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223 results for “ammonia”

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zenodo32/100

Techno-economic comparison of power-to-Ammonia and biomass- to-Ammonia plants using electrolyzer, CO 2 capture and water-gas- shift membrane reactor

A set of imput data used for the paper entitled: Techno-economic comparison of power-to-Ammonia and biomass- to-Ammonia plants using electrolyzer, CO 2  capture and water-gas-shift membrane reactor

opencc-by-4.0Sep 2024View details →

zenodo32/100

Pd-Al2O3 Catalyst for Ammonia

Galaxy RO Crate object containing the workflow and data with the reproduction of the results published in: D. Decarolis, A. H. Clark, T. Pellegrinelli, M. Nachtegaal, E. W. Lynch, C. R. A. .Catlow, E. K. Gibson, A. Goguet, P. P. Wells (2021). Spatial Profiling of a Pd/Al2O3 Catalyst during Selective Ammonia Oxidation DOI: <a href="http://dx.doi.org/10.1021/acscatal.0c05356">10.1021/acscatal.0c05356</a>. This RO is published as part of the research data submitted for the paper Facilitating Reproducibility in Catalysis Research with Managed Workflows and RO-Crates: A Galaxy Case Study, ChemCatChem, DOI: 10.1002/cctc.202401676.

opencc-by-4.0Oct 2024View details →

dryad32/100

Data from: Vascular plants mediate the effects of aridity and soil properties on ammonia-oxidizing bacteria and archaea

An integrated perspective of the most important factors driving the abundance of ammonia-oxidizing bacteria (AOB) and archaea (AOA) in natural ecosystems is lacking, especially in drylands. We evaluated how different climatic, abiotic, and nutrient-related factors determine AOA and AOB abundance in bare and vegetated microsites from grasslands throughout the Mediterranean Basin. We found a strong negative relationship between the abundance of AOA genes and soil fertility (availability of C, N, and P). Aridity and other abiotic factors (pH, sand content, and electrical conductivity) were more important than soil fertility in modulating the AOA/AOB ratio. AOB were more abundant under vegetated microsites, while AOA, highly resistant to stressful conditions, were more abundant in bare ground areas. These results suggest that AOA may carry out nitrification in less fertile microsites, while AOB predominate under more fertile conditions. Our results indicate that the influence of aridity and pH on the relative dominance of AOA and AOB genes is ultimately determined by local-scale environmental changes promoted by perennial vegetation. Thus, in spatially heterogeneous ecosystems such as drylands, there is a mutual exclusion and niche division between these microorganisms, suggesting that they may be functionally complementary.

opencc-zeroDec 2012View details →

zenodo32/100

Combined Effects of Concentration, pH, and Polycrystalline Copper Surface on Electrocatalytic Nitrate-to-Ammonia Activity and Selectivity

Datasets for figures included in the results and discussion section in our recently accepted publication at ACS Catalysis: 10.1021/acscatal.2c05136 <ul> <li>Figure 3: Cyclic voltammograms for 0.1 M, 0.5 M and 1 M NaNO3 for (a) pH 8, (b) pH 10, and (c) pH 14 using a Cu disk electrode (Figure 1) with a scan rate of 20 mV s-1 and stir rate of 900 rpm. Average current density for the last and steady cycle is shown as a bold line with the shaded regions representing the standard deviation over at least 3 trials computed at every potential. Arrows indicate the direction of the sweep. Data in Figure 3(a) and 3(b) for pH 8 and pH 10 is a selected subset of more experimental trials. Figure S2 shows the same results with potential versus the normal hydrogen electrode (V vs NHE) to illustrate pH-dependent shift in the range of the working electrode potentials. Blanks (predicted H2 evolution) have not been subtracted from the CV data for NaNO3.</li> <li> Figure 4: Cyclic voltammograms for pH and 1 M NaNO3 and 1 M NaNO2 concentrations for a Cu disk electrode obtained with a scan rate of 20 mV s-1 and a stir rate of 900 rpm at: (a) pH 8, (b) pH 10, and (c) pH 14. The blanks associated with each trial condition are shown as dotted lines and the onset potential of the blank, i.e., hydrogen evolution reaction, is indicated by the vertical dashed line. Average current density for the last and steady cycle is shown as a bold line, with the shaded regions representing the standard deviation over all trials calculated at each potential. Blanks (predicted H2 evolution) have not been subtracted from the CV data for NaNO3 and NaNO2. </li> <li> Figure 5: Cyclic voltammograms for 0.5 M NaNO3 for a Cu disk electrode with a scan rate of 20 mV s-1 and a stir rate of 900 rpm at (a) pH 8, (b) pH 10 and (c) pH 14. For (a) and (c), two different clusters of measured datasets are observed and average current density values over multiple trials (at least 2) are shown in bold and the shaded regions represent the standard deviation. For (b), data from all trials are shown. Blanks (predicted H2 evolution) have not been subtracted from the shown data. </li> <li> Figure 6: Chronoamperometry studies for pH 8, 10, and 14 for NaNO3 concentrations of (a) 0.1 M and (b) 1 M. Average current density for all trials is shown in the bold line, with the shaded regions representing the standard deviation of 3 experimental trials. Experiments were completed with planar Cu electrodes with geometric areas in Table S3, where the working electrode was subject to the voltages in Table 1, and with a stir rate of 900 rpm. Blanks without NaNO3 have been subtracted from currents obtained with NaNO3 electrolytes at all concentrations and pH to discount H2 evolution currents at cathodic potentials. </li> <li> Figure 7: (a) Average and standard deviations in Faradaic efficiency to NH3 (green) and NO2- (purple) at pH 8, 10, and 14 for 0.1 M and 1 M NaNO3. (b) Average and standard deviations in measured NO3- consumption (blue) and estimated NO3- consumption (teal); (c) trial-to-trial breakdown of Faradaic efficiency to NO2-, NH3, predicted H2, and unaccounted products. All data for this figure are from experiments completed with planar Cu electrodes with geometric areas in Table S1, where the working electrode was subject to the voltages in Table 1, and with a stir rate of 900 rpm. Average values in 7(a) and 7(b) are obtained by averaging over all trials in Figure 6, and error bars account for both random (trial-to-trial) and systematic errors (Table 2); 7(c) does not show uncertainties in the Faradaic efficiency to NO2- and NH3. Instead, the red box indicates the portion of the unaccounted products that lies outside of the systematic error coming from the NH3 and NO2- measurements. </li> <li> Figure 8: Energy intensity for ammonia recovery,  (MJ kgN-1), and rate of ammonia production,  (gN m-2 day-1), as a function of pH 8, 10, and 14 for 0.1 M and 1 M NaNO3. Energy intensity values estimated for the standard biological nitrification-denitrification approach (green star), and for the Sharon-Anammox process (yellow star) are included for comparison. All data for this figure are from experiments completed with planar Cu electrodes (Figure 1). Average values for energy intensity and rate of ammonia production are obtained by averaging over all trials in Figure 6, and error bars account for both random (trial-to-trial) and systematic errors (Table 2). </li> <li> Figure 9: Correlation, using trial-by-trial experimental data, between the average of initial and final values of the charge-transfer resistance, , and the charge passed for NO3- reduction to NO2- and NH3, , for 0.1 M and 1 M NaNO3 at pH 8, 10, and 14. Best-fit charge-transfer resistance values are obtained from electrochemical impedance spectroscopy data measured with planar Cu electrodes at a potential of -0.1 V. Lower  leads to higher charge passed to NO3- reduction products, as shown by the fit line. Systematic errors in the determination of  (Table 2) are not explicitly shown in this dataset. </li> <li> Figure 10: Correlations using trial-by-trial experimental data between the net charge passed and the average of the initial and final effective double-layer capacitance, . (a, b) show the total charge, , and (c, d) only consider NO2- and NH3, . The  is split by concentration, with (a, c) showing 0.1 M and (b,d) showing 1 M NaNO3 for pH 8, 10, and 14. Trendlines in the data (dotted and dashed) are included at every pH. Best-fit double-layer capacitance values are calculated from electrochemical impedance spectroscopy data obtained with planar Cu electrodes at a potential of -0.1 V. The error bars for  include the contributions from systematic error (Table 2). </li> </ul>

opencc-by-nc-nd-4.0Dec 2022View details →

zenodo32/100

Atmospheric ammonia reanalysis dataset

The 3D reanalysis dataset for atmospheric ammonia is archived here. This dataset provides monthly data from January 2013 to June 2022, encompassing a geographic range spanning from 72° to 136° longitude and 17.5° to 54° latitude, and offering a horizontal resolution of 0.5° latitude by 0.625° longitude.

opencc-by-4.0Oct 2023View details →

ClinicalTrials.gov32/100

The Effectiveness of L-ornithine-L-aspartate (LOLA) on Plasma Ammonia in Cirrhotic Patients After TIPS

ClinicalTrials.gov study NCT01440829. IPD Sharing: Not stated. Countries: 1. Publications: 4.

restrictedIPD-UNDECIDEDFeb 2026View details →

ClinicalTrials.gov32/100

L-carnitine Corrects Ammonia Metabolism in Hepatectomized Patients

ClinicalTrials.gov study NCT03021876. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →

ClinicalTrials.gov32/100

Ammonia N-13 Myocardial Blood Flow Absolute Quantification by PET in Patients With Known or Suspected CAD (Ammonia MAP)

ClinicalTrials.gov study NCT04343209. IPD Sharing: Not stated. Countries: 1. Publications: 10.

restrictedIPD-UNDECIDEDFeb 2026View details →

ClinicalTrials.gov32/100

Effect of Goal Directed Ammonia Lowering Therapy in Acute on Chronic Liver Failure Patients With Hepatic Encephalopathy.

ClinicalTrials.gov study NCT02321371. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →

dryad32/100