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929 results for “nitrate”
Important contribution of N2O5 hydrolysis to the daytime nitrate in Xi'an, China during haze periods: isotopic analysis and WRF-Chem model simulation
<p>To quantify the contributions of major formation pathways to nitrate, a field observation, coupling with a WRF-Chem model simulation, was conducted in Xi’an, an inland megacity of China. Here is the dataset of ions, stable isotope compositions of nitrogen and oxygen of nitrate, T, RH and the results simulated by WRF-Chem model.</p>
Radiative Forcing of Nitrate Aerosols from 1975 to 2010 as Simulated by MOSAIC Module in CESM2-MAM4
<p>Netcdf outputs from CESM2 simulations for publication: Radiative Forcing of Nitrate Aerosols from 1975 to 2010 as Simulated by MOSAIC Module in CESM2-MAM4</p>
Southern Ocean Nitrate Estimates (SONE) Dataset
<p>The Southern Ocean Nitrate Estimates (SONE) is a 1x1 monthly gridded product of estimated ocean nitrate concentration from a neural network. The dataset spans 2004-2022, from the surface down to 2000m.</p> <p>'SONE-v1' is the original dataset used during the peer-review process.</p> <p>'SONE-v2' is the final dataset, same as SONE-v1, but salinity-normalized.</p>
PFAS and nitrate leaching from undisturbed soil columns receiving biosolids and mitigation potential of biochar
<p>Land application of biosolids recycles nutrients and reduces the need for commercial fertilizers. However, per- and polyfluoroalkyl substances (PFAS) may leach from biosolids, resulting in groundwater contamination. We measured PFAS leaching from land-applied biosolids through undisturbed soil column trials and evaluated the treatment potential of amending biosolids with biochar. Synthetic rainfall was applied weekly to undisturbed soil columns from four regions in Wisconsin, including two fields with a history of biosolids application, simulating annual precipitation. The treatments consisted of a control (soil only), soil amended with biosolids, and soil receiving a mixture of biosolids and biochar. Concentrations of total PFAS in leachate were significantly affected by soil location and site history, while only long chain PFAS concentrations were significantly affected by biosolids/biochar treatments. One-time application of biosolids may result in groundwater contamination, as PFAS concentrations in leachate exceeded the local groundwater standard (a combined perfluorooctanoic acid and perflourooctanesulfonic acid groundwater concentration of 20 ng L<sup>-1</sup>) at three locations. Legacy PFAS may pose a risk to human health years after biosolid application, as a control column from a site with an intensive history of biosolid application exceeded PFAS groundwater standards. Incorporation of biochar with biosolids during application mitigated PFAS (specifically from soils with elevated leaching potential) through significant reductions of C7 – C10 perfluoroalkyl carboxylic acids and C4, C6 – C8 perfluorosulfonic acids (40 to 64% reduction in measured Σ28 PFAS). Biochar may facilitate sustainable use of biosolids through mitigation of long-chain PFAS leaching, pending long-term field evaluation. </p>
Joint GW+NITRATES sky localization for S241125n
<p>In the map 754189311_c0_joint_zoom.png the blue, green and cyan lines are the 90% GW credible region, the 90 % GW+NITRATES credible region and the 50% GW+NITRATES credible region, respectively.</p>
Swift-BAT Response Files for NITRATES
<p>The response files used in the NITRATES search. </p> <p>resp_tabs.tar.gz - contains the photoelectric and Compton response files that were generated using detectors only in the mass model. The direct response. </p> <p>resp_tabs_ebins.tar.gz - same as resp_tabs.tar.gz except it uses only the 9 analysis energy bins</p> <p>comp_flor_resps.tar.gz - contains the Compton and fluorescence response files that were generated using the whole mass model. The indirect response. </p> <p>hp_flor_resps.tar.gz - contains the fluorescence only response files that were generated using the whole mass model. The indirect response.</p> <p>solid_angle_dpi.npy - file with the solid angle each detector is exposed to through the holes in the mask. Used for the diffuse model. </p> <p>rate_resps.tar.gz - contains a grid of spectral models folded through the response for the split rates analysis for a spectral norm of 1. This is for a grid of points in imx and imy.</p> <p>rate_resps_outFoV.tar.gz - the same as rate_resps.tar.gz except for the out of FoV grid points. </p>
Nitrate δ15N values and surface mass balance reconstructions from East Antarctica
<p>Geographic information, surface mass balance (SMB) data, and sub-photic zone (>0.3 m) nitrate concentration and nitrogen isotopic composition (δ15NNO3) for 135 sites across East Antarctica. This database was used to examine and define the relationship between δ15NNO3 and SMB in Antarctica as part of the SCADI (Snow Core Accumulation from Delta-15N Isotopes) and EAIIST (East Antarctic International Ice Sheet Traverse) projects. Of these 135 sites, 92 are newly reported here while the other site data were previously published and are cited accordingly. Snow bearing nitrate was sampled from snow pits and firn/ice cores at different dates depending on the original scientific campaign, but predominately between 2010 and 2020, with the earliest sampling occurring in 2004. Nitrate was later extracted from the snow, concentrated, and analyzed for δ15NNO3. Surface mass balance data comes from a combination of previous ground-based observations (e.g., stakes, ice core data) and the output from Modèle Atmosphérique Régional version 3.6.4 with European Centre for Medium-Range Weather Forecasts “Interim” re-analysis data (ERA-interim) data, adjusted for observed model SMB biases. Elevation data were extracted from the Reference Elevation Model of Antarctica (REMA, <a href="https://doi.org/10.5194/tc-13-665-2019">https://doi.org/10.5194/tc-13-665-2019</a>).</p> <p>Also contains nitrate concentration and isotopic (δ15NNO3) data, ice density, and surface mass balance estimates from the ABN1314-103 ice core. This 103 m long core was drilled beginning on 07 January 2014 as one of three ice cores at Aurora Basin North, Antarctica (-71.17, 111.37, 2679 m.a.s.l), in the 2013-2014 field season. The age-depth model for ABN1314-103 was matched through ion profiles from an annually-resolved model (ALC01112018) originally developed for one of the other ABN cores through seasonal ion and water isotope cycles and constrained by volcanic horizons. Each 1 m segment of the core was weighed and measured for ice density calculations, and then sampled for nitrate at 0.33 m resolution. Nitrate concentrations were taken on melted ice aliquots with ion chromatography, while isotopic analysis was achieved through bacterial denitrification and MAT 253 mass spectrometry after concentrating with anionic resin. Using the density data and the age-depth model’s dates for the top and bottom of each 1 m core segment, we reconstructed a history of surface mass balance changes as recorded in ABN1314-103. Additionally, we also estimated the effect of upstream topographic changes on the ice core’s surface mass balance record through a ground penetrating radar transect that extended 11.5 km against the direction of glacial ice flow. The modern SMB changes along this upstream transect were linked to ABN1314-103 core depths by through the local horizontal ice flow rate (16.2 m a-1) and the core’s age-depth model, and included here for comparative analysis. </p>
When Do Cover Crops Reduce Nitrate Leaching? A Global Meta-Analysis
<p>The document includes the dataset extracted from peer-reviewed publications on the effect of cover crops on nitrate leaching. The results and report corresponding to this dataset have been published as a review article entitled: " When Do Cover Crops Reduce Nitrate Leaching? A Global Meta-Analysis" <strong>DOI: </strong>10.1111/gcb.16269 in the Global Change Biology journal.</p>
Effects of nitrate and ammonium on assimilation of nitric oxide by Heterosigma akashiwo
<p>This data set includes 15-NO uptake rates, gene expression of NR, GOGAT and GS, and nitrate reductase activity for the raphidophyte <em>Heterosigma akashiwo</em>.</p> <p>For details, see Healey, E.M., Flood, S., Bock, P.K., Fulwieler, R.W., York, J.K. and Coyne, K.J. (2023) Effects of nitrate and ammonium on assimilation of nitric oxide by <em>Heterosigma akashiwo</em>. <em>Sci Rep</em> 13, 621. DOI: 10.1038/s41598-023-27692-3. </p> <p><strong>Funding source</strong>: US National Oceanic and Atmospheric Association (NOAA) National Centers for Coastal Ocean Science (NCCOS) grant number <span>NA18NOS4780165; ECOHAB 2017: The role of nitric oxide in promoting Heterosigma blooms.</span></p>
In-situ observations of nitrate loss factor for "Estimation method is the primary source of uncertainty in cropland nitrate leaching estimate in China"
<p>This database includes In-situ observations of nitrate loss factor. Details can be found in paper named "Estimation method is the primary source of uncertainty in cropland nitrate leaching estimate in China".</p>
Decadal delays in groundwater recovery from nitrate contamination caused by low O2 reduction rates
<p>Dataset for the Publication 'Decadal delays in groundwater recovery from nitrate contamination caused by low O<sub>2</sub> reduction rates' in Water Resources Research.</p>
Simulated corn yield, drainage nitrate load and residual soil nitrate as affected by weather, management and soil-state at seven long-term US Midwest research sites
<p>This data set is the product of a factorial simulation experiment designed to quantify the impact of five environmental factors and five management practices on NO<sub>3</sub> leaching and yield in corn cropping systems. The simulation model used was the Agricultural Production Systems SImulator (APSIM; <a href="https://www.apsim.info/">https://www.apsim.info/</a>). Description of the simulation factors are provided in the metadata.txt file. </p> <p> </p> <p> </p>
Data and code repository for the research "Assessing the use of Airborne Electromagnetic Data for nitrate vulnerability assessment in the Central Valley, California"
<p>Data and code for "Assessing the use of Airborne Electromagnetic Data for nitrate vulnerability assessment in the Central Valley, California". This repository contains the analysis and post-processing code for generating results and figures used in the manuscript.</p>
The reconstructed three-dimensional nitrate field dataset for the pan-European ocean using a continual learning-based multilayer perceptron
<p>Based on a newly developed continual learning-based multilayer perceptron model and environmental features, we reconstructed the pan-European 3D ocean nitrate field from 2010 to 2023. The reconstructed field features a monthly temporal resolution, a horizontal spatial resolution of 0.25 degrees, and 63 depth levels, with vertical intervals ranging from 5 to 50 m.</p>
Houska_et_al_Dataset_Identifying the drivers of discharge and instream nitrate concentrations using Random Forest
<p>Dataset and Python code to perform a Random Forest regression analysis on mesured discharge and nitrate concentration data at sixteen points within the Sschwingbach Earth Observatory (SEO) located in Hüttenberg, Hesse, Germany.</p>
A semi-empirical model of radiolytic gas bubble formation and evolution during criticality excursions in uranyl nitrate solutions for nuclear criticality safety assessment
<p>Raw data used to construct the figures found in the journal paper "A semi-empirical model of radiolytic gas bubble formation and evolution during criticality excursions in uranyl nitrate solutions for nuclear criticality safety assessment".</p>
Dietary nitrate supplementation prevents radiotherapy-induced xerostomia
<p><span>Management of salivary gland hypofunction caused by irradiation (IR) therapy for head and neck cancer remains lack of effective treatments. Salivary glands, especially the parotid gland, actively uptake dietary nitrate and secrete it into saliva. Here, we investigated the effect of dietary nitrate on the prevention and treatment of IR-induced parotid gland hypofunction in miniature pigs, and elucidated the underlying mechanism in human parotid gland cells (hPGCs). We found that nitrate administration prevented IR-induced parotid gland damage in a dose-dependent manner, by maintaining the function of irradiated parotid gland tissue. Mechanically, Nitrate could increase sialin expression, a nitrate transporter expressed in the parotid gland, making the nitrate-sialin feedback loop that facilitates nitrate influx into cells for maintaining cell proliferation and inhibiting apoptosis. Nitrate enhanced cell proliferation via the epidermal growth factor receptor (EGFR)–protein kinase B (AKT)–mitogen-activated protein kinase (MAPK) signaling pathway in irradiated parotid gland tissue. Collectively, nitrate effectively prevented IR-induced xerostomia via the EGFR–AKT–MAPK signaling pathway. Dietary nitrate supplementation may provide a novel, safe, and effective way to resolve IR-induce xerostomia.</span></p>
Dataset from "Electrochemical water softening as pretreatment for nitrate electro bioremediation"
<p>The dataset contains the raw data of the figures and tables reported in the open access publication “Ceballos-Escalera, A., Pous, N., Balaguer, M.D., Puig, S., 2022. Electrochemical water softening as pretreatment for nitrate electro bioremediation. Sci. Total Environ. 806, 150433. <a href="https://doi.org/10.1016/J.SCITOTENV.2021.150433">https://doi.org/10.1016/J.SCITOTENV.2021.150433</a> ”</p>
Dataset for: Indirect nitrous oxide emission factors of fluvial networks can be predicted by dissolved organic carbon and nitrate from local to global scales
<p>Streams and rivers are important sources of nitrous oxide (N<sub>2</sub>O), a powerful greenhouse gas. Estimating global riverine N<sub>2</sub>O emissions is critical for the assessment of anthropogenic N<sub>2</sub>O emission inventories. The indirect N<sub>2</sub>O emission factor (EF<sub>5r</sub>) model, one of the bottom-up approaches, adopts a fixed EF<sub>5r</sub> value to estimate riverine N<sub>2</sub>O emissions based on IPCC methodology. However, the estimates have considerable uncertainty due to the large spatiotemporal variations in EF<sub>5r</sub> values. Factors regulating EF<sub>5r</sub> are poorly understood at the global scale. Here, we combine 4-year in situ observations across rivers of different land use types in China, with a global meta-analysis over six continents, to explore the spatiotemporal variations and controls on EF<sub>5r</sub> values. Our results show that the EF<sub>5r</sub> values in China and other regions with high N loads are lower than those for regions with lower N loads. Although the global mean EF<sub>5r</sub> value is comparable to the IPCC default value, the global EF<sub>5r</sub> values are highly skewed with large variations, indicating that adopting region-specific EF<sub>5r</sub> values rather than revising the fixed default value is more appropriate for the estimation of regional and global riverine N<sub>2</sub>O emissions. The ratio of dissolved organic carbon to nitrate (DOC/NO<sub>3</sub><sup>-</sup>) and NO<sub>3</sub><sup>-</sup> concentration are identified as the dominant predictors of region-specific EF<sub>5r</sub> values at both regional and global scales because stoichiometry and nutrients strictly regulate denitrification and N<sub>2</sub>O production efficiency in rivers. A multiple linear regression model using DOC/NO<sub>3</sub><sup>-</sup> and NO<sub>3</sub><sup>-</sup> is proposed to predict region-specific EF<sub>5r</sub> values. The good fit of the model associated with easily obtained water quality variables allows its widespread application. This study fills a key knowledge gap in predicting region-specific EF<sub>5r</sub> values at the global scale and provides a pathway to estimate global riverine N<sub>2</sub>O emissions more accurately based on IPCC methodology.</p> <p>This dataset is a global integrated N<sub>2</sub>O dataset including data from 4-year (2017-2020) in situ measurements of six large rivers in China, 3-year (2018-2020) in situ measurements of urban river networks in Beijing of China, and 825 measurements from 70 published papers over six continents. The data includes dissolved N<sub>2</sub>O concentration, biogeochemical (DOC, NO<sub>3</sub><sup>-</sup>, NH<sub>4</sub><sup>+</sup>, temperature, and DO), climatological (climate zones), and geographic (region, location, and land cover) information.</p>
Hyperpolarized [15N]nitrate as a potential long lived hyperpolarized contrast agent for MRI
<p>Primary data for DOI: <a href="https://doi.org/10.1016/j.jmr.2019.01.001">10.1016/j.jmr.2019.01.001</a></p> <p>Title: Hyperpolarized [<sup>15</sup>N]nitrate as a potential long lived hyperpolarized contrast agent for MRI</p> <p>Authors: Ayelet Gamliel, Sivaranjan Uppala, Gal Sapir, Talia Harris, Atara Nardi-Schreiber, David Shaul, Jacob Sosna, J. Moshe Gomori, Rachel Katz-Brull</p> <p>Description:</p> <p>The primary datasets in this archive contain data presented in the above publication and consist of <sup>15</sup>N-NMR spectra in solutions.</p> <p>Please consult the Archive Guide.</p>
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OpenNeuro
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