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285 results for “anaerobic”

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zenodo40/100

Fig. 5 in New record of five anaerobic ciliate species from South Korea

Fig. 5. Plagiopyla nasuta in life (A-D), after protargol impregnation (E-G), and in scanning electron microscope (H). A, B. dorsal and ventral view showing the body shape, the shape of the oral opening and the striated band on dorsal side. C, D. Resting (arrows) and extruded (arrowheads) extrusomes. E-G. dorsal (E), Ventral (F), and ventrolateral (G) view, showing the body shape, the shape and position of the oral opening, the striated band (arrow), and the dense ciliary rows left of cytopyge (arrowheads). H. ventral view showing the body shape and the dense somatic ciliation. CV, contractile vacuole; CY, cytostome; MA, macronucleus. Scale bars 20 μm (A, B, D-H) and 10 μm (C).

opencc-by-4.0Dec 2022View details →
zenodo40/100

Leaf wound induced ultraweak photon emission is suppressed under anoxic stress: observations of Spathiphyllum under aerobic and anaerobic conditions using novel in vivo methodology

<p>Dataset for paper: ABSTRACT:&nbsp;</p> <p>Plants have evolved a variety of means to energetically sense and respond to abiotic and biotic environmental stress.&nbsp;&nbsp;Two typical photochemical signaling responses involve the emission of volatile organic compounds and light.&nbsp;&nbsp;The emission of certain leaf wound volatiles and light are mutually dependent upon oxygen which is subsequently required for the wound-induced lipoxygenase reactions that trigger the formation of fatty acids and hydroperoxides; ultimately leading to photon emission by chlorophyll molecules.&nbsp;&nbsp;A low noise photomultiplier with sensitivity in the visible spectrum (300 &ndash; 720 nm) is used to continuously measure long duration ultraweak photon emission of dark-adapting whole&nbsp;<em>Spathiphyllum</em>leaves (<em>in vivo</em>).&nbsp;&nbsp;Leaves were mechanically wounded after two hours of dark adaptation in aerobic and anaerobic conditions.&nbsp;&nbsp;It was found that (1) nitrogen incubation did not affect the pre-wound basal photocounts; (2) wound induced leaf biophoton emission was significantly suppressed when under anoxic stress; and (3) the aerobic wound induced emission spectra observed was &gt; 650 nm, implicating chlorophyll as the likely emitter. Limitations of the PMT photocathode&rsquo;s radiant sensitivity, however, prevented accurate analysis from 700 &ndash; 720 nm. Further examination of leaf wounding profile photon counts revealed that the pre-wounding basal state (aerobic and anoxic), the anoxic wounding state, and the post-wounding aerobic state statistics all approximate a Poisson distribution.&nbsp;&nbsp;It is additionally observed that aerobic wounding induces two distinct exponential decay events.&nbsp;&nbsp;These observations contribute to the body of plant wound-induced luminescence research and provide a novel methodology to measure this phenomenon&nbsp;<em>in vivo</em>.</p>

opencc-by-4.0Dec 2017View details →
zenodo40/100

Data_ Integrating torrefaction of pulp industry sludge with anaerobic digestion to produce bioenergy and biochemicals: Techno-economic and environmental feasibility analysis

<p>In order to improve the economic competitiveness of bioenergy carriers and biochemicals, they must be produced<br> from low-cost or no-cost feedstock and at a reduced operational expenses. In that regard, this study<br> focused on understanding the techno-economic feasibility of using pulp sludge as a low-cost alternative feedstock<br> to forestry biomass in torrefaction. Economic feasibility of further integrating pulp sludge torrefaction with<br> anaerobic digestion to produce energy, biomethane and volatile fatty acids (VFA) was also studied. The operational<br> expenses were around 8.2 and 2.04 M&euro; and the minimum selling price of torrefied pellets was 407 and<br> 189 &euro;/t for forestry biomass torrefaction and pulp sludge torrefaction respectively. In case of integrated approaches,<br> VFA production showed higher economic feasibility with a torrefied pellets selling price of 163 &euro;/t<br> compared with biomethane production (213 &euro;/t). The biomethane and VFA selling price can be reduced by 90<br> and 64% compared with current market price at torrefied pellets selling price of 260 &euro;/t. Sensitivity analysis<br> revealed that, moisture content of the sludge is the main influencing parameter on the overall economic feasibility<br> of the pulp sludge torrefaction. The environmental analysis showed that pulp sludge torrefaction has higher<br> emissions compared with forestry biomass torrefaction.</p>

opencc-by-4.0Jan 2023View details →
zenodo40/100

A pilot-scale partial nitritation-anammox process for treatment of anaerobic sludge digester effluent

<p>In most of the wastewater treatment operational practices with anaerobic sludge digestion, the ammonia rich centrate (&gt;100mg/L) is recycled back to the main treatment line which increases the NH<sub>4</sub><sup>+</sup>-N loading to the treatment by as much as 10&ndash;30% (Fan 2020). The partial nitritation-anammox (PN/A) process is a biological process that provides an environmentally, economically, and technically sound solution to treat anaerobic sludge digester effluent.</p> <p>The application of the anammox process in the wastewater system could result in higher nitrogen removal in the digester effluent as there have been related research conducted at lab-scale using synthetic wastewater (Awolusi et al., 2020). However, due to the process sensitivity to operating conditions, there is a need to optimize at pilot scale to emerge as an efficient process, especially in the South African environment as this technology has a possibility to be promoted as an alternative and/or additional bioprocess to be applied in full scale throughout the country.</p>

opencc-by-4.0Jul 2023View details →
zenodo40/100

Anaerobic Methane Oxidation is Quantitatively Important in Deeper Peat Layers of Boreal Peatlands: Evidence from in situ Stable Isotopes Depth Profiles, Anaerobic Incubations, and Microbial Communities

<p>Dataset contains complete result of laboratory anaerobic incubations with peat samples from 3 West Siberian peatlands.</p> <p>Before the incubation, the peat samples were thoroughly mixed to ensure homogeneity. Aliquots (140 &plusmn; 1 g) were mixed with distilled water at a ratio of 1:2 by weight, and then placed into sterile 500 ml glass bottles, flushed with pure argon (99.9999%, Voessen, Russia) for 5 min to remove any oxygen and sealed with butyl rubber septa to maintain anaerobic conditions. The bottles were kept at +5&deg;C for 1 day to allow the equilibration between the peat and the headspace. Then bottles were again thoroughly flushed with argon for 5 min, sealed, and an additional 5 ml of argon was added to prevent air diffusion into the bottle headspace. The incubation was performed in two different ways: i) unamended control, and ii) amended with 10 ml of CH<sub>3</sub>F to inhibit acetotrophic methanogenesis. Peat samples from the depths of 15-20 and 40-50 cm were incubated at 15&deg; and 10&deg;C, respectively, for a period of 60 days, whereas deeper peat samples were incubated at 5&deg;С, representing the temperature of the deeper peat layers of Mukhrino bog during the snow-free period for 150 days. Gas (1 mL for Н<sub>2</sub>, CH<sub>4</sub> and CO<sub>2</sub> concentration, 1 mL for stable isotope compositions) and liquid (1 mL for organic acids) samples were taken for analysis every two weeks after manually shaking the bottles for approximately 5 s to equilibrate the gaseous and aqueous phases. At the end of the incubation, methane headspace concentrations ranged from 1 to 3 % for deeper samples. The incubations with and without CH<sub>3</sub>F addition were carried out in three replicates for samples from Mukhrino bog and in two replicates for Chistoe and Lempino bogs. Net methane and CO<sub>2</sub> production were calculated from the gas concentrations, the volume of the gas space, and the water volume using the ideal gas law. Gas solubility was calculated using Henry&rsquo;s law. The reported net methane and CO<sub>2</sub> production are the averages of 2-3 replicates.</p> <p>See further details in a paper with the same title and the first author.</p>

opencc-by-4.0Aug 2023View details →
zenodo40/100

Fig. 2. Some microaerobic and anaerobic marine ciliates. a in Protozoa and Oxygen

Fig. 2. Some microaerobic and anaerobic marine ciliates. a – Uronema filificum that prefers an O 2-tension of 1–2% atm. sat.; b – Euplotes sp. (Fenchel et al. 1989, Bernard and Fenchel 1996) that prefers an O 2-tension of 4–5% atm sat.; c – Plagiopogon loricatus that occurs at low O 2-tensions in both the stratified water column and in sediments; d – Metopus contortus is an obligate anaerobe with hydogenosomes; it occurs in nearly all marine anaerobic habitats; e – Cyclidium cf. flagellatum is a microaerophile that prefers an O 2-tension around 2%, but is also capable of sustained growth under anaerobic conditions (Bernard and Fenchel 1996). All scale bars: 10 µm.

opencc-by-4.0Dec 2014View details →
edi40/100

Anaerobic digestion of poultry manure to power a poultry farm in Ba: Techno-economic study

Poultry is the largest meat volume produced in Fiji, yet considering the large quantity of waste produced by this livestock, there has not been any established study nor application of the anaerobic digestion (AD) of poultry manure (PM) in the country. This paper aims to determine the techno-economic feasibility of the AD of PM to power a poultry farm in Fiji. A pilot-scale, solid-state anaerobic digestion (SSAD) was employed with mono-digestion batches of PM, and co-digestions with kitchen waste (KW) and newspaper waste (NPW). The key operational parameters of AD were measured and its influence on the biogas production were studied, whereby changes in environmental temperature had the greatest effect on biogas production. The results were then used to carry out a feasibility study of the full-scale design. The results showed that the SSAD system would generate 189.46 MWh of electricity annually, with a levelized cost of energy of FJ$0.17/KWh.

openCC (other)Jun 2023View details →
zenodo36/100

Oxygen Isotope Fractionation by Anaerobic Ammonium-Oxidizing Bacteria

<p>Isotope composition&nbsp; of nitrite, nitrate, and water, as well as concentrations of nitrite, nitrate, and ammonium,&nbsp;were measured during the experiments with enrichment cultures of the anammox bacterium&nbsp;<em>Kuenenia stuttgartiensis. </em>Samples were collected sequentially during the course of the anammox activity until the complete consumption of nitrite.<em>&nbsp;</em>Isotope composition of nitrite and water was measured during the abiotic experiments to follow the abiotic&nbsp;oxygen isotope exchange between nitrite and water. The exchange was followed over the time period of 48 h.</p>

opencc-by-4.0Apr 2020View details →
dryad36/100

Data from: Effect of yeast addition on the biogas production performance of a food waste anaerobic digestion system

<p>Food waste contains numerous easily degradable components, and anaerobic digestion is prone to acidification and instability. This work aimed to investigate the effect of adding yeast on biogas production performance, when substrate is added after biogas production is reduced. The results showed that the daily biogas production increased 520 ml and 550 ml by adding 2.0% (VS) of activated yeast on the 12th and 37th day of anaerobic digestion, respectively, and the gas production was relatively stable. In the control group without yeast, the increase of gas production was significantly reduced. After the second addition of substrate and yeast, biogas production only increased 60 ml compared with that before the addition. After fermentation, the biogas production of yeast group also increased by 33.2% compared with the control group. Results of the analysis of indicators, such as volatile organic acids, alkalinity, and propionic acid, showed that the stability of the anaerobic digestion system of the yeast group was higher. Thus, the yeast group is highly likely to recover normal gas production when the biogas production is reduced, and substrate is added. The results provide a reference for experiments on the industrialisation of continuous anaerobic digestion to take tolerable measures when the organic load of the feed fluctuates dramatically.</p>

opencc-zeroJul 2020View details →
dryad36/100

δ15N of nitric oxide produced under aerobic or anaerobic conditions from seven soils and their associated N isotope fractionations

<p>Measuring the nitrogen isotope compositions (δ<sup>15</sup>N) of nitric oxide (NO) from different sources helps to quantify the relative contributions of atmospheric NO<sub>x</sub>. Soil is one of the most important sources of atmospheric NO<sub>x</sub>, but only limited measurements on the δ<sup>15</sup>N of soil emitted NO exist, hampering our ability to partition sources to air pollution. Here we conducted soil incubations to measure the δ<sup>15</sup>N-NO under defined aerobic or anaerobic conditions, favoring either nitrification or denitrification. Soils were collected from seven sites spanning three ecosystems in northern China (two agricultural, two forest, and three grassland sites). We found that the δ<sup>15</sup>N-NO and their associated N isotope fractionations were significant different between anaerobic and aerobic conditions in seven soils. Under aerobic condition, the δ<sup>15</sup>N-NO ranged from -62‰ to -50‰ (averaged -56 ± 4‰), being significantly more negative (by 23‰) than those under anaerobic condition (-45‰ to -23‰, averaged -33 ± 7‰). The apparent N isotope fractionation for NO production under aerobic condition (<sup>15</sup><em>ε</em><sub>aerobic</sub> = 61 ± 3‰) was significantly higher (by 26‰) than under anaerobic condition (<sup>15</sup><em>ε</em><sub>anaerobic</sub> = 35 ± 6‰), with a small variability among ecosystem types. Our study demonstrates that the δ<sup>15</sup>N-NO from different soils are very different from fuel combustions (mainly from 0 to +20‰), supporting that measuring <sup>15</sup>N is a useful tool to partition the contributions of soil NO to atmospheric NO<sub>x</sub>. Our results also imply δ<sup>15</sup>N-NO produced by nitrification and denitrification distinctly different, as these two processes are dominant processes producing NO under aerobic and anaerobic conditions, respectively.</p>

opencc-zeroAug 2020View details →
zenodo36/100

Data for: Nitrogen dynamics and carbon sequestration in soil following application of digestates from one- and two-step anaerobic digestion

<p>Data set for article <span>Nitrogen dynamics and carbon sequestration in soil following application of digestates from one- and two-step anaerobic digestion (https://doi.org/10.1016/j.scitotenv.2022.158177).</span></p>

opencc-by-4.0Apr 2024View details →
zenodo36/100

Raw Data for the article: Use of 27G needles improves sensitivity and performance of ATCC anaerobe reference microorganism detection in BacT/Alert system

<p>Effective detection of microbiological contaminations present in medicinal cellular products is a crucial step to ensure patients&#39; safety. In recent decades, several rapid microbiological methods have been developed and validated, but variabilities linked to the use of different resources have led to discordant validation of methods and performance results. Considering this, while developing an in-house BacT/Alert-based method, we evaluated all of the materials used in its validation. Of particular importance, we noticed that the syringe gauge used to inject the samples into the bottles was crucial to obtain robust results. We chose to conduct a comparative test between the BacT/Alert system and the compendial method described in the European Pharmacopoeia, using five dilutions of nine reference microorganism strains and 21G or 27G needles. Our results confirmed that the BacT/Alert system is a valid and faster alternative method to assess sterility of clinical cell therapy products, and that the use of 27G needles increases its sensitivity to detect reference anaerobe microorganisms.</p>

opencc-by-4.0Mar 2022View details →
dryad36/100

From performance curves to performance surfaces: Interactive effects of temperature and oxygen availability on aerobic and anaerobic performance in the common wall lizard

<p>1. Accurately predicting the responses of organisms to novel or changing environments requires the development of ecologically-appropriate experimental methodology and process-based models.</p> <p>2. For ectotherms, thermal performance curves (TPCs) have provided a useful framework to describe how organismal performance is dependent on temperature. However, this approach often lacks a mechanistic underpinning, which limits our ability to use thermal performance curves predictively. Further, thermal dependence varies across traits, and performance is also limited by additional abiotic factors, such as oxygen availability.</p> <p>3. We test a central prediction of our recent Hierarchical Mechanisms of Thermal Limitation (HMTL) Hypothesis which proposes that natural hypoxia exposure will reduce maximal performance and cause the thermal performance curve for whole-organism performance to become more symmetrical.</p> <p>4. We quantified thermal performance curves for two traits often used as fitness proxies, sprint speed and aerobic scope, in lizards under conditions of normoxia and high-elevation hypoxia.</p> <p>5. In line with the predictions of HMTL, anaerobically-fueled sprint speed was unaffected by acute hypoxia while the TPC for aerobic scope became shorter and more symmetrical. This change in TPC shape resulted from both the maximum aerobic scope and the optimal temperature for aerobic scope being reduced in hypoxia as predicted.</p> <p>6. Following these results, we present a mathematical framework, which we call Temperature-Oxygen Performance Surfaces (TOPS), to quantify the interactive effects of temperature and oxygen on whole-organism performance in line with the HMTL hypothesis. This framework is transferrable across traits and levels of organization to allow predictions for how ectotherms will respond to novel combinations of temperature and other abiotic factors, providing a useful tool in a time of rapidly changing environmental conditions.</p>

opencc-zeroJul 2022View details →
zenodo36/100

Sulfamethoxazole transformation products in anaerobic batch assays

<p>The document contains the ion spectra and sulfamethoxazole&rsquo;s extracted ion chromatogram (XIC). The antibiotic was spiked in anaerobic batch assays containing graphene oxide at different levels. Two transformation products were detected, and the proposed biotransformation pathway is described in the last figure.</p>

opencc-by-4.0Aug 2022View details →
zenodo36/100

Operational parameters of lab-scale anaerobic membrane bioreactors amended with graphene oxide

<p>The file contains the logbook with all the monitored parameters of a 5 L lab-scale anaerobic membrane bioreactor (AnMBR) fed with raw municipal wastewater collected from Girona&rsquo;s wastewater treatment plant (Spain).</p> <p>The reactor was inoculated with anaerobic sludge and operated without modification until day 85, where a mix of organic micropollutants at 0.20 &micro;M were dosed. Furthermore, on day 216, graphene oxide (GO) at 5 mg of GO per g of volatile solids (VS) was added to the AnMBR.</p>

opencc-by-4.0Aug 2022View details →
zenodo36/100

A Thirty Minute Nap Enhances Performance in Running Based Anaerobic Sprint Test During and After Ramadan Observance

<table> <tbody> <tr> <td> <p>Age</p> </td> <td> <p>height</p> </td> <td> <p>&nbsp;weight</p> </td> <td> <p>BMI</p> </td> <td> <p>MAX POWER</p> <p>(Watt)-DURING RAMADAN NO NAP</p> </td> <td> <p>MİNİMUM POWER</p> <p>(Watt)-DURING RAMADAN NO NAP</p> </td> <td> <p>AVERAGE POWER</p> <p>(Watt)-DURING RAMADAN NO NAP</p> </td> <td> <p>FATİGUE İNDEX</p> <p>(%)-DURING RAMADAN NO NAP</p> </td> <td> <p>MAX POWER</p> <p>(Watt)- AFTER RAMADAN NO NAP</p> </td> <td> <p>MİNİMUM POWER</p> <p>(Watt)- AFTER RAMADAN NO NAP</p> </td> <td> <p>AVERAGE POWER</p> <p>(Watt)- AFTER RAMADAN NO NAP</p> </td> <td> <p>FATİGUE İNDEX</p> <p>(%)- AFTER RAMADAN NO NAP</p> </td> <td> <p>MAX POWER</p> <p>(Watt)- DURING RAMADAN 30M NAP</p> </td> <td> <p>MİNİMUM POWER</p> <p>(Watt)- DURING RAMADAN 30M NAP</p> </td> <td> <p>AVERAGE POWER</p> <p>(Watt)- DURING RAMADAN 30M NAP</p> </td> <td> <p>FATİGUE İNDEX</p> <p>(%)- DURING RAMADAN 30M NAP</p> </td> <td> <p>MAX POWER</p> <p>(Watt)-&nbsp; AFTER RAMADAN 30M NAP</p> </td> <td> <p>MİNİMUM POWER</p> <p>(Watt)-&nbsp; AFTER RAMADAN 30M NAP</p> </td> <td> <p>AVERAGE POWER</p> <p>(Watt)-&nbsp; AFTER RAMADAN 30M NAP</p> </td> <td> <p>FATİGUE İNDEX</p> <p>(%)-&nbsp; AFTER RAMADAN 30M NAP</p> </td> </tr> <tr> <td> <p>24.00</p> </td> <td> <p>177.00</p> </td> <td> <p>89.00</p> </td> <td> <p>28.40</p> </td> <td> <p>388</p> </td> <td> <p>303</p> </td> <td> <p>334</p> </td> <td> <p>2.05</p> </td> <td> <p>432</p> </td> <td> <p>312</p> </td> <td> <p>365</p> </td> <td> <p>2.97</p> </td> <td> <p>453</p> </td> <td> <p>326</p> </td> <td> <p>392</p> </td> <td> <p>3.23</p> </td> <td> <p>466</p> </td> <td> <p>350</p> </td> <td> <p>411</p> </td> <td> <p>3.02</p> </td> </tr> <tr> <td> <p>23.00</p> </td> <td> <p>178.00</p> </td> <td> <p>70.00</p> </td> <td> <p>22.10</p> </td> <td> <p>513</p> </td> <td> <p>399</p> </td> <td> <p>469</p> </td> <td> <p>3.33</p> </td> <td> <p>539</p> </td> <td> <p>428</p> </td> <td> <p>485</p> </td> <td> <p>3.27</p> </td> <td> <p>560</p> </td> <td> <p>451</p> </td> <td> <p>513</p> </td> <td> <p>3.29</p> </td> <td> <p>606</p> </td> <td> <p>468</p> </td> <td> <p>535</p> </td> <td> <p>4.24</p> </td> </tr> <tr> <td> <p>21.00</p> </td> <td> <p>170.00</p> </td> <td> <p>76.00</p> </td> <td> <p>26.30</p> </td> <td> <p>563</p> </td> <td> <p>444</p> </td> <td> <p>506</p> </td> <td> <p>3.47</p> </td> <td> <p>585</p> </td> <td> <p>456</p> </td> <td> <p>516</p> </td> <td> <p>3.80</p> </td> <td> <p>605</p> </td> <td> <p>482</p> </td> <td> <p>533</p> </td> <td> <p>4.82</p> </td> <td> <p>640</p> </td> <td> <p>475</p> </td> <td> <p>538</p> </td> <td> <p>4.92</p> </td> </tr> <tr> <td> <p>22.00</p> </td> <td> <p>174.00</p> </td> <td> <p>67.00</p> </td> <td> <p>22.10</p> </td> <td> <p>711</p> </td> <td> <p>376</p> </td> <td> <p>507</p> </td> <td> <p>10.12</p> </td> <td> <p>733</p> </td> <td> <p>402</p> </td> <td> <p>538</p> </td> <td> <p>10.24</p> </td> <td> <p>791</p> </td> <td> <p>432</p> </td> <td> <p>575</p> </td> <td> <p>11.34</p> </td> <td> <p>866</p> </td> <td> <p>448</p> </td> <td> <p>613</p> </td> <td> <p>13.48</p> </td> </tr> <tr> <td> <p>20.00</p> </td> <td> <p>170.00</p> </td> <td> <p>72.00</p> </td> <td> <p>24.90</p> </td> <td> <p>673</p> </td> <td> <p>367</p> </td> <td> <p>503</p> </td> <td> <p>9.02</p> </td> <td> <p>697</p> </td> <td> <p>356</p> </td> <td> <p>534</p> </td> <td> <p>10.24</p> </td> <td> <p>741</p> </td> <td> <p>381</p> </td> <td> <p>570</p> </td> <td> <p>11.03</p> </td> <td> <p>808</p> </td> <td> <p>412</p> </td> <td> <p>608</p> </td> <td> <p>12.38</p> </td> </tr> <tr> <td> <p>19.00</p> </td> <td> <p>172.00</p> </td> <td> <p>62.00</p> </td> <td> <p>21.00</p> </td> <td> <p>566</p> </td> <td> <p>290</p> </td> <td> <p>434</p> </td> <td> <p>8.13</p> </td> <td> <p>553</p> </td> <td> <p>305</p> </td> <td> <p>445</p> </td> <td> <p>7.35</p> </td> <td> <p>579</p> </td> <td> <p>311</p> </td> <td> <p>468</p> </td> <td> <p>8.11</p> </td> <td> <p>604</p> </td> <td> <p>346</p> </td> <td> <p>502</p> </td> <td> <p>7.99</p> </td> </tr> <tr> <td> <p>21.00</p> </td> <td> <p>171.00</p> </td> <td> <p>73.00</p> </td> <td> <p>25.00</p> </td> <td> <p>769</p> </td> <td> <p>295</p> </td> <td> <p>513</p> </td> <td> <p>13.84</p> </td> <td> <p>789</p> </td> <td> <p>304</p> </td> <td> <p>527</p> </td> <td> <p>14.26</p> </td> <td> <p>824</p> </td> <td> <p>329</p> </td> <td> <p>563</p> </td> <td> <p>14.91</p> </td> <td> <p>878</p> </td> <td> <p>390</p> </td> <td> <p>610</p> </td> <td> <p>15.17</p> </td> </tr> <tr> <td> <p>19.00</p> </td> <td> <p>179.00</p> </td> <td> <p>76.00</p> </td> <td> <p>23.70</p> </td> <td> <p>908</p> </td> <td> <p>305</p> </td> <td> <p>551</p> </td> <td> <p>17.56</p> </td> <td> <p>944</p> </td> <td> <p>330</p> </td> <td> <p>574</p> </td> <td> <p>18.18</p> </td> <td> <p>982</p> </td> <td> <p>362</p> </td> <td> <p>600</p> </td> <td> <p>18.67</p> </td> <td> <p>1029</p> </td> <td> <p>394</p> </td> <td> <p>647</p> </td> <td> <p>19.57</p> </td> </tr> <tr> <td> <p>22.00</p> </td> <td> <p>174.00</p> </td> <td> <p>71.00</p> </td> <td> <p>23.50</p> </td> <td> <p>717</p> </td> <td> <p>358</p> </td> <td> <p>517</p> </td> <td> <p>10.72</p> </td> <td> <p>735</p> </td> <td> <p>385</p> </td> <td> <p>543</p> </td> <td> <p>10.63</p> </td> <td> <p>753</p> </td> <td> <p>399</p> </td> <td> <p>565</p> </td> <td> <p>10.93</p> </td> <td> <p>806</p> </td> <td> <p>434</p> </td> <td> <p>606</p> </td> <td> <p>11.74</p> </td> </tr> <tr> <td> <p>21.00</p> </td> <td> <p>183.00</p> </td> <td> <p>77.00</p> </td> <td> <p>23.00</p> </td> <td> <p>1001</p> </td> <td> <p>499</p> </td> <td> <p>675</p> </td> <td> <p>15.91</p> </td> <td> <p>1028</p> </td> <td> <p>540</p> </td> <td> <p>711</p> </td> <td> <p>15.78</p> </td> <td> <p>1035</p> </td> <td> <p>592</p> </td> <td> <p>760</p> </td> <td> <p>14.67</p> </td> <td> <p>1100</p> </td> <td> <p>606</p> </td> <td> <p>804</p> </td> <td> <p>16.66</p> </td> </tr> </tbody> </table> <p>&nbsp;</p>

opencc-by-4.0Sep 2022View details →
zenodo36/100

Dataset - Anaerobic co-digestion of waste yeast biomass from citric acid production and waste frying fat

<p>Excel document that contains the data of the journal article &ldquo;Moeller et al. (2018) Anaerobic co-digestion of waste yeast biomass from citric acid production and waste frying fat&rdquo;. The dataset includes&nbsp;all values obtained during the experimental period and it complements the corresponding article.</p>

opencc-by-nc-nd-4.0Apr 2018View details →
zenodo36/100

Dataset - Biogas production from concentrated yeast biomass by anaerobic (co)-digestion

<p>Excel document that contains the data of the anaerobic digestion of concentrated yeast biomass as mono-substrate under mesophilic and thermophilic conditions. The dataset includes all values obtained during the experimental period from 11/2018 &ndash; 08/2019. The data were obtained as measurement data of the experimental work on biogas production. These data form the basis for the calculation of yields and productivities and for evaluating the process stability.</p>

opencc-by-nc-nd-4.0Dec 2018View details →
zenodo36/100

Unlocking higher methane yields and digestate nitrogen availability in soil through thermal treatment of feedstocks in a two-step anaerobic digestion- Dataset

<p>This is a data set for the article "<span>Unlocking higher methane yields and digestate nitrogen availability in soil through thermal treatment of feedstocks in a two-step anaerobic digestion",&nbsp; published in Chemical and Biological Technologies in Agriculture journal.</span></p>

opencc-by-4.0Nov 2024View details →
dryad36/100

Data from: Volatile fatty acid concentration, soil pH and soil texture during anaerobic soil conditions affect germination of Athelia (Sclerotium) rolfsii sclerotia

<p>Anaerobic growth chamber trials were conducted to evaluate effects of VFA and VFA concentration, and interactions with soil pH and soil texture, on <i>A. rolfsii</i> sclerotia germination. In the first objective, sclerotia were exposed to 4, 8, or 16 mmol/kg soil of acetic or <i>n</i>-butyric acids in sandy soil; soil pH was buffered to 5, 6, or 7. In the second objective, sclerotia in sandy or sandy loam soil were exposed to 4 or 16 mmol VFA/kg soil at soil pH 5 or 6. VFAs are probable important factors in <i>A. rolfsii </i>suppression<i> </i>due to ASD treatment in many soil environments, and activity is dependent on VFA concentration, soil solution pH, and soil texture.</p>

opencc-zeroSep 2021View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record