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695 results for “Decomposition”
Thermal decomposition data of uranium containing microspheres produced via internal gelation and ammonium diuranate powder
<p>A combination of simultaneous thermal analysis, evolved gas analysis and non-ambient XRD techniques was used to characterise and investigate the thermal decomposition behaviour in the NH<sub>3</sub> − UO<sub>3</sub> − H<sub>2</sub>O class of materials.</p> <p>One compound was prepared according to a typical ammonium diuranate precipitation reaction, and could be identified as 3UO<sub>3</sub>·NH<sub>3</sub>·5H<sub>2</sub>O. Microspheres prepared by the sol-gel method via internal gelation were associated to the composition 3UO<sub>3</sub>·2NH<sub>3</sub>·4H<sub>2</sub>O under the specified conditions.</p> <p>The products were analysed using the techniques listed below, the resulting data are part of this dataset.</p> <ul> <li>TGA, combined with EGA-MS (<em>T<sub>max</sub></em> = 1300 °C, heating rate = 2 °C/min)</li> <li>TG-DSC, combined with EGA-MS (<em>T<sub>max</sub></em> = 1300 °C, heating rate = 10 °C/min)</li> <li>ambient XRD (dried products after synthesis)</li> <li><em>in-situ</em> high temperature XRD (including initial and final scans, taken at 35 °C) <ul> <li><em>T<sub>max</sub></em> for 3UO<sub>3</sub>·NH<sub>3</sub>·5H<sub>2</sub>O = 1300 °C; <em>T<sub>max</sub></em> for 3UO<sub>3</sub>·2NH<sub>3</sub>·4H<sub>2</sub>O = 650 °C</li> <li>Samples measured directly on a Pt/Rh heating strip (Pt/Rh phase visible in patterns, blank scan included)</li> </ul> </li> </ul>
Catalog Data for Prior-Informed AGN-Host Spectral Decomposition Using PyQSOFit
<p>This catalog contains 76,565 AGN-host decomposed spectral measurements for all quasars with z<0.8 in SDSS DR16Q. Our prior-informed decomposition method significantly improved the decomposition success rate from less than 60% to 94%. For the first time, we perform the AGN-host spectral decomposition on survey scale catalog.</p> <p>Our spectral decomposition results are highly consistent to those of HSC image decomposition. Our catalog suggests that an average host galaxy contribution at 5100A is 38.8%, which would lead to an overestimation of 0.215 dex in L5100 and 0.219 dex in black hole mass if the host is not removed. The Dn4000 and stellar velocity dispersion measurements from the decomposed host galaxy spectra are also provided.</p> <p>Please read this paper for more techinique details: <a href="https://arxiv.org/abs/2406.17598">arXiv: 2406.17598</a></p>
Decomposition data in organic, permaculture and conventional horticultural farms of Central Hungary
<p>This dataset has been produced from the PhD research of Alfréd Szilágyi supervised by Csaba Centeri and Eszter Kovács Tormáné. The study compared permaculture, organic and conventional farming systems regarding their ecosystem-service provision potential and sustainability. Multiple ecological indicators were measured in the field during the field study in 2020, and the basic datasets (soil test results; photo gallery of the studied farms with soil core sample; soil resistance and moisture; decomposition; earthworms; nematodes; soil surface fauna; pollinators; agrobiodiversity and habitat types) are uploaded in Zenodo separately to provide scientific data on permaculture systems. In this way, we hope to contribute to international efforts to evaluate the performance of agroecological agriculture alternatives. These publications also serve as supplements to the PhD thesis. For the sake of further usability of the datasets short description of the used methods is described. For further information please contact the authors.</p>
Data of uranyl-, Nd-, Ce-hydrolysis and their mixtures induced by thermal decomposition of urea
<p>The hydrolysis of UO<sub>2</sub><sup>2+</sup>, Nd<sup>III</sup> , Ce<sup>III</sup> and Ce<sup>IV</sup> cations, induced by thermal decomposition of urea, was studied. Moreover, we investigated binary mixtures of uranyl and the lanthanides, as well as ternary mixtures of uranyl and both lanthanides using Ce<sup>III</sup> or Ce<sup>IV</sup>. The impact of the urea content and the temperature on the reaction kinetics and the formed precipitate was evaluated and the results are in depth discussed in <a href="https://doi.org/10.1002/ejic.202100453">our article</a>, some results are also summarised in <a href="https://doi.org/10.5281/zenodo.5034714">this presentation</a>.</p> <p>Uranyl ions precipitated as ammonium diuranate (ADU) with different stoichiometry under the applied conditions. Nd<sup>III</sup> and Ce<sup>III</sup> cations showed a comparable pH evolution during hydrolysis and <em>Ln</em>CO<sub>3</sub>OH products were identified, whereas Ce<sup>IV</sup> hydrolysed at a lower pH and formed nanocrystalline CeO<sub>2</sub>. Depending on the urea content, a partial co-precipitation was observed for mixtures of UO<sub>2</sub><sup>2+</sup> and Nd<sup>III</sup>. The products of Ce<sup>III</sup> and Ce<sup>IV</sup> hydrolysis were also identified in the precipitates of binary uranyl and cerium mixtures. For ternary U/Nd/Ce mixtures, a simultaneous precipitation of Nd<sup>III</sup> and Ce<sup>III</sup> and a partial incorporation of the <em>Ln</em> phase into the ADU phase was observed, whereas the presence of Ce<sup>IV</sup>/CeO<sub>2</sub> resulted in three individual phases. The precipitation reaction was followed by monitoring the pH evolution and the metal concentration in the supernatant, applying UV/Vis and ICP-MS. The formed precipitates were characterised by XRD and SEM.</p> <p>The data accrued during the study are part of this data set. Please note that the provision of this dataset is based on a voluntary basis. You are welcome to use the data from this set in your work. If you do so and publish resulting findings, please cite our work as required by the license.</p>
Decomposition Tool Validation Dataset 1
<p>This dataset provides artifacts, benchmarks and models used to evaluate the accuracy of the performance model as well as the corresponding results:</p> <ul> <li>Deployment package of the thumbnail generation function</li> <li>50 images collected to benchmark the actual deployment</li> <li>TOSCA model with the specified open workload and performance requirement</li> <li>Predictions given by the performance model and measurements taken from the cloud platform</li> </ul>
Nutrient controls on carbohydrate and lignin decomposition in beech litter
<p>Raw data for</p> <p>Nutrient controls on carbohydrate and lignin decomposition in beech litter</p> <p>Lukas Kohl, Wolfgang Wanek, Katharina Keiblinger, Ieda Hämmerle, Lucia Fuchslueger, Thomas Schneider, Katharina Riedel, Leo Eberl, Sophie Zechmeister-Boltenstern, Andreas Richter</p> <p>https://doi.org/10.1016/j.geoderma.2022.116276</p>
Dataset used in the publication entitled "Decomposition Problem in Process of Selective Identification and Localization of Voltage Fluctuation Sources in Power Grids" presented at 2022 20th International Conference on Harmonics and Quality of Power (ICHQP)
<p>Dataset obtained from experimental research carried out in a real power grid. Based on the dataset, the problem of decomposition in identification of sources of voltage fluctuations has been presented in the publication: Kuwałek P., Decomposition Problem in Process of Selective Identification and Localization of Voltage Fluctuation Sources in Power Grids, <em>Proceedings of the 20th International Conference on Harmonics and Quality of Power</em>, IEEE , art. no. 43, 2022, Italy, Naples. The description of the power grid model is presented in this publication. The research results are part of the work under the project entitled "Voltage fluctuation diagnostic focused on identification and localization disturbing loads in power grids" funded by the National Science Centre, Poland - 2021/41/N/ST7/00397.</p>
Replication package for Decomposition of Monolithic Applications into Microservices Architectures: A Systematic Review
<p><strong>Replication Package</strong></p> <p><strong>Title:</strong></p> <p>Replication package for Decomposition of Monolithic Applications into Microservices Architectures: A Systematic Review.</p> <p><strong>Authors:</strong></p> <p>Yalemisew Abgaz, Andrew McCarren, Peter Elger, David Solan, Neil Lapuz, Marin Bivol, Glenn Jackson, Murat Yilmaz, Jim Buckley, and Paul Clarke</p> <p><strong>Year</strong></p> <p>This replication package was initially generated in 2022 and following feedback from reviewers, it is revised in 2023.</p> <p>This package contains two files and three folders that provide additional insight for researchers who wish to replicate our work or who would like to expand the review in the future.</p> <p><strong>Files</strong></p> <ul> <li>The file contains a detailed description of the literature search outlining the steps and the results obtained.</li> <li>Readme.md: A readme file (this file).</li> </ul> <p><strong>Folders</strong></p> <ul> <li>A folder containing the search results and the refinement steps. It contains four files listing studies included in the refinement process (Refinement_Step_1 to Refinement_Step_4) and a master file combining all the steps in one file. The master file contains detailed information about how the refinement steps are executed and all the intermediate results following each refinement step. Users may explore by expanding the filters in Refinement Step 2 (J), Refinement Step 3 (M) and Refinement Step 4 § columns in the master sheet. Readers can also directly go to the sheets that contain the selected studies in any of the refinement stages. A description of each file is also included in the Literature_Search_Strategy.pdf file.</li> <li>This folder contains the list of studies included in the snowballing process, including the last two refinement steps (Refinement_Step_5 and Refinement_Step_6). The snowballing master sheet contains studies extracted using the snowballing process and the data cleaning and filtering criteria used. The different sheets also contain the selected studies at each stage of the snowballing process.</li> </ul> <ul> <li>This folder contains the data extracted from the selected literature by employing the Systematic Review and Ground Theory. The two files included in this folder contain the data extraction template and the data extracted from the 35 selected studies including some intermediate notes.</li> </ul> <p>If you have further questions regarding the survey, feel free to contact us via e-mail. <a href="mailto:Yalemisewm.abgaz@dcu.ie">Yalemisewm.abgaz@dcu.ie</a>.</p> <p> </p>
The dual invasion of Amur honeysuckle and Emerald Ash Borer Shifts Fungal Driven Decomposition in Midwestern Forests
Midwestern forests are currently impacted by two prominent invaders, the Emerald Ash Borer (EAB), Agrilus planipennis and Amur honeysuckle, Lonicera maackii. The loss of ash (Fraxinus spp.) trees due to EAB invasion can further facilitate honeysuckle invasion, driving changes in the composition of forest leaf litter. To evaluate the extent to which these changes alter ecosystem function, we conducted litter bag and culture-based decomposition experiments using leaf litter from sugar maple (Acer saccharum), oak (Quercus spp.), black ash (Fraxinus nigra), green ash (Fraxinus pennsylvanica), spicebush (Lindera benzoin), and Amur honeysuckle (Lonicera maackii). To further understand the mechanism driving differences in decay rates, we inoculated six species of decomposing fungi separately onto both single species and multispecies (half honeysuckle and half native species) leaf litter and measured decomposition rate, fungal growth and enzymatic activity in laboratory-based cultures. Honeysuckle leaf litter decomposed faster, had increased fungal growth, and had higher activity for carbon degrading enzymes compared to native species leaf litter. Furthermore, multispecies mixtures followed the same patterns as honeysuckle, suggesting that the addition of honeysuckle to leaf litter will accelerate ecosystem functions related to carbon breakdown. Consequently, forests that experience the invasion of honeysuckle and EAB induced loss of ash are likely to have faster decomposition, potentially resulting in an influx of available nutrients.
Metabolism and decomposition rates from 5 Lake Superior Tributaries, 2018-2019
Ecosystem respiration (ER), and decomposition are fundamental processes driving carbon cycling in streams. Most studies examine rates of autotrophic respiration (AR) and heterotrophic respiration (HR) together as ecosystem respiration (ER), even though these two processes are carried out by different groups of organisms, and these processes, alongside decomposition, may respond differently to ongoing changes in environmental factors. We measured metabolism (gross primary production and ER) and decomposition at eight sites in four streams in the Upper Peninsula of Michigan across gradients of canopy cover and DOC concentrations. We estimated AR and HR using quantile regression and used predictive modeling to determine the environmental drivers that predicted variation in these processes across the study streams. This data archive includes (1) continuous dissolved oxygen and temperature data used to model metabolism, (2) modeled rates of gross primary production, ecosystem respiration, autotrophic respiration and heterotrophic respiration, (3) estimates of decomposition rates determined using cotton strip assays, and (4) environmental model used for predictive modeling
Decomposition of Microstegium vimineum litter, plants grew through the Big Oaks National Wildlife Refuge in 2019. Litter used in this experiment naturally senesced in the fall 2019, decomposition data collected through 2020. Plants were infected or not-infected with the foliar fungal pathogen Bipolaris gigantea during the 2019 growing season.
Decomposition of plant litter, facilitated primarily by microbial decomposers, plays a critical role in biogeochemical cycling and ecosystem function. Emerging pathogens have the potential to impact litter decomposition by altering the chemical composition and associated microbial community of host tissue. Here, we compared litter decomposition of the invasive grass Microstegium vimineum collected from sites with Bipolaris leaf spot symptoms and sites with no apparent disease symptoms in a common garden experiment. Our results revealed that leaf tissue from litter from non-infected sites decomposed more rapidly through the spring than litter from infected sites. Differences in fungal composition between infected and non-infected litter at the start of the experiment largely persisted through the summer. Our work demonstrates that pathogen colonization may facilitate the persistence of infected host litter, potentially slowing the return of nutrients to the environmental pool while also promoting the survival and dispersal of primary inoculum the following season.
LTER Intersite Fine Litter Decomposition Experiment (LIDET), 1990 to 2002
The primary objective of this study is to examine the control that substrate quality and climate have on patterns of long-term decomposition and nitrogen accumulation in above- and below-ground fine litter. Of particular interest will be to examine the degree these two factors control the formation of stable organic matter and nitrogen after extensive decay.
Decomposition of Fine Woody Roots: a Time Series Approach, 1995 to 2006
We examined the effects of species, initial substrate quality, and site differences on woody root decomposition and its nitrogen dynamics in Sitka spruce (Picea sitchensis), Douglas-fir (Pseudotsuga menziesii), and ponderosa pine (Pinus ponderosa) dominated forests in Oregon, U.S.A. using a time series approach. Roots of fourteen species and five size classes were placed in the field to incubate and then collected at pre-planned intervals to determine mass loss and nitrogen content.
Effects of experimentally altered wolf spider densities and warming on soil microarthropods, litter decomposition, litter N, and soil nutrients near Toolik Field Station, AK in summer 2012
Predators can disproportionately impact the structure and function of ecosystems relative to their biomass. These effects may be exacerbated under warming in ecosystems like the Arctic, where the number and diversity of predators are low and small shifts in community interactions can alter carbon cycle feedbacks. Here we show that warming alters the effects of wolf spiders, a dominant tundra predator, on belowground litter decomposition and nutrient dynamics. Specifically, while high densities of wolf spiders result in faster litter decomposition under ambient temperatures, they result instead in slower decomposition under warming. Higher spider densities are also associated with elevated levels of available soil nitrogen, potentially benefitting plant production. Changes in decomposition rates under increased wolf spider densities are accompanied by trends toward fewer fungivorous Collembola under ambient temperatures and more Collembola under warming, suggesting that Collembola mediate the indirect effects of wolf spiders on decomposition. The unexpected reversal of wolf spider effects on Collembola and decomposition suggests that in some cases, warming does not simply alter the strength of top-down effects but instead induces a different trophic cascade altogether. Our results indicate that climate change-induced effects on predators can cascade through other trophic levels, alter critical ecosystem functions, and potentially lead to climate feedbacks with important global implications. Moreover, given the expected increase in wolf spider densities with climate change, our findings suggest that the observed cascading effects of this common predator on detrital processes could potentially buffer concurrent changes in decomposition rates.
Nitrogen cycling at treeline VI. Common Litter Decomposition
To assess spatial and seasonal patterns of pools and fluxes of dissolved inorganic- N (DIN), amino acid- N (AAN) and microbial biomass N (MBN), we conducted in situ soil incubations at four time periods during May 2001 - May 2002: spring thaw, peak growing season, fall senescence and over-winter. The goal was to be consistent in sampling each of these time periods within each mountain range, which was possible due to the 3-4 week lag in phenology (e.g. budbreak or initiation of senescence) between the southernmost and northernmost sites. Sites were sampled in order from south to north. During the spring 2002 sampling period, soils in the Brooks Range thawed prior to those in the White Mts. and the sampling sequence was adjusted to accommodate this. Within each treeline or forested sub-site, a 50 m transect was established parallel with the slope contour of the mountain. Six points were randomly selected along each transect, and soils were sampled near these points for the entire year. Rates of net DIN mineralization and net AAN production were measured using an in situ buried bag technique (Robertson et al., 1999). We used a 6.7 cm diameter steel corer fitted with a perforated, plastic sleeve to collect paired adjacent soil cores, and sampled below the live moss and detritus layers to a depth of 20 cm. The function of the perforated sleeve was to maintain structural integrity of the soil core during sampling. The perforated sleeve containing the intact core was then placed in a 1 mil breathable polyethylene bag followed by a fine mesh bag, gently returned to the original location, covered with litter and left to incubate. Incubation length was 4 weeks for the spring, growing season, and senescence sampling periods, and from September 2001 to early June 2002 for the over-winter sampling period. The second core in each pair was stored on ice and transported to the laboratory in Fairbanks. Soils were rocky at some sites and sampling to 20 cm was not possible; for these
Nitrogen cycling at treeline VII. Laboratory Decomposition
To assess spatial and seasonal patterns of pools and fluxes of dissolved inorganic- N (DIN), amino acid- N (AAN) and microbial biomass N (MBN), we conducted in situ soil incubations at four time periods during May 2001 - May 2002: spring thaw, peak growing season, fall senescence and over-winter. The goal was to be consistent in sampling each of these time periods within each mountain range, which was possible due to the 3-4 week lag in phenology (e.g. budbreak or initiation of senescence) between the southernmost and northernmost sites. Sites were sampled in order from south to north. During the spring 2002 sampling period, soils in the Brooks Range thawed prior to those in the White Mts. and the sampling sequence was adjusted to accommodate this. Within each treeline or forested sub-site, a 50 m transect was established parallel with the slope contour of the mountain. Six points were randomly selected along each transect, and soils were sampled near these points for the entire year. Rates of net DIN mineralization and net AAN production were measured using an in situ buried bag technique (Robertson et al., 1999). We used a 6.7 cm diameter steel corer fitted with a perforated, plastic sleeve to collect paired adjacent soil cores, and sampled below the live moss and detritus layers to a depth of 20 cm. The function of the perforated sleeve was to maintain structural integrity of the soil core during sampling. The perforated sleeve containing the intact core was then placed in a 1 mil breathable polyethylene bag followed by a fine mesh bag, gently returned to the original location, covered with litter and left to incubate. Incubation length was 4 weeks for the spring, growing season, and senescence sampling periods, and from September 2001 to early June 2002 for the over-winter sampling period. The second core in each pair was stored on ice and transported to the laboratory in Fairbanks. Soils were rocky at some sites and sampling to 20 cm was not possible; for these
Log Decomposition Dynamics in Interior Alaska 1 - Site Data
The entire dataset (all 7 files) contains detailed information on a time series study of log decomposition in interior Alaska. The species studied include white and black spruce, aspen, birch, balsam poplar and aspen starting as green trees. In addition white and black spruce in recently burned sites are included. The study was designed to produce a time series of log decomposition measurements over the next 100 years. The information to be measured on the logs includes weight and density changes over specified time periods, changes in nutrient concentrations, and hemicellulose, cellouse, and lignin concentrations, and changes in the quantity of nutrients and hemicellulose, cellouse and lignin. (This file contains descriptive information and location data for the sites used in the log decomposition study.)
Log Decomposition Dynamics in Interior Alaska 2a - Log Data
The entire dataset (all 7 files) contains detailed information on a time series study of log decomposition in interior Alaska. The species studied include white and black spruce, aspen, birch, balsam poplar and aspen starting as green trees. In addition white and black spruce in recently burned sites are included. The study was designed to produce a time series of log decomposition measurements over the next 100 years. The information to be measured on the logs includes weight and density changes over specified time periods, changes in nutrient concentrations, and hemicellulose, cellouse, and lignin concentrations, and changes in the quantity of nutrients and hemicellulose, cellouse and lignin. (This file contains the time zero tree and log physical measurement, and site mapping data for the log decomposition study.)
Log Decomposition Dynamics in Interior Alaska 2b - Log Sampling Schedule
The entire dataset (all 7 files) contains detailed information on a time series study of log decomposition in interior Alaska. The species studied include white and black spruce, aspen, birch, balsam poplar and aspen starting as green trees. In addition white and black spruce in recently burned sites are included. The study was designed to produce a time series of log decomposition measurements over the next 100 years. The information to be measured on the logs includes weight and density changes over specified time periods, changes in nutrient concentrations, and hemicellulose, cellouse, and lignin concentrations, and changes in the quantity of nutrients and hemicellulose, cellouse and lignin. (This file contains the sampling schedule for the log decomposition study.)
Log Decomposition Dynamics in Interior Alaska 3 - Disk Data
The entire dataset (all 7 files) contains detailed information on a time series study of log decomposition in interior Alaska. The species studied include white and black spruce, aspen, birch, balsam poplar and aspen starting as green trees. In addition white and black spruce in recently burned sites are included. The study was designed to produce a time series of log decomposition measurements over the next 100 years. The information to be measured on the logs includes weight and density changes over specified time periods, changes in nutrient concentrations, and hemicellulose, cellouse, and lignin concentrations, and changes in the quantity of nutrients and hemicellulose, cellouse and lignin. (This file contains the sample disk physical measurement data for the log decomposition study.)
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