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28 results for “nitrification”
Data explanation for Manuscript "'An optimized hydroponic pipeline for large-scale identification of wheat genotypes with resilient biological nitrification inhibition (BNI) activity'"
<p>Data explanation for Manuscript "'An optimized hydroponic pipeline for large-scale identification of wheat genotypes with resilient biological nitrification inhibition (BNI) activity'"</p>
Nitrification in biofloc system with different aeration flows rates
<p>Determine the response of nitrifying bacteria present in the biofilm submitted to different aeration intensities during the production of <em>Litopenaeus</em> <em>vannamei</em> (Boone, 1931) in a clear water system and also with bioflocs.</p>
Data from: Reduction in nitrification during the early transition from conventional to organic farming practices
<p>Contributors</p> <ul> <li>@JacobRPrice</li> </ul>
Data from: Optimization of nitrogen and carbon removal with simultaneous partial nitrification, anammox, and denitrification (SNAD) in membrane bioreactor (MBR)
<p>In this study, a membrane bioreactor (MBR) was used to achieve both nitrogen and carbon removal by a simultaneous partial nitrification, anammox, and denitrification (SNAD) process. During the entire experiment, the optimal operating parameters as determined by response surface methodology (RSM) were a C/N value of 1.16, a DO value of 0.84 mg·L<sup><span>-1</span></sup>, and an aerobic time (<i><span>T</span></i><i><sub><span><span>ae</span></span></sub></i>) of 15.75 min. Under these conditions, the SNAD process achieved efficient and stable nitrogen and carbon removal; the total inorganic nitrogen (TIN) removal efficiency and chemical oxygen demand (COD) removal efficiency were 92.31% and 95.67%, respectively. With the formation of granular sludge, the membrane fouling rate (MFR) decreased significantly from 35.0 Pa·h<sup><span>-1</span></sup> at SNAD start-up to 19.9 Pa·h<sup><span>-1</span></sup> during stable operation. Fluorescence in situ hybrid (FISH) analyse confirmed the structural characteristics and the relative ratio of AerAOB, AnAOB, and DNB in the SNAD system.</p>
Data from: Soil gross N ammonification and nitrification from tropical to temperate forests in eastern China
1. Nitrogen (N) ammonification and nitrification are two primary microbial processes controlling the availability of soil ammonium (NH4+), a key nutrient for vegetative growth. The large-scale patterns of gross ammonification (GA) and gross nitrification (GN) rates represent soil microbial adaptations to different vegetative and environmental conditions. In this study, we investigated GA and GN rates in nine forest soils along a 3500-km north-south transect in eastern China (NSTEC). 2. We used 15N-labeling techniques, along with field experiments and laboratory incubations, to as-sess in situ and potential rates of the GA and GN. The mean in situ GA rate was 4.9 ± 0.5 mg N kg–1 day–1, whereas the mean potential rate of GA was 32.0 ± 8.6 mg N kg–1 day–1. The mean in situ GN rate was 1.7 ± 0.3 mg N kg–1 day–1 (potential GN rate: 3.2 ± 0.6 mg N kg–1 day–1). GA was sig-nificantly higher than GN along the transect and there were high variations in GA and GN among different forests. Significant relationships were identified between meteorological factors (tempera-ture and precipitation) and the GA and GN rates during the sampling month (August 2013). How-ever, the mean GA rate in primary forest was significantly lower in the Huzhong (HZ), Dongling (DL), Taiyue (TY), and Dinghu (DH) sites compared with other sites, whereas with the exception of the Liangshui (LS) sampling site, the mean GN rate in primary and secondary forests showed the same trends. Significant differences in GA rates were found between primary and secondary forests at the LS and Chang Bai (CB) sites, and differences were detected in GN rate at the HZ, LS, and Jiulian (JL) sites. 3. Structural equation modeling analysis suggested that soil N contents, microbial biomass N pool sizes, and bacterial abundance are the primary determinants of the in situ rates of GA and GN. The strong control of edaphic factors on GA and GN indicates a need to improve soil N models with more explicit representation of edaphic factors and their control on soil N transformations.
Data from: Soil gross N ammonification and nitrification from tropical to temperate forests in eastern China
Open the record for dataset details and reuse information.
Data from: Optimization of nitrogen and carbon removal with simultaneous partial nitrification, anammox, and denitrification (SNAD) in membrane bioreactor (MBR)
Open the record for dataset details and reuse information.
Quorum Quenching of Nitrobacter winogradskyi Suggests that Quorum Sensing Regulates Fluxes of Nitrogen Oxide(s) during Nitrification.
GEO Series GSE84969. Nitrobacter winogradskyi. 8 samples. Type: Expression profiling by high throughput sequencing.
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.