry soil) using a microplate reader and methods in Jeannotte et al., 2004 (https://doi.org/10.1007/s00374-004-0760-4) with a limit of detection of 1 mg P l<sup>-1</sup> and accuracy of &plusmn;6 %. Soil total carbon, total nitrogen, d<sup>13</sup>C and d<sup>15</sup>N analysis was performed using a continuous flow isotope ratio mass spectrometer (Elementar Isoprime PrecisION; Elementar Analysensysteme GmbH, Hanau, Germany) coupled with an elemental analyser (EA) inlet (vario PYRO cube; Elementar Analysensysteme GmbH, Hanau, Germany). The precision was &lt; 5 % for both C and N and the precision as a standard deviation was &lt; 0.06 % for both d<sup>13</sup>C and d<sup>15</sup>N. Results from the experiments were entered into an Excel spreadsheet for ingestion into the Zenodo data repository.</p>

opencc-by-4.0Feb 2023View details →
zenodo40/100

Dataset for "Single-Step Selective Oxidation of Methane by Iron-Oxo Species in the Metal-Organic Framework MFU-4l"

<p>Dataset belonging to publication &quot;Single-Step Selective Oxidation of Methane by Iron-Oxo Species in the Metal-Organic Framework MFU-4l&quot;</p>

opencc-by-4.0Jul 2022View details →
zenodo40/100

Computational Screening of Supported Metal Oxide Nanoclusters for Methane Activation: Insights into Homolytic versus Heterolytic C-H Bond Dissociation

<p>Optimized geometries&nbsp;(in XYZ format) of methane activation over supported [M<sub>1</sub>OM<sub>2</sub>]<sup>2+</sup> complexes where M<sub>1</sub>, M<sub>2</sub> = Cu, Zn, Ni, Co, Fe, and Mn. &#39;SM&#39; in the file name stands for spin multiplicity. Calculations were performed using Gaussian 16 and M06-L functional. The def2-SVP basis set was used for C, O, H, whereas the def2-TZVP basis set was employed for all metal elements.&nbsp;</p>

opencc-by-4.0May 2023View details →
zenodo40/100

Anaerobic Methane Oxidation is Quantitatively Important in Deeper Peat Layers of Boreal Peatlands: Evidence from in situ Stable Isotopes Depth Profiles, Anaerobic Incubations, and Microbial Communities

<p>Dataset contains complete result of laboratory anaerobic incubations with peat samples from 3 West Siberian peatlands.</p> <p>Before the incubation, the peat samples were thoroughly mixed to ensure homogeneity. Aliquots (140 &plusmn; 1 g) were mixed with distilled water at a ratio of 1:2 by weight, and then placed into sterile 500 ml glass bottles, flushed with pure argon (99.9999%, Voessen, Russia) for 5 min to remove any oxygen and sealed with butyl rubber septa to maintain anaerobic conditions. The bottles were kept at +5&deg;C for 1 day to allow the equilibration between the peat and the headspace. Then bottles were again thoroughly flushed with argon for 5 min, sealed, and an additional 5 ml of argon was added to prevent air diffusion into the bottle headspace. The incubation was performed in two different ways: i) unamended control, and ii) amended with 10 ml of CH<sub>3</sub>F to inhibit acetotrophic methanogenesis. Peat samples from the depths of 15-20 and 40-50 cm were incubated at 15&deg; and 10&deg;C, respectively, for a period of 60 days, whereas deeper peat samples were incubated at 5&deg;С, representing the temperature of the deeper peat layers of Mukhrino bog during the snow-free period for 150 days. Gas (1 mL for Н<sub>2</sub>, CH<sub>4</sub> and CO<sub>2</sub> concentration, 1 mL for stable isotope compositions) and liquid (1 mL for organic acids) samples were taken for analysis every two weeks after manually shaking the bottles for approximately 5 s to equilibrate the gaseous and aqueous phases. At the end of the incubation, methane headspace concentrations ranged from 1 to 3 % for deeper samples. The incubations with and without CH<sub>3</sub>F addition were carried out in three replicates for samples from Mukhrino bog and in two replicates for Chistoe and Lempino bogs. Net methane and CO<sub>2</sub> production were calculated from the gas concentrations, the volume of the gas space, and the water volume using the ideal gas law. Gas solubility was calculated using Henry&rsquo;s law. The reported net methane and CO<sub>2</sub> production are the averages of 2-3 replicates.</p> <p>See further details in a paper with the same title and the first author.</p>

opencc-by-4.0Aug 2023View details →
edi40/100

Plant-mediated root methane emissions and oxidation in a thermokarst bog complex in the Bonanza Creek LTER Experimental Forest I - Standard Oxic Methane Fluxes 2015

Vascular plants are important in the wetland methane cycle but their effect on production, oxidation, and transport has high uncertainty, limiting our ability to predict emissions. Vegetation operated on top of baseline methane emissions, which varied with proximity to the thawing permafrost margin. Emissions from vegetated plots increased over the season, resulting in cumulative seasonal methane emissions that were 4.1-5.2 g m-2 season-1 greater than unvegetated plots. Mass balance calculations signify these greater emissions were due to increased methane production (3.0-3.5 g m-2 season-1) and decreased methane oxidation (1.1-1.6 g m-2 season-1). Minimal oxidation occurred along the plant-transport pathway and oxidation was suppressed outside the plant pathway. Our data indicate suppression of methane oxidation was stimulated by root exudates fueling competition among microbes for electron acceptors. Root exudates are known to fuel methane production and our work provides evidence they also decrease methane oxidation. This dataset contains the 2015 weekly oxic methane flux from treatment plots within a bog complex in the Bonanza Creek LTER. Treatments include natural-vegetation, simulated-aerenchyma, and sphagnum-only. No updates are planned.

openOpenSep 2020View details →
edi40/100

Plant-mediated root methane emissions and oxidation in a thermokarst bog complex in the Bonanza Creek LTER Experimental Forest II - Non-standard Anoxic Methane Fluxes and Associated Standard Oxic Fluxes 2015

Vascular plants are important in the wetland methane cycle but their effect on production, oxidation, and transport has high uncertainty, limiting our ability to predict emissions. Vegetation operated on top of baseline methane emissions, which varied with proximity to the thawing permafrost margin. Emissions from vegetated plots increased over the season, resulting in cumulative seasonal methane emissions that were 4.1-5.2 g m-2 season-1 greater than unvegetated plots. Mass balance calculations signify these greater emissions were due to increased methane production (3.0-3.5 g m-2 season-1) and decreased methane oxidation (1.1-1.6 g m-2 season-1). Minimal oxidation occurred along the plant-transport pathway and oxidation was suppressed outside the plant pathway. Our data indicate suppression of methane oxidation was stimulated by root exudates fueling competition among microbes for electron acceptors. Root exudates are known to fuel methane production and our work provides evidence they also decrease methane oxidation. This dataset contains the 2015 weekly anoxic methane flux from treatment plots within a bog complex in the Bonanza Creek LTER. Anoxic measurements used with oxic measurements to calculate the fraction of methane oxidized. Treatments include natural-vegetation, simulated-aerenchyma, and sphagnum-only. No updates are planned.

openOpenSep 2020View details →
edi40/100

Plant-mediated root methane emissions and oxidation in a thermokarst bog complex in the Bonanza Creek LTER Experimental Forest III - Non-standard Dark Methane Fluxes and Associated Standard Oxic Fluxes 2015

Vascular plants are important in the wetland methane cycle but their effect on production, oxidation, and transport has high uncertainty, limiting our ability to predict emissions. Vegetation operated on top of baseline methane emissions, which varied with proximity to the thawing permafrost margin. Emissions from vegetated plots increased over the season, resulting in cumulative seasonal methane emissions that were 4.1-5.2 g m-2 season-1 greater than unvegetated plots. Mass balance calculations signify these greater emissions were due to increased methane production (3.0-3.5 g m-2 season-1) and decreased methane oxidation (1.1-1.6 g m-2 season-1). Minimal oxidation occurred along the plant-transport pathway and oxidation was suppressed outside the plant pathway. Our data indicate suppression of methane oxidation was stimulated by root exudates fueling competition among microbes for electron acceptors. Root exudates are known to fuel methane production and our work provides evidence they also decrease methane oxidation. This dataset contains the 2015 weekly anoxic control methane flux from treatment plots within a bog complex in the Bonanza Creek LTER. Anoxic control measurements used to assess the effect of the anoxic fluxes on results. Treatments include natural-vegetation, simulated-aerenchyma, and sphagnum-only. No updates are planned.

openOpenSep 2020View details →
edi40/100

Plant-mediated root methane emissions and oxidation in a thermokarst bog complex in the Bonanza Creek LTER Experimental Forest IV - Oxic and Anoxic Methane Fluxes on Isolated Carex Plants 2015

Vascular plants are important in the wetland methane cycle but their effect on production, oxidation, and transport has high uncertainty, limiting our ability to predict emissions. Vegetation operated on top of baseline methane emissions, which varied with proximity to the thawing permafrost margin. Emissions from vegetated plots increased over the season, resulting in cumulative seasonal methane emissions that were 4.1-5.2 g m-2 season-1 greater than unvegetated plots. Mass balance calculations signify these greater emissions were due to increased methane production (3.0-3.5 g m-2 season-1) and decreased methane oxidation (1.1-1.6 g m-2 season-1). Minimal oxidation occurred along the plant-transport pathway and oxidation was suppressed outside the plant pathway. Our data indicate suppression of methane oxidation was stimulated by root exudates fueling competition among microbes for electron acceptors. Root exudates are known to fuel methane production and our work provides evidence they also decrease methane oxidation. This dataset contains 2015 monthly methane fluxes from isolated Carex plants in a bog complex in the Bonanza Creek LTER. Isolated plant fluxes were used to partition the flux from the plant mediated pathway.

openOpenSep 2020View details →
edi40/100

Plant-mediated root methane emissions and oxidation in a thermokarst bog complex in the Bonanza Creek LTER Experimental Forest V - Raw Microbial Community Analysis Data 2015

Vascular plants are important in the wetland methane cycle but their effect on production, oxidation, and transport has high uncertainty, limiting our ability to predict emissions. Vegetation operated on top of baseline methane emissions, which varied with proximity to the thawing permafrost margin. Emissions from vegetated plots increased over the season, resulting in cumulative seasonal methane emissions that were 4.1-5.2 g m-2 season-1 greater than unvegetated plots. Mass balance calculations signify these greater emissions were due to increased methane production (3.0-3.5 g m-2 season-1) and decreased methane oxidation (1.1-1.6 g m-2 season-1). Minimal oxidation occurred along the plant-transport pathway and oxidation was suppressed outside the plant pathway. Our data indicate suppression of methane oxidation was stimulated by root exudates fueling competition among microbes for electron acceptors. Root exudates are known to fuel methane production and our work provides evidence they also decrease methane oxidation. This dataset contains 2015 results from monthly DNA analyses taken on cores from natural conditions in a bog complex in the Bonanza Creek LTER.

openOpenSep 2020View details →
edi40/100

Plant-mediated root methane emissions and oxidation in a thermokarst bog complex in the Bonanza Creek LTER Experimental Forest VI - Raw Oxygen Injection Experiment Data 2015

Vascular plants are important in the wetland methane cycle but their effect on production, oxidation, and transport has high uncertainty, limiting our ability to predict emissions. Vegetation operated on top of baseline methane emissions, which varied with proximity to the thawing permafrost margin. Emissions from vegetated plots increased over the season, resulting in cumulative seasonal methane emissions that were 4.1-5.2 g m-2 season-1 greater than unvegetated plots. Mass balance calculations signify these greater emissions were due to increased methane production (3.0-3.5 g m-2 season-1) and decreased methane oxidation (1.1-1.6 g m-2 season-1). Minimal oxidation occurred along the plant-transport pathway and oxidation was suppressed outside the plant pathway. Our data indicate suppression of methane oxidation was stimulated by root exudates fueling competition among microbes for electron acceptors. Root exudates are known to fuel methane production and our work provides evidence they also decrease methane oxidation. This dataset contains mo monthly 2015 oxygen decay rates from unmanipulated conditions as well as in plots where vascular vegetation was removed.

openOpenSep 2020View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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

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