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84 results for “greenhouse gas emissions”
Arsenic immobilization and greenhouse gas emission depend on quantity and frequency of nitrogen fertilization in paddy soil
<p><span>Nitrogen (N) fertilization in paddy soils decreases arsenic mobility and methane emissions. However, it is unknown how quantity and frequency of N fertilization affects the interlinked redox reactions of iron(II)-driven denitrification, iron mineral (trans-)formation with subsequent arsenic (im-)mobilization, methane and nitrous oxide emissions, and how this links to microbiome composition. Thus, we incubated paddy soil from Vercelli, Italy, over 129 days and applied nitrate fertilizer at different concentrations (control: 0, low: ~35, medium: ~100, high: ~200 mg N kg<sup>-1 </sup>soil<sup>-1</sup>) once at the beginning and after 49 days. In the high N treatment, nitrate reduction was coupled to oxidation of dissolved and solid-phase iron(II), while naturally occurring arsenic was retained on iron minerals due to suppression of reductive iron(III) mineral dissolution. In the low N treatment, 40 µg L<sup>-1</sup> of arsenic was mobilized into solution after nitrate depletion, with 69% being immobilized after a second nitrate application. In the non-fertilized control, concentrations of dissolved arsenic were as high as 76 µg L<sup>-1</sup>, driven by mobilization of 36% of the initial mineral-bound arsenic. Generally, N fertilization led to 1.5-fold higher total GHG emissions (sum of CO<sub>2</sub>, CH<sub>4</sub> and N<sub>2</sub>O as CO<sub>2</sub> equivalents), 158-fold higher </span><span>N<sub>2</sub>O</span><span>, and 7.5-fold lower CH<sub>4</sub> emissions compared to non-fertilization. On day 37, <em>Gallionellaceae</em>, <em>Comamonadaceae</em> and <em>Rhodospirillales</em> were more abundant in the high N treatment compared to the non-fertilized control, indicating their potential role as key players in nitrate reduction coupled to iron(II) oxidation. The findings underscore the dual effect of N fertilization, immobilizing arsenic in the short-term (low/medium N) or long-term (high N), while simultaneously increasing N<sub>2</sub>O and lowering CH<sub>4</sub> emissions. This highlights the significance of both the quantity and frequency of N fertilizer application in paddy soils. </span></p>
Unraveling the role of soil acidity alleviation strategies on greenhouse gas emissions under conventional and no-tilled system
<p>Supplementary Material </p>
Data and code - Reducing greenhouse gas emissions from North American soybean production
<p>Database and R code for the figures and tables in the article "Reducing greenhouse gas emissions from North American soybean production", <em>Nat. Sust. </em>(2024).</p>
Dataset article "Management and restoration of Mediterranean inland saline lakes to reduce greenhouse gas emissions"
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Dataset for the article "Alnus viridis: an encroaching species with valuable nutritional value reducing livestock greenhouse gas emissions"
<p>Both files provide the data used for the article "<em>Alnus viridis</em>: an encroaching species with valuable nutritional value reducing livestock greenhouse gas emissions" </p> <ol> <li>"Data_file_1" provides the measured components of A. viridis, i.e. the chemical composition (micro/macro-elements, fibre fractions, ash), the phenolic content and the functional traits. </li> <li>"Data_file_2" provides the results of the in vitro measurements on organic matter digestibility and gas production.</li> </ol>
Datasets for crop, soil properties and soil greenhouse gas emissions from an intercropping experiment with broccoli and fava bean
<p>Datasets with all properties measured during three crop cycles of an experiment developed to assess the efficiency of intercropping between broccoli and fava bean to enhance crop productivity, soil health and carbon sequestration and storage and reduce soil greenhouse gas emissions and the use of external inputs. </p> <p>We compared a broccoli monocrop (<em>Brassica oleracea var. italica</em> Plenck), a fava bean monocrop (<em>Vicia faba</em> L.) and different broccoli-fava bean intercropping systems in three winter crop cycles: 2018/2019, 2019/2020 and 2020/2021. The intercropping systems were: i) mixed intercropping (alternation within the same row of broccoli and fava bean plants), row intercropping 1:1 (combination of alternate rows of broccoli - fava bean) and row intercropping 2:1 (combination of two rows of the broccoli crop and one row of fava bean).</p>
Data from: Treating cattle with antibiotics affects greenhouse gas emissions, and microbiota in dung and dung beetles
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Data from: Reported U.S. Wild Game Consumption and Greenhouse Gas Emissions Savings
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Global greenhouse gas emissions from agriculture: pathways to sustainable reductions
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Energy consumption and greenhouse gas emissions data of activated carbon production using different biomass
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Comparative aquatic greenhouse gas emission rates across multiple land-use types and along impounded river systems
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Data from MECO(n) model simulations on "Urban greenhouse gas emissions from the Berlin area: A case study using airborne CO2 and CH4 in situ observations in summer 2018"
<p>This tar-files contain the results of the MECO(n) model, which are published in</p> <p>T. Klausner, M. Mertens, H. Huntrieser, M. Galkowski, G. Kuhlmann, R. Baumann, A. Fiehn, P. Jöckel, M. Pühl, and A. Roiger: Urban greenhouse gas emissions from the Berlin area: A case study using airborne CO<sub>2</sub> and CH<sub>4</sub> in situ observations in summer 2018, Elementa: Science of the Anthropocene (Ref.: Ms. No. ELEMENTA-D-19-00074R1), 2019.</p>
Optimization of global crop distribution could reduce greenhouse gas emissions by one third but requires expanding international trade
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Data from: Driving factors on greenhouse gas emissions in permafrost region of Daxing'an Mountains, Northeast China
<p>Permafrost regions are an important source of greenhouse gases. However, the effects of different permafrost wetland types on greenhouse gas emissions and the driving factors are still unclear in the permafrost region. Here, we selected three typical permafrost wetlands from the Daxing'an Mountains to investigate the effects of permafrost wetland types on greenhouse gas emissions. <span class="fontstyle71"><span>The cumulative </span></span>N<sub>2</sub>O, CO<sub>2</sub>, and CH<sub>4</sub> emissions were 84–122, 657,942–1,446,121, and 173–16,924 kg km<sup>−2</sup>, respectively. The linear mixed effects model indicated that N<sub>2</sub>O emissions were significantly affected by the NO<sub>3</sub><sup>−</sup>-N content, whereas CO<sub>2</sub> emissions were mainly driven by soil temperature, water table level, and NO<sub>3</sub><sup>−</sup>-N content. CH<sub>4</sub> emissions were affected by soil temperatue and water table level. Permafrost wetland types significantly affected the average and cumulative N<sub>2</sub>O, CO<sub>2</sub>, and CH<sub>4</sub> emissions. The cumulative N<sub>2</sub>O emissions were highest in the <i>Larix gmelinii - Carex</i> <i>appendiculata </i>(<i>LC</i>) wetland and lowest in the <em>Betula fruticosa Pall. </em>(<em>B</em>) wetland<span class="fontstyle71"><span>, driven by </span></span>NO<sub>3</sub><sup>−</sup>-N content. The cumulative CO<sub>2</sub> emissions were highest in the (<em>B</em>) wetland and lowest in the <em>L. gmelinii</em> - Ledum palustre var. dilatatum (<em>LL</em>) wetland. The cumulative CH<sub>4</sub> emissions from <span class="fontstyle71"><span><i>B</i></span></span><span class="fontstyle71"><span> wetland were significantly higher than those from </span></span><i>LL</i> and <i>LC</i> wetlands. The differences in cumulative CO<sub>2</sub> and CH<sub>4 </sub>emissions were driven by the water table level. Our findings indicate that NO<sub>3</sub><sup>−</sup>-N content affect the spatial-temporal variation of N<sub>2</sub>O emissions, whereas water table level influence the spatial-temporal variation of CO<sub>2</sub> and CH<sub>4</sub> emissions in the permafrost region of the Daxing'an Mountains.</p>
Supplementary data for Life-cycle assessment shows that retrofitting coal-fired power plants with fuel cells will substantially reduce greenhouse gas emissions
<p>This dataset contains supplementary data for "Life-cycle assessment shows that retrofitting coal-fired power plants with fuel cells will substantially reduce greenhouse gas emissions" DOI: <strong>10.1016/j.oneear.2022.03.009</strong>.</p> <p>S1-S10 contains life-cycle inventories of solid oxide fuel cells, molten carbonate fuel cells, phosphoric acid fuel cells, and proton exchange membrane fuel cells with either natural gas or wind-electrolysis hydrogen as a feedstock.</p> <p>S11-S13 contains technological information of coal-fired power plants in China</p>
Increasing global precipitation whiplash due to anthropogenic greenhouse gas emissions
<p>Supporting processed data for 'Increasing global precipitation whiplash due to anthropogenic greenhouse gas emissions' <br> </p>
Data from: Greenhouse gas emissions from reservoir water surfaces: a new global synthesis
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Data from: Driving factors on greenhouse gas emissions in permafrost region of Daxing’an Mountains, Northeast China
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ISLSCP II EDGAR 3 Gridded Greenhouse and Ozone Precursor Gas Emissions
The EDGAR (Emission Database for Global Atmospheric Research) database project is a comprehensive task carried out jointly by the National Institute for Public Health (RIVM) and the Netherlands Organization for Applied Scientific Research (TNO) and stores global emission inventories of direct and indirect greenhouse gases from anthropogenic sources including halocarbons and aerosols both on a per country and region basis as well as on a grid (see http://www.rivm.nl/edgar/). For the ISLSCP Initiative II data collection, gridded global annual anthropogenic emissions for the greenhouse gases CO2, CH4, N2O are provided on a 1.0 degree by 1.0 degree grid for the years 1970, 1980, 1990, and 1995 and for the tropospheric ozone precursor gases CO, NOx, NMVOC (Non-Methane Volatile Organic Compounds) and SO2 for the years 1990 and 1995. There are 2 *.zip data files with this data set.
Permafrost Degradation and Concomitant Hydrological Changes Dominated by Anthropogenic Greenhouse Gas Emissions in the Northeastern Tibetan Plateau
<h2>The result for</h2> <p><strong><span>Permafrost Degradation and Concomitant Hydrological Changes Dominated by Anthropogenic Greenhouse Gas Emissions in the Northeastern Tibetan Plateau</span></strong></p> <ul> <li> <p><strong>simulation Outputs </strong><br>out_year_with_ant.xlsx</p> </li> <li> <p><strong>Multi-Model Ensemble (MME) Outcomes</strong><br>The ensemble results of different forcing scenarios, providing comparative insights into the impacts of various external forcings.</p> </li> <li> <p><strong>Detection and Attribution Results Using Optimal Fingerprinting</strong><br>da.xlsx: Detection and attribution results obtained through the optimal fingerprinting method, identifying the influence of specific forcings on permafrost degradation and hydrological changes.</p> </li> </ul>
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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)
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.
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.