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.
271
datasets available to search
ShareScore release 0.7.1
Dataset results
271 results for “nitrous oxide”
Data from: Initial nitrous oxide, carbon dioxide, and methane costs of converting conservation reserve program grassland to row crops under no-till vs. conventional tillage
Open the record for dataset details and reuse information.
Dataset for: Indirect nitrous oxide emission factors of fluvial networks can be predicted by dissolved organic carbon and nitrate from local to global scales
Open the record for dataset details and reuse information.
Soil nitrous oxide emissions from global specialty crop systems
Open the record for dataset details and reuse information.
Global nitrous oxide emissions from livestock manure during 1890−2020: An IPCC Tier 2 inventory
Open the record for dataset details and reuse information.
Data for: Biological mitigation of soil nitrous oxide emissions by plant metabolites
Open the record for dataset details and reuse information.
Nitrous oxide dataset for East Qinghai-Tibet Plateau waterways
This dataset is a collation of 3-year direct measurement values of N2O concentrations and fluxes for East Qinghai-Tibet Plateau (EQTP) streams and rivers, along with information on location, hydrological, physical, and chemical conditions of the study sites. Given the rarity and high value of this EQTP data set, it will be very valuable for the next update to global riverine N2O flux estimates.
Rapid conversion of added nitrate to nitrous oxide and dinitrogen in northern forest soil
This data package contains the data from the following publication: Kulkarni, M.V., Yavitt, J.B., & Groffman, P.M. (2017). Rapid conversion of added nitrate to nitrous oxide and dinitrogen in northern forest soil. Geomicrobiology Journal 34(8): 670-676. 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.
Non linear nitrous oxide response to nitrogen fertilizer at the Kellogg Biological Station, Hickory Corners, MI (2007 to 2008)
Dataset Abstract A compilation of data from John Hoben’s thesis work. Six rates of nitrogen fertilizer (0-225 kg N ha-1) were broadcast and incorporated prior to planting on commercially farmed fields in Michigan at four farms and one experiment station. All sites were planted to corn and studied in 2007 and 2008. Site abbreviations are as follows: Kellogg Biological Station, KB; Mason, MA; Stockbridge, SB; Fairgrove, T1; Reese, T2. Please refer to the thesis (2009) and primary publication (2010) for additional information. Hoben, J. P.; Gehl, R. J.; Millar, N.; Grace, P. R.; Robertson, G. P., Nonlinear nitrous oxide (N2O) response to nitrogen fertilizer in on-farm corn crops of the US Midwest. Global Change Biology 2010, 17(2), 1140-1152. Hoben, J. P. 2009. On-farm nitrous oxide (N2O) response to nitrogen fertilizer in corn cropping systems. MS Thesis, Michigan State University, East Lansing, Michigan, USA. original data source http://lter.kbs.msu.edu/datasets/133
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>
Dinitrogen, nitrous oxide, and anaerobic ammonium oxidation for assessment of warming and ocean acidification impacts on unvegetated estuarine sediments
<p><span>Datasets are made publically available for publication with Communications Earth and Environment, associated with article: "Ocean acidification offsets the effect of warming on sediment denitrification and associated nitrous oxide production". </span><span>Dataset S1. N<sub>2</sub> data (Simone et al., - ds01), Dataset S2. N<sub>2</sub>O data (Simone et al., - ds02), Dataset S3. Anaerobic ammonium oxidation slurry data (Simone et al., - ds03).</span></p>
Nitrous oxide is the main product during nitrate reduction by a novel lithoautotrophic iron(II)-oxidizing culture from an organic-rich paddy soil
Open the record for dataset details and reuse information.
Data for the article "Nitrate driven eutrophication supports high nitrous oxide production and emission in coastal lagoons"
<p>The data file shows data on:</p> <ul> <li>bottom water temperature</li> <li>bottom water oxygen, NH4+, NO2-, NO3-, DIN, DIP, and chlorophyll a concentrations</li> <li>bottom water N:P ratio</li> <li>benthic N2O flux</li> <li>water-air N2O flux</li> <li>benthic O2, NO2-, NO3-, DIN, and DIP flux</li> </ul> <p>Samples were collected from three European lagoons (Curonian, Vistula and Oder) in 2021 to 2023. </p>
Nitrous oxide emission and grain yield in Chinese winter wheat-summer maize rotation: A meta-analysis
<p>Collected data for the meta-analysis of the N2O emissions and grain yields in Chinese winter wheat-summer maize rotation. The manuscript is submitted to Agronomy.</p>
Nitrogen addition, rather than altered precipitation, stimulates nitrous oxide emissions in an alpine steppe
<p>Anthropogenic-driven global change, including changes in atmospheric nitrogen (N) deposition and precipitation patterns, is dramatically altering N cycling in soil. How long-term N deposition, precipitation changes, and their interaction influence nitrous oxide (N<sub>2</sub>O) emissions remains unknown, especially in the alpine steppes of the Qinghai-Tibetan Plateau (QTP). To fill this knowledge gap, a platform of N addition (10 g m<sup>−2</sup> yr<sup>−1</sup>) and altered precipitation (± 50% precipitation) experiments was established in an alpine steppe of the QTP in 2013. Long-term N addition significantly increased N<sub>2</sub>O emissions. However, neither long-term alterations in precipitation nor the co-occurrence of N addition and altered precipitation significantly affected N<sub>2</sub>O emissions. These unexpected findings indicate that N<sub>2</sub>O emissions are particularly susceptible to N deposition in the alpine steppes. Our results further indicated that both biotic and abiotic properties had significant effects on N<sub>2</sub>O emissions. N<sub>2</sub>O emissions occurred mainly due to nitrification, which was dominated by ammonia-oxidizing bacteria, rather than ammonia-oxidizing archaea. Furthermore, the alterations in belowground biomass and soil temperature induced by N addition modulated N<sub>2</sub>O emissions. Overall, this study provides pivotal insights to aid the prediction of future responses of N<sub>2</sub>O emissions to long-term N deposition and precipitation changes in alpine ecosystems. The underlying microbial pathway and key predictors of N<sub>2</sub>O emissions identified in this study may also be used for future global-scale model studies.</p>
Dataset for paper "Seasonal isotopic and isotopomeric signatures of nitrous oxide produced microbially in a eutrophic estuary"
Open the record for dataset details and reuse information.
Nitrous oxide observations in the Potomac River
<p>This dataset contains observations of nitrous oxide concentration, nitrous oxide flux, nitrogen isotopes, and associated environmental parameters in the Potomac River, a tributary of Chesapeake Bay.</p> <p>Please see the paper below for details. </p> <p>Tang, W., Talbott, J., Jones, T., & Ward, B. B. (2024). Variable contribution of wastewater treatment plant effluents to downstream nitrous oxide concentrations and emissions. <em>Biogeosciences</em>, <em>21</em>(14), 3239-3250. <a href="https://doi.org/10.5194/bg-21-3239-2024">https://doi.org/10.5194/bg-21-3239-2024</a> </p>
Source data for figures in the main text of the publication: "Iron-catalyzed cooperative red-ox mechanism for the simultaneous conversion of nitrous oxide and nitric oxide"
<p>Source data for figures 2, 4, 5 and 6 present in the main text of the manuscript titled: "Iron-catalyzed cooperative red-ox mechanism for the simultaneous conversion of nitrous oxide and nitric oxide"</p>
How much is soil nitrous oxide emission reduced with biochar application? An evaluation of meta‐analyses
<p>This data file includes five datasets used to construct the following five figures.</p> <ul> <li>Fig. 1. Response ratios (RR) of biochar application on soil N<span class="font6"><sub>2</sub></span><span class="font5">O emissions from the meta-analyses and grand mean of RR and its 95% confident interval. Number on the right side is the total number of experiments used for RR calculation. <br></span> </li> <li>Fig. 2. Impacts of experimental setting including experiment type (a), ecosystem type (b), and experimental duration (c) on the response ratios (RR) of biochar application on soil N<span class="font6"><sub>2</sub></span><span class="font5">O emissions. Number on the right side is the total number of experiments used for RR calculation.</span> </li> <li>Fig. 3. Impacts of biochar properties including feedstock (a), pyrolysis temperature (b), pH (c), and C:N ratio (d) on the response ratios (RR) of biochar application on soil N<span class="font6"><sub>2</sub></span><span class="font5">O emissions. Number on the right side is the total number of experiments used for RR calculation.</span> </li> <li>Fig. 4. Impacts of soil properties including soil texture (a), soil organic carbon (SOC, b), C:N ratio (c), and soil pH (d) on the response ratios (RR) of biochar application on soil N<span class="font6"><sub>2</sub></span><span class="font5">O emissions. Number on the right side is the total number of experiments used for RR calculation.</span> </li> <li>Fig. 5. Impacts of agricultural practices including biochar application rate (a), type of fertilizer (b), and nitrogen (N) application rate (c) on the response ratios (RR) of biochar application on soil N<span class="font6"><sub>2</sub></span><span class="font5">O emission. Number on the right side is the total number of experiments used for RR calculation.</span> </li> </ul>
Nitrous oxide emissions from eroding high-center polygons in an Arctic coastal wetland, 2021.
<p>This data contains nitrous oxide (N<sub>2</sub>O) and carbon dioxide (CO<sub>2</sub>) fluxes from eroding polygon features located in a coastal wetland near Utqiaġvik, Alaska on the Barrow Environmental Observatory (BEO). Static chamber fluxes were measured with a Gasmet GT5000 Terra Fourier transform infrared (FTIR) greenhouse gas analyzer (GGA) and a clear, cylindrical polycarbonate chamber (50 cm height and 20cm diameter) in a closed system at a 1Hz sampling rate. The FTIR GGA is capable of measuring concentrations by scanning the full infrared spectrum and calculating the concentrations of each gas in the sample based on its absorption.Chamber collars were made of PVC (15 cm height and 20 cm diameter) and installed 3 days prior to greenhouse gas measurements at a depth of 10 cm. Fluxes were measured at 30 locations – 10 vegetated replicates and 20 unvegetated soil replicates – whenever weather permitted during July 2021 for a total of 263 measurements. Ancillary measurements included soil temperature, bulk density, thaw depth, soil water content, stable isotope ratios, and carbon to nitrogen (C:N) ratios. Soil water content, soil surface temperature, and thaw depth were measured at the time of each chamber measurement at the flux collar throughout the study period (n = 263). Soil water content was measured with a Fieldscout 300 TDR soil moisture meter. Soil surface temperature was measured with an infrared thermometer. Depth of thaw was measured with a small diameter metal rod. Bulk density was measured from soil samples from the top 15 cm of the soil column, collected at each collar location at the end of the study period, for a total of 30 samples. Soil samples were dried for 24 hours at 60 °C in a drying oven and results expressed as weighed per unit volume. </p> <p>Soil samples from the top 15 cm of the soil column were removed at both vegetated and unvegetated areas near where fluxes were measured using a handheld soil sampling corer (7 cm diameter, 15 cm height) at the end of the experiment. Soil samples consisted of four profiles with three depths for a total of 24 samples. Samples were then separated into 5 cm depth segments (to check relationship with depth) using a band saw, placed in a drying oven at 65 C for 48 hours, then homogenized with a vibratory ball mill. The abundance of <sup>15</sup>N, <sup>13</sup>C, and C:N ratios were measured using a continuous flow isotope ratio mass spectrometer (IRMS, Delta V Advantage, Thermo Fisher Scientific). A laboratory standard (USGS41, L-glutamic acid) was used as a reference material for the calibration of stable carbon and nitrogen measurements. Isotope values are reported in standard δ notation (‰) relative to Vienna PeeDee Belemnite (δ <sup>13</sup>C) and air-N2 (δ <sup>15</sup>N). </p> <p>Files in this repository:</p> <p>This dataset consists of four files: (1) 'chamber_fluxes.csv' contains measurements for individual flux data; (2) 'collar_means.csv' contains measurements averaged per collar location and include discrete bulk density measurements; (3) 'soil_content.csv' contains measurements of carbon content, nitrogen content, and isotope content; and (4) 'metadata.csv' contains a description of column headers and units.</p>
Nitrous Oxide in the Treatment of Acute Suicidal Ideation
ClinicalTrials.gov study NCT06636357. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
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.