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147 results for “dynamic processes”
Plant aboveground biomass carbon and nitrogen: Herbivory by Nitrogen Interactive Effects on Community and Ecosystem Processes and Dynamics
E172 is an herbivory experiment established by Dave Tilman in fall 2004 by enclosing in deer fences three randomly selected plots from the six replicates of each control and each treatment in the N addition E001 experiment in field C. These plots still receive the nutrient treatments prescribed in the Experiment 001 protocols. From 1982-2004 a fence containing all of e001 plots in Field C was designed to exclude deer and all small mammals, including mice, voles and pocket gophers. This fence was removed in Fall of 2004 and individual plots designated for e172 were enclosed in deer fences. The purpose of E001 was to measure how adding nitrogen over a long time would affect the number of species, the type of species present, the amount of annual growth, and the change from year to year in the growth of each species in a plant community which is also relieved of grazing by large and small mammals. There are 8 different levels of nitrogen addition with other nutrients added to ensure that nitrogen remains the limiting nutrient, and a control which receives no nutrients. The plots are in a 6 by 9 grid and are 4 by 4 meters in size with 1 meter aisles between plots. Nitrogen fertilizer (NH4NO3) is applied twice per year, once in early May and once in late June.
Root biomass data: Herbivory by Nitrogen Interactive Effects on Community and Ecosystem Processes and Dynamics
E172 is an herbivory experiment established by Dave Tilman in fall 2004 by enclosing in deer fences three randomly selected plots from the six replicates of each control and each treatment in the N addition E001 experiment in field C. These plots still receive the nutrient treatments prescribed in the Experiment 001 protocols. From 1982-2004 a fence containing all of e001 plots in Field C was designed to exclude deer and all small mammals, including mice, voles and pocket gophers. This fence was removed in Fall of 2004 and individual plots designated for e172 were enclosed in deer fences. The purpose of E001 was to measure how adding nitrogen over a long time would affect the number of species, the type of species present, the amount of annual growth, and the change from year to year in the growth of each species in a plant community which is also relieved of grazing by large and small mammals. There are 8 different levels of nitrogen addition with other nutrients added to ensure that nitrogen remains the limiting nutrient, and a control which receives no nutrients. The plots are in a 6 by 9 grid and are 4 by 4 meters in size with 1 meter aisles between plots. Nitrogen fertilizer (NH4NO3) is applied twice per year, once in early May and once in late June.
Root carbon/nitrogen data: Herbivory by Nitrogen Interactive Effects on Community and Ecosystem Processes and Dynamics
E172 is an herbivory experiment established by Dave Tilman in fall 2004 by enclosing in deer fences three randomly selected plots from the six replicates of each control and each treatment in the N addition E001 experiment in field C. These plots still receive the nutrient treatments prescribed in the Experiment 001 protocols. From 1982-2004 a fence containing all of e001 plots in Field C was designed to exclude deer and all small mammals, including mice, voles and pocket gophers. This fence was removed in Fall of 2004 and individual plots designated for e172 were enclosed in deer fences. The purpose of E001 was to measure how adding nitrogen over a long time would affect the number of species, the type of species present, the amount of annual growth, and the change from year to year in the growth of each species in a plant community which is also relieved of grazing by large and small mammals. There are 8 different levels of nitrogen addition with other nutrients added to ensure that nitrogen remains the limiting nutrient, and a control which receives no nutrients. The plots are in a 6 by 9 grid and are 4 by 4 meters in size with 1 meter aisles between plots. Nitrogen fertilizer (NH4NO3) is applied twice per year, once in early May and once in late June.
Small mammal abundance: Herbivory by Nitrogen Interactive Effects on Community and Ecosystem Processes and Dynamics
E172 is an herbivory experiment established by Dave Tilman in fall 2004 by enclosing in deer fences three randomly selected plots from the six replicates of each control and each treatment in the N addition E001 experiment in field C. These plots still receive the nutrient treatments prescribed in the Experiment 001 protocols. From 1982-2004 a fence containing all of e001 plots in Field C was designed to exclude deer and all small mammals, including mice, voles and pocket gophers. This fence was removed in Fall of 2004 and individual plots designated for e172 were enclosed in deer fences. The purpose of E001 was to measure how adding nitrogen over a long time would affect the number of species, the type of species present, the amount of annual growth, and the change from year to year in the growth of each species in a plant community which is also relieved of grazing by large and small mammals. There are 8 different levels of nitrogen addition with other nutrients added to ensure that nitrogen remains the limiting nutrient, and a control which receives no nutrients. The plots are in a 6 by 9 grid and are 4 by 4 meters in size with 1 meter aisles between plots. Nitrogen fertilizer (NH4NO3) is applied twice per year, once in early May and once in late June.
Soil Calcium: Herbivory by Nitrogen Interactive Effects on Community and Ecosystem Processes and Dynamics
E172 is an herbivory experiment established by Dave Tilman in fall 2004 by enclosing in deer fences three randomly selected plots from the six replicates of each control and each treatment in the N addition E001 experiment in field C. These plots still receive the nutrient treatments prescribed in the Experiment 001 protocols. From 1982-2004 a fence containing all of e001 plots in Field C was designed to exclude deer and all small mammals, including mice, voles and pocket gophers. This fence was removed in Fall of 2004 and individual plots designated for e172 were enclosed in deer fences. The purpose of E001 was to measure how adding nitrogen over a long time would affect the number of species, the type of species present, the amount of annual growth, and the change from year to year in the growth of each species in a plant community which is also relieved of grazing by large and small mammals. There are 8 different levels of nitrogen addition with other nutrients added to ensure that nitrogen remains the limiting nutrient, and a control which receives no nutrients. The plots are in a 6 by 9 grid and are 4 by 4 meters in size with 1 meter aisles between plots. Nitrogen fertilizer (NH4NO3) is applied twice per year, once in early May and once in late June.
Soil carbon: Herbivory by Nitrogen Interactive Effects on Community and Ecosystem Processes and Dynamics
E172 is an herbivory experiment established by Dave Tilman in fall 2004 by enclosing in deer fences three randomly selected plots from the six replicates of each control and each treatment in the N addition E001 experiment in field C. These plots still receive the nutrient treatments prescribed in the Experiment 001 protocols. From 1982-2004 a fence containing all of e001 plots in Field C was designed to exclude deer and all small mammals, including mice, voles and pocket gophers. This fence was removed in Fall of 2004 and individual plots designated for e172 were enclosed in deer fences. The purpose of E001 was to measure how adding nitrogen over a long time would affect the number of species, the type of species present, the amount of annual growth, and the change from year to year in the growth of each species in a plant community which is also relieved of grazing by large and small mammals. There are 8 different levels of nitrogen addition with other nutrients added to ensure that nitrogen remains the limiting nutrient, and a control which receives no nutrients. The plots are in a 6 by 9 grid and are 4 by 4 meters in size with 1 meter aisles between plots. Nitrogen fertilizer (NH4NO3) is applied twice per year, once in early May and once in late June.
Soil magnesium: Herbivory by Nitrogen Interactive Effects on Community and Ecosystem Processes and Dynamics
E172 is an herbivory experiment established by Dave Tilman in fall 2004 by enclosing in deer fences three randomly selected plots from the six replicates of each control and each treatment in the N addition E001 experiment in field C. These plots still receive the nutrient treatments prescribed in the Experiment 001 protocols. From 1982-2004 a fence containing all of e001 plots in Field C was designed to exclude deer and all small mammals, including mice, voles and pocket gophers. This fence was removed in Fall of 2004 and individual plots designated for e172 were enclosed in deer fences. The purpose of E001 was to measure how adding nitrogen over a long time would affect the number of species, the type of species present, the amount of annual growth, and the change from year to year in the growth of each species in a plant community which is also relieved of grazing by large and small mammals. There are 8 different levels of nitrogen addition with other nutrients added to ensure that nitrogen remains the limiting nutrient, and a control which receives no nutrients. The plots are in a 6 by 9 grid and are 4 by 4 meters in size with 1 meter aisles between plots. Nitrogen fertilizer (NH4NO3) is applied twice per year, once in early May and once in late June.
Soil nitrate and ammonium: Herbivory by Nitrogen Interactive Effects on Community and Ecosystem Processes and Dynamics
E172 is an herbivory experiment established by Dave Tilman in fall 2004 by enclosing in deer fences three randomly selected plots from the six replicates of each control and each treatment in the N addition E001 experiment in field C. These plots still receive the nutrient treatments prescribed in the Experiment 001 protocols. From 1982-2004 a fence containing all of e001 plots in Field C was designed to exclude deer and all small mammals, including mice, voles and pocket gophers. This fence was removed in Fall of 2004 and individual plots designated for e172 were enclosed in deer fences. The purpose of E001 was to measure how adding nitrogen over a long time would affect the number of species, the type of species present, the amount of annual growth, and the change from year to year in the growth of each species in a plant community which is also relieved of grazing by large and small mammals. There are 8 different levels of nitrogen addition with other nutrients added to ensure that nitrogen remains the limiting nutrient, and a control which receives no nutrients. The plots are in a 6 by 9 grid and are 4 by 4 meters in size with 1 meter aisles between plots. Nitrogen fertilizer (NH4NO3) is applied twice per year, once in early May and once in late June.
Soil nitrogen: Herbivory by Nitrogen Interactive Effects on Community and Ecosystem Processes and Dynamics
E172 is an herbivory experiment established by Dave Tilman in fall 2004 by enclosing in deer fences three randomly selected plots from the six replicates of each control and each treatment in the N addition E001 experiment in field C. These plots still receive the nutrient treatments prescribed in the Experiment 001 protocols. From 1982-2004 a fence containing all of e001 plots in Field C was designed to exclude deer and all small mammals, including mice, voles and pocket gophers. This fence was removed in Fall of 2004 and individual plots designated for e172 were enclosed in deer fences. The purpose of E001 was to measure how adding nitrogen over a long time would affect the number of species, the type of species present, the amount of annual growth, and the change from year to year in the growth of each species in a plant community which is also relieved of grazing by large and small mammals. There are 8 different levels of nitrogen addition with other nutrients added to ensure that nitrogen remains the limiting nutrient, and a control which receives no nutrients. The plots are in a 6 by 9 grid and are 4 by 4 meters in size with 1 meter aisles between plots. Nitrogen fertilizer (NH4NO3) is applied twice per year, once in early May and once in late June.
Soil phosphorous: Herbivory by Nitrogen Interactive Effects on Community and Ecosystem Processes and Dynamics
E172 is an herbivory experiment established by Dave Tilman in fall 2004 by enclosing in deer fences three randomly selected plots from the six replicates of each control and each treatment in the N addition E001 experiment in field C. These plots still receive the nutrient treatments prescribed in the Experiment 001 protocols. From 1982-2004 a fence containing all of e001 plots in Field C was designed to exclude deer and all small mammals, including mice, voles and pocket gophers. This fence was removed in Fall of 2004 and individual plots designated for e172 were enclosed in deer fences. The purpose of E001 was to measure how adding nitrogen over a long time would affect the number of species, the type of species present, the amount of annual growth, and the change from year to year in the growth of each species in a plant community which is also relieved of grazing by large and small mammals. There are 8 different levels of nitrogen addition with other nutrients added to ensure that nitrogen remains the limiting nutrient, and a control which receives no nutrients. The plots are in a 6 by 9 grid and are 4 by 4 meters in size with 1 meter aisles between plots. Nitrogen fertilizer (NH4NO3) is applied twice per year, once in early May and once in late June.
Soil potassium: Herbivory by Nitrogen Interactive Effects on Community and Ecosystem Processes and Dynamics
E172 is an herbivory experiment established by Dave Tilman in fall 2004 by enclosing in deer fences three randomly selected plots from the six replicates of each control and each treatment in the N addition E001 experiment in field C. These plots still receive the nutrient treatments prescribed in the Experiment 001 protocols. From 1982-2004 a fence containing all of e001 plots in Field C was designed to exclude deer and all small mammals, including mice, voles and pocket gophers. This fence was removed in Fall of 2004 and individual plots designated for e172 were enclosed in deer fences. The purpose of E001 was to measure how adding nitrogen over a long time would affect the number of species, the type of species present, the amount of annual growth, and the change from year to year in the growth of each species in a plant community which is also relieved of grazing by large and small mammals. There are 8 different levels of nitrogen addition with other nutrients added to ensure that nitrogen remains the limiting nutrient, and a control which receives no nutrients. The plots are in a 6 by 9 grid and are 4 by 4 meters in size with 1 meter aisles between plots. Nitrogen fertilizer (NH4NO3) is applied twice per year, once in early May and once in late June.
War of Words: The Competitive Dynamics of Legislative Processes
<p><strong>Update: A newer version of this dataset is available <a href="https://zenodo.org/record/4709248#.YXesJS8itqs">here</a>.</strong><strong> </strong>It comes with features extracted from the MEPs, the edits, and the dossiers, such as the <strong>nationality</strong> of MEPs, the <strong>type of law </strong>being edited, and the <strong>text of the edits</strong>. Check it out!</p> <p>This upload contains the dataset presented and used in the paper:</p> <blockquote> <p>Kristof, V., Grossglauser, M., Thiran, P., <a href="https://infoscience.epfl.ch/record/275473/"><em>War of Words: The Competitive Dynamics of Legislative Processes</em></a>, The Web Conference, April 20-24, 2020, Taipei, Taiwan</p> </blockquote> <p><strong>Read Section 2.2 of the paper to learn more about the European legislative process. </strong>The code to process and use the dataset can be found on <a href="https://github.com/indy-lab/war-of-words">GitHub</a>.</p> <p>The dataset is split into two legislature periods of the European Parliament, the 7th (<strong>war-of-words-ep7.txt</strong>) and the 8th (<strong>war-of-words-ep8.txt</strong>) legislature. Here is a snippet to load the dataset (for EP7 in this example) in Python:</p> <pre><code class="language-python">import json with open('path/to/war-of-words-ep7.txt') as f: dataset = [json.loads(l) for l in f.readlines()] </code></pre> <p>In the two text files, each line is a data point representing a <em>conflict between edits</em>. It is encoded as a JSON list of dictionaries, where each dictionary is an edit. Each edit has the following structure:</p> <pre><code class="language-json">{ 'edit_id': 163187, // Unique edit identifier. 'accepted': True, // Label. 'dossier_ref': 'ENVI-AD(2012)487738', // Reference to dossier (see below). 'authors': [ // List of authors. { 'id': 4550, // Unique MEP identifier (see below). 'name': 'Jill EVANS', // MEP name. 'rapporteur': False // Whether the MEP is rapporteur. }, ], }</code></pre> <p>You can assume that:</p> <ul> <li>Each data point has at least one edit.</li> <li>If there is only one edit, then it is <em>in conflict with the status quo </em>(see Section 4 of the paper).</li> <li>If there are two or more edits in conflict, then they are all in conflict against each other <em>and</em> they are in conflict with the status quo (see Section 4 of the paper).</li> <li>At most one edit is accepted in each data point.</li> <li>In each legislature, each edit has a unique identifier.</li> <li>There are no timestamps associated with edits (see Section 3 of the paper). </li> </ul> <p>The <strong>dossier_ref</strong> can be used to get more information on the dossier. It is formatted as <strong>COMM-TYPE(YEAR)PENUMBER </strong>(this follows the notation of file names used by the Parliament Secretariat), where</p> <ul> <li><strong>COMM</strong> is the <a href="https://www.europarl.europa.eu/committees/en/about/introduction">committee</a> identifier (4 capital letters)</li> <li><strong>TYPE</strong> is either <strong>AD</strong> (opinion) or <strong>A{7,8}</strong> (report for EP7 or EP8, see Section 2.2 of the paper)</li> <li><strong>YEAR</strong> is the year the dossier has been voted</li> <li><strong>PENUMBER</strong> is the "PE number", a document identifier used by the European Parliament</li> </ul> <p>You can browse the Parliament documents to find details about the dossier for <a href="https://www.europarl.europa.eu/committees/en/archives/7/document-search">EP7</a> and <a href="https://www.europarl.europa.eu/committees/en/archives/8/document-search">EP8</a> (the PE number field should be enough).</p> <p>The parliamentarians (MEPs, for Member of the European Parliament) have a unique identifier that you can use to get more details about them on the Parliament website: Go to <strong>https://www.europarl.europa.eu/meps/en/MEP_ID</strong>, where <strong>MEP_ID </strong>is the id of the MEP of interest.</p> <p>This dataset is vowed to become richer: I will add more features, as I am able to extract them.</p> <p> </p> <p><strong>Don't hesitate to <a href="mailto:victor.kristof@epfl.ch?subject=Question%20about%20the%20War%20of%20Words%20dataset">reach out to me</a> if you have any questions!</strong></p> <p> </p> <p>To cite this work:</p> <pre><code>@inproceedings{kristof2020war, author = {Kristof, Victor and Grossglauser, Matthias and Thiran, Patrick}, title = {War of Words: The Competitive Dynamics of Legislative Processes}, year = {2020}, booktitle = {Proceedings of The Web Conference 2020}, pages = {2803–2809}, numpages = {7}, location = {Taipei, Taiwan}, series = {WWW '20} }</code></pre> <p> </p>
Data from: Regulation of reproductive processes with Dynamic Energy Budgets
1. Linking organismal level processes to underlying suborganismal mechanisms at the molecular, cellular and organ level constitutes a major challenge for predictive ecological risk assessments. This challenge can be addressed with the simple bioenergetic models in the family of Dynamic Energy Budget (DEB), which consist of a small number of state equations quantifying universal processes, such as feeding, maintenance, development, reproduction and growth. 2. Motivated by the need for process-based models to evaluate the impact of endocrine disruptors on ecologically relevant endpoints, this paper develops and evaluates two general modeling modules describing demand-driven feedback mechanisms within the DEB modeling framework exerted by gonads on the allocation of resources to production of reproductive matter. 3. These modules describe iteroparous, semelparous and batch-mode reproductive strategies. The modules have a generic form with both positive and negative feedback components; species and sex specific attributes of endocrine regulation can be added without changing the core of the modules. 4. We demonstrate that these modules successfully describe time-resolved measurements of wet weight of body, ovaries and liver, egg diameter and plasma content of vitellogenin and estradiol in rainbow trout (Oncorynchus mykiss) by fitting these models to published and new data, which require the estimation of less than two parameters per data type. 5. We illustrate the general applicability of the concept of demand-driven allocation of resources to reproduction by evaluating one of the modules with data on growth and seed production of an annual plant, the common bean (Phaseolis vulgaris).
Data from: Dynamic pore structure evolution of the ion adsorbed rare earth ore during the ion exchange process
<p><span>During the leaching process of the ion adsorbed rare earth ore, the pore structure evolution of the ore body plays a vital role in the seepage of the leaching solution. To investigate the evolution of the pore structure during the leaching process, experiments have been carried out with remodeled rare earth ore samples based on physical characteristics of in-situ ores. The seepage rate difference between deionized water leaching solution and 2% NH<sub>4</sub>Cl leaching solution during the active leaching period are analyzed. The porosity and the dynamic pore size evolution of pore structures in the ore body are discussed. Results indicate that along with ion exchange between the rare earth ore and the leaching solution, the porosity of the sample remains constant and the pore structure shows a decreasing trend in the first part and an increasing trend in the second part. Specifically, during the ion exchange process, the number of minimal pores (0~5μm), small pores (5~10μm), and medium pores (10~25μm) increases significantly and the number of medium-large pores (25~60μm), large pores (60~120μm), and mega pores (>120μm) decreases dramatically. Along with the completion of the ion exchange process, the evolution of porous structure shows an opposite trend. The mechanism study reveals that the evolution of pore structure is induced by the difference of ionic strength in the leaching solution during the ion exchange process, where the rare earth ore microparticles will be absorbed or desorbed on to the solid phase.</span></p>
Data from: Scaling of processes shaping the clonal dynamics and genetic mosaic of seagrasses through temporal genetic monitoring
Theoretically, the dynamics of clonal and genetic diversities of clonal plant populations are strongly influenced by the competition among clones and rate of seedling recruitment, but little empirical assessment has been made of such dynamics through temporal genetic surveys. We aimed to quantify 3 years of evolution in the clonal and genetic composition of Zostera marina meadows, comparing parameters describing clonal architecture and genetic diversity at nine microsatellite markers. Variations in clonal structure revealed a decrease in the evenness of ramet distribution among genets. This illustrates the increasing dominance of some clonal lineages (multilocus lineages, MLLs) in populations. Despite the persistence of these MLLs over time, genetic differentiation was much stronger in time than in space, at the local scale. Contrastingly with the short-term evolution of clonal architecture, the patterns of genetic structure and genetic diversity sensu stricto (that is, heterozygosity and allelic richness) were stable in time. These results suggest the coexistence of (i) a fine grained (at the scale of a 20 × 30 m quadrat) stable core of persistent genets originating from an initial seedling recruitment and developing spatial dominance through clonal elongation; and (ii) a local (at the scale of the meadow) pool of transient genets subjected to annual turnover. This simultaneous occurrence of initial and repeated recruitment strategies highlights the different spatial scales at which distinct evolutionary drivers and mating systems (clonal competition, clonal growth, propagule dispersal and so on) operate to shape the dynamics of populations and the evolution of polymorphism in space and time.
Data of 3D MHD Simulation for manuscript "Characteristics of Transpolar Arc Motion and its Corresponding Magnetospheric Dynamic Process"
<p>Data of 3D MHD Simulation for manuscript "Characteristics of Transpolar Arc Motion and its Corresponding Magnetospheric Dynamic Process"</p> <p>There are 6 types of data files:</p> <p>1) -3)MHD simulation results for FAC, plasma density, and temperature, projected at the x = -40RE position, with the viewpoint from the magnetotail towards the earth</p> <p>4) FAC mapping.rar. These data are the parametters in the plane of about Z=0 RE, which were mapped to the 7.2 Re, along the magnetic field lines.</p> <p>5) The simulation results of the model are plotted for FAC on Z=0RE.</p> <p>The results of the above data simulation plot are from 20171115 23:00 UT to 20171116 02:00 UT.</p> <p>6) XXBDd0142.rar, which is full 3D Simulation data at 2017.11.16 01:22 UT;</p> <p>All of these data include the following parameters:</p> <p>time, x, y, z, logrho, Vx, Vy, Vz, Bx, By, Bz, Pr, Jx, Jy, Jz, Edj</p> <p>7) SSUSI data at 2017.11.16.</p> <p> </p>
Learning the intrinsic dynamics of spatio-temporal processes through Latent Dynamics Networks: dataset
<p>This repository contains the data accompanying the paper "<em>Learning the intrinsic dynamics of spatio-temporal processes through Latent Dynamics Networks</em>", by Francesco Regazzoni, Stefano Pagani, Matteo Salvador, Luca Dedè and Alfio Quarteroni.</p> <p>The associated codes are available in the repository <a href="https://github.com/FrancescoRegazzoni/LDNets">https://github.com/FrancescoRegazzoni/LDNets</a></p>
Supplementary data: Predicting grid frequency short-term dynamics with Gaussian processes and sequence modeling
<p>This repository contains data and result files for the paper "Predicting grid frequency short-term dynamics with Gaussian processes and sequence modelling". The code to generate the models and reproduce the results of the comparative study in the above paper is available on this <a href="https://github.com/bolin-liu/sequence-model-and-gaussian-process-for-frequency-prediction">github repository</a></p> <p><strong>Supplementary data</strong>:</p> <p>- The <strong>trained_models</strong> folder contains the results of the trained models.</p> <p>- The folder <strong>data</strong> contains data needed for for the comparative study for the year 2019 in the paper above. This data set (except knn_point_predictions.npy) is generated with the code in this <a href="https://github.com/johkruse/PIML-for-grid-frequency-modelling">github repository</a>. knn_point_predictions.npy is generated with the code in this <a href="https://github.com/bolin-liu/sequence-model-and-gaussian-process-for-frequency-prediction">github repository </a>.</p>
Seismogenic process of fluid injection revealed by in situ dynamic CT scanning
<p>In the process of unconventional energy exploitation, large volumes of fluid are injected into low permeability reservoirs for hydraulic transformation to generate a fracture network conducive to fluid migration. Unfortunately, extensive fluid injection can induce earthquakes, endangering human lives and causing serious economic losses. Understanding the seismogenic process of fluid injection within a reservoir helps to minimize the induced earthquakes. To better monitor the deformation changes in reservoirs, we conducted in situ dynamic X-ray computed tomography (CT) during a series of experiments lasting 3 minutes for real-time identification of the location and geometry of hydraulic fractures and found that the seismogenic process of fluid injection with a wide range of frequencies is triggered by water–rock interactions.</p> <p>The data we uploaded can be divided into two main parts. The first part is the confining, axial and water injection pressures recorded during the hydraulic fracturing experiment. The second part is the CT scans of the rock sample during the hydraulic fracturing experiment.</p>
Dataset Dynamics of Clostridium perfringens in BSF production process
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