Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
48
datasets available to search
ShareScore release 0.9.0
Dataset results
48 results for “N2O emissions”
Data from: Nitrifier controls on soil NO and N2O emissions in three chaparral ecosystems under contrasting atmospheric N inputs
<p>Nitrogen saturation theory predicts high rates of atmospheric N deposition can increase ecosystem N availability and stimulate ecosystem N losses via soil nitric oxide (NO; an air pollutant at high concentrations) and nitrous oxide (N<sub>2</sub>O; a strong greenhouse gas) emissions. However, it remains unclear whether theories developed in mesic ecosystems apply to drylands, where plant and soil N availability are not always coupled in dry soils. NO and N<sub>2</sub>O are often produced in soils during the oxidation of ammonia by ammonia oxidizing archaea (AOA) or ammonia oxidizing bacteria (AOB) during nitrification. AOB are thought to emit more NO and N<sub>2</sub>O during nitrification than AOA and may be favored in N-rich relative to N-limited environments, suggesting high rates of atmospheric N deposition might produce positive feedback sending more of the N to the atmosphere. To assess how high rates of atmospheric N deposition affect AOB- and AOA-derived N trace gas emissions, we selectively inhibited AOA and AOB nitrifiers and measured NO and N<sub>2</sub>O emissions from soils collected from three dryland sites exposed to relatively low (3.8 kg ha<sup>-1 </sup>= Low N) or high (11.8 kg ha<sup>-1</sup> = High N1; 15.6 kg ha<sup>-1</sup> = High N2) rates of atmospheric N inputs. We found that while the High N2 deposition site had the lowest AOA:AOB ratio (2.33 ± 0.57), consistent with expectations, this site did not emit the most NO and N<sub>2</sub>O. Rather, AOA emitted between 21–78% of the NO from our sites, with higher AOA-derived NO emissions from relatively coarse-textured soils in the Low N deposition site. In addition to nitrification, denitrification also contributed to NO and N<sub>2</sub>O emissions, especially in the Moderate N deposition site (where denitrification-derived NO and N<sub>2</sub>O emissions were 2.0 – 3.7 time greater than the other sites), which had finer textured soils that may favor denitrification. Interactions between soil texture and N availability, therefore, appears to be the primary mechanism determining whether atmospheric N deposition is retained in the ecosystem or reemitted to the atmosphere as NO or N<sub>2</sub>O.</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>
Divergent terrestrial responses of soil N2O emissions to different levels of elevated CO2 and temperature
Open the record for dataset details and reuse information.
Soil properties shape the heterogeneity of denitrification and N2O emissions across large-scale flooded paddy soils
Open the record for dataset details and reuse information.
Data from: Nitrous oxide (N2O) emissions from subsurface soils of agricultural ecosystems
Open the record for dataset details and reuse information.
A global meta-analysis of yield-scaled N2O emissions and its mitigation efforts for maize, wheat, and rice
Open the record for dataset details and reuse information.
Global soil moisture–atmosphere feedback and N2O emission dataset
Open the record for dataset details and reuse information.
Urbanization can accelerate climate change by increasing soil N2O emission while reducing CH4 uptake
Open the record for dataset details and reuse information.
Data from: Nitrifier controls on soil NO and N2O emissions in three chaparral ecosystems under contrasting atmospheric N inputs
Open the record for dataset details and reuse information.
Data from: Distinct N-cycling microbial communities contribute to microtopographic variation in soil N2O emissions
Open the record for dataset details and reuse information.
Biochar increases tree biomass in a managed boreal forest, but does not alter N2O, CH4, and CO2 emissions
Open the record for dataset details and reuse information.
Data from: Rapid nitrate reduction produces pulsed NO and N2O emissions following wetting of dryland soils
Open the record for dataset details and reuse information.
Soil N2O and NO emissions from an arid, urban ecosystem in central Arizona-Phoenix
Soil nitrogen (N) cycling and fluxes of N2O and NO in three land-use types across the metropolitan area of Phoenix, Arizona has been measured.Urbanization increased N2O emissions compared to native landscapes, primarily due to the expansion of fertilized and irrigated lawns. Fluxes of N2O from lawns ranged from 18 to 80 mg N m^(-2) h^(-1) and were significantly larger than managed xeric landscapes (2.5-22 mg N m^(-2) h^(-1)) and remnant desert sites within the urban core (3.7-14 mg N m^(-2) h^(-1)). In contrast, average NO fluxes from lawns were not significantly different from native desert when dry (6-80 mg N m^(-2) h^(-1); 5-16 mg N m^(-2) h^(-1) desert) and were lower than fluxes from deserts after wetting events. Furthermore, urbanization has significantly altered the temporal dynamics of NO emissions by replacing pulse-driven desert ecosystems with year-round irrigated, managed lawns. Short-term, pulse-driven emissions of NO from wetting of dry desert soils may reach 35% of anthropogenic emissions within a day after summer monsoon storms. If regional O3 production is NOx-limited during the monsoon season, fluxes from warm, recently wet arid soils may contribute to summer O3 episodes. .
Data from: Machine learning improves predictions of agricultural nitrous oxide (N2O) emissions from intensively managed cropping systems
<p><span>The potent greenhouse gas nitrous oxide (N</span><sub><span>2</span></sub><span>O) is accumulating in the atmosphere at unprecedented rates largely due to agricultural intensification, and cultivated soils contribute ~60% of the agricultural flux. Empirical models of N</span><sub><span>2</span></sub><span>O fluxes for intensively managed cropping systems are confounded by highly variable fluxes and limited </span><span><span>geographic coverage;</span></span><span> process-based biogeochemical models are rarely able to predict daily to monthly emissions with > 20% accuracy even with site-specific calibration. Here we show the promise for machine learning (ML) to significantly improve field-level flux predictions, especially when coupled with a cropping systems model to simulate unmeasured </span><span><span>soil</span></span><span> parameters. We used sub-daily N</span><sub><span>2</span></sub><span>O flux data from six years of automated flux chambers installed in a continuous corn rotation at a site in the upper U.S. Midwest (~3000 sub-daily flux observations), supplemented with weekly to biweekly manual chamber measurements (~1100 daily fluxes), to train an ML model that explained 65-89% of daily flux variance with very few input variables –soil moisture, days after fertilization, soil texture, air temperature, soil carbon, precipitation, and N fertilizer rate. When applied to a long-term test site not used to train the model, the model explained 38% of the variation observed in weekly to biweekly manual chamber measurements from corn, and 51% upon coupling the ML model with a cropping systems model that predicted daily soil N availability. </span><span><span>This represents a 2-3 times improvement over conventional process-based models and with substantially fewer input requirements.</span></span><span> This coupled approach </span><span><span>offers promise</span></span><span> for better predictions of agricultural N</span><sub><span>2</span></sub><span>O emissions and thus more precise global models and more effective </span><span><span>agricultural mitigation interventions.</span></span></p>
Observed monthly N2O emission dataset used for model carlibaration and validation
<p>The N<sub>2</sub>O emission dataset for calibration sites was extracted from the published figures and tables using GetData Graph Digitizer version 2.24; the other information such as biome, geographic location, experimental period, soil organic carbon content, soil pH and soil texture was selected from corresponding literature. If the data related to soil was not avaliable, we extracted them from the soil database(IGBP-DIS)</p>
Database for N2O emissions after EOM application
Open the record for dataset details and reuse information.
Data from: Invasion of Hawaiian rainforests by an introduced amphibian predator and N2-fixing tree increases soil N2O emissions
Open the record for dataset details and reuse information.
Data from: Hotspots of soil N2O emission enhanced through water absorption by plant residue
Open the record for dataset details and reuse information.
Data from: Machine learning improves predictions of agricultural nitrous oxide (N2O) emissions from intensively managed cropping systems
Open the record for dataset details and reuse information.
Data from: Water-conscious management strategies reduce per-yield irrigation and soil emissions of CO2, N2O, and NO in high-temperature forage cropping systems.
Open the record for dataset details and reuse information.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.