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6,452 results for “Application”
Data and Analysis Scripts for the Application of the Sprat Marine Ecosystem Model to the Eastern Scotian Shelf
<p>Data and Analysis Scripts for the Application of the Sprat Marine Ecosystem Model to the Eastern Scotian Shelf</p>
Data and Analysis Scripts for the Application of the Sprat Marine Ecosystem Model to the Eastern Scotian Shelf
<p>Data and Analysis Scripts for the Application of the Sprat Marine Ecosystem Model to the Eastern Scotian Shelf</p>
Conservative Interpolation Between Control-Volume Meshes: Application to Advection & Multiphase Flow
<p>Numerical Raw Data pertaining to the Publication linked to the DOI above. Uploaded as per Open Access requirements.</p> <p>The paper itself presents a general, higher order conservative and bounded interpolation for the dynamic and adaptive meshing of continuous and discontinuous control-volume fields. The method is discussed in detail and its robustness and applicability demonstrated through several examples, including advection dominated inertial flow as well multiphase porous media flow.</p> <p> </p>
Models, Simulations, Measurements, and Analysis for Modeling and Simulating Apache Spark Streaming Applications
<p>Palladio component models, simulations results, measurement data, and R analysis script for the publication: Modeling and Simulating Apache Spark Streaming Applications.</p> <p>Symposium on Software Performance (SSP16)</p>
EFFICIENT GENERATION OF RECEIVER OPERATING CHARACTERISTICS FOR THE EVALUATION OF DAMAGE DETECTION IN PRACTICAL STRUCTURAL HEALTH MONITORING APPLICATIONS
<p>Experimentally measured guided wave signal on a pipe over temperature cycles, used in the paper to construct synthetic datasets to evaluate performance of damage detection methods.</p>
Site-specific Design Load Cases for floating offshore wind turbine applications I : Historical data
<p>This document includes a brief description of the <a href="https://leopard.tu-braunschweig.de/receive/dbbs_mods_00077703" target="_blank" rel="noopener">first database</a> on the site-specific Design Load Cases (DLCs) based on historical metocean data. The dataset includes metocean data, statistical analysis and site-specific DLCs across the three areas of study defined in the INF4INiTY project: Scottish Sea, Baltic Sea and Adriatic Sea. In addition to the dataset, this deliverable includes a Graphical User Interface (GUI) for the analysis of specific locations within these three areas and the generation of the site-specific DLCs.<br>The aim of this initial version of the database is to provide a first characterisation of the areas of interest in order to use the DLCs on the design of the different innovations planned in various work packages (WPs) INF4INiTY. As the project proceeds, the second database will extend the site-specific DLCs including forecasted data for different horizons and under diverse climate change scenarios.<br>The deliverable is divided into six brief sections describing the (i) the GUI, (ii) characteristics of the data, (iii) the three areas of study and technological requirements, (iv) historical metocean data, (v) site-specific statistical analysis and reporting, and (vi) site-specific DLCs.</p>
Characterizing Distributed Mobile Augmented Reality Applications at the Edge
<p>README: <a href="https://github.com/cao-jacky/characterizing_edge_mar/">https://github.com/cao-jacky/characterizing_edge_mar</a></p>
PECULIARITIES OF ACTIVE LEARNING METHODS APPLICATION FOR EDUCATIONAL DEVELOPMENT
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Effectiveness of Nutritional Web Application on Nutrition Status Improvement among Patients with Colorectal Cancer
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Data for Development and Evaluation of a North America Ensemble Wildfire Air Quality Forecast: Initial Application to the 2020 Western United States "Gigafire"
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LOCAL FERTILIZER APPLICATION DEVICE BETWEEN COTTON ROWS
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CRITICAL ASSESSMENT OF THE THEORY AND PRACTICE OF QUALITIES, TYPES AND COMMUNICATION IN EDUCATIONAL MANAGEMENT AND LEADERSHIP AND ITS APPLICABILITY IN THE CONTEXT OF LEADING PUBLIC COMPULSORY SCHOOLS IN UZBEKISTAN.
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Data from: The impact of base image selection on the energy efficiency of containerized applications in Docker
<p>Data collected from the workloads in <a href="https://github.com/btjiong/docker-energy">https://github.com/btjiong/docker-energy</a></p><p> </p>
Proteo Dataset (2023) for article "Proteo: A Framework for the Generation and Evaluation of Malleable MPI Applications"
<p>This dataset is the one used by the publication "Proteo: A Framework for the Generation and Evaluation of Malleable MPI Applications". The data are the data processed after the experiments to obtain the graphs and perform the analysis of the two applications shown.</p><p>On the one hand, there are data from the conjugate gradient (CG) execution and on the other hand, data from the Proteo framework, configured to emulate the CG.</p><p>The set is divided into 4 sections, each representing the results obtained for each result section of the article:</p><ul><li><strong>5.3</strong>: Similarity results between CG and Proteo configured to emulate CG. These results were obtained from the previous paper "Configurable synthetic application for studying malleability in HPC" at the PDP2023 conference. It consists of 4 datasheets:<ul><li><i>Nasp CG-VS-Proteo.xlsx</i>: Datasheet showing the total execution, iteration and computation times of Nasp (System_1) with the CG and Proteo. Used to create Figures 7 and 8.</li><li><i>JupiterThor CG-VS-Proteo.xlsx: </i>Datasheet showing the total execution, iteration and computation times of Jupiter (System_2) and Thor (System_3) with the CG and Proteus. Used to create Figures 7 and 8.</li><li><i>Comparison Comms CG Only.xlsx</i>: Datasheet showing MPI_Allgatherv communication times for different sizes on Nasp, Jupiter and Thor systems (System_1, System_2 and System_3). Used to create Table 1.</li><li><i>Comms CV_VS_Proteo.xlsx</i>: Datasheet showing MPI_Allgatherv communication times between the CG and Proteo for different sizes in Nasp, Jupiter and Thor systems (System_1, System_2 and System_3). Used to create Table 2.</li></ul></li><li><strong>5.4.1</strong>: Evaluation of the reconfiguration techniques in isolation of Proteo for synchronous methods. Used to create Figure 9. It is divided into three files:<ul><li><i>dataG.pkl</i>: Contains data on the complete runtimes in Proteo. The description can be found in the file <i>Proteo_dataG_description.txt</i></li><li><i>dataM.pkl</i>: Contains data on reconfiguration times in Proteo. The description can be found in the file <i>Proteo_dataM_description.txt</i></li><li><i>dataL.pkl</i>: Contains data on iteration times in Proteo. The description can be found in the file <i>Proteo_dataL_description.txt</i></li></ul></li><li><strong>5.4.2</strong>: Evaluation of the reconfiguration in a malleable application, CG against Proteo. Used to create Figure 10 and 11. It is divided into two directories, differentiating between CG and Proteus. In total there are the following 5 files:<ul><li><i>dataG.pkl</i>: Contains data on the complete runtimes in Proteo. The description can be found in the file <i>Proteo_dataG_description.txt</i></li><li><i>dataM.pkl</i>: Contains data on reconfiguration times in Proteo. The description can be found in the file <i>Proteo_dataM_description.txt</i></li><li><i>dataL.pkl</i>: Contains data on iteration times in Proteo. The description can be found in the file <i>Proteo_dataL_description.txt</i></li><li><i>dataCG_G.pkl</i>: Contains data on the complete execution times in the CG. The description can be found in the CG<i>_dataG_description.txt</i></li><li><i>dataCG_M.pkl</i>: Contains data on reconfiguration times in the CG. The description can be found in the CG<i>_dataM_description.txt</i></li></ul></li><li><strong>5.4.3</strong>: Evaluation of a malleable emulated application, CG against Proteo. Used to create Figure 12, 13 and 14. It is divided into two directories, differentiating between CG and Proteus. In total there are the following 5 files:<ul><li><i>dataG.pkl</i>: Contains data on the complete runtimes in Proteo. The description can be found in the file <i>Proteo_dataG_description.txt</i></li><li><i>dataM.pkl</i>: Contains data on reconfiguration times in Proteo. The description can be found in the file <i>Proteo_dataM_description.txt</i></li><li><i>dataL.pkl</i>: Contains data on iteration times in Proteo. The description can be found in the file <i>Proteo_dataL_description.txt</i></li><li><i>dataCG_G.pkl</i>: Contains data on the complete execution times in the CG. The description can be found in the CG<i>_dataG_description.txt</i></li><li><i>dataCG_M.pkl</i>: Contains data on reconfiguration times in the CG. The description can be found in the CG<i>_dataM_description.txt</i></li></ul></li></ul>
APPLICATION OF "LINI SEMINA" IN MEDICINE FOR TREATMENT OF GASTROINTESTINAL DISEASES TRACT
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STYPHONOLOBIUM JAPONICUM (SOFORA JAPONICA) THE CHEMICAL COMPOSITION AND APPLICATION IN MEDICINE
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ADVANTAGES OF USING FOREIGN EXPERIENCE OF MARKETING RESEARCH APPLICATION IN COMMERCIAL BANKS OF OUR COUNTRY.
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Supplementary material 1 from: Ali HE, Bucher SF, Bernhardt-Römermann M, Römermann C (2023) Biochar application can mitigate the negative impacts of drought in invaded experimental grasslands as shown by a functional traits approach. NeoBiota 89: 239-259. https://doi.org/10.3897/neobiota.89.109244
Supplementary information
A systematic mapping study addressing the reliability of mobile applications: The need to move beyond testing reliability (Replication package)
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Figure 3 from: Hasanuddin DNA, Garmana AN, Sasongko L (2024) HPLC method for the determination of nifedipine in rat plasma: development, validation, and application to pharmacokinetic drug-herb interaction study. Pharmacia 71: 1-6. https://doi.org/10.3897/pharmacia.71.e119198
Figure 3 A. Concentration-time (mean ± SD) and B. Natural logarithm-time (mean ± SD) of nifedipine in plasma after a single dose of nifedipine 1 mg/kg (n = 3) and co-administration of nifedipine with Gynura procumbens leaf extract 154 mg/kg (n = 3) in male Wistar rats.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.
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.
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.
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.