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73 results for “performance results”
Results of quantitative genetic sensitivity analysis performed on reconstructed pedigrees based on large-scale genealogies
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Performance Results of a Containerized MongoDB DBMS
<p>These data sets contain the performance measurements of different containerized MongoDB deployments. They are supplemental to the research paper <a href="https://link.springer.com/chapter/10.1007/978-3-030-10549-5_8">The Impact of the Storage Tier: A Baseline Performance Analysis of Containerized DBMS</a> that has been presented at the Euro-Par Workshops 2018. </p> <p>The attached readme further describes the data set structure.</p>
Results of high-performance computing parameter sweeps associated with the Zimbabwe agro-pastoral management model
<p>This dataset includes all the results of the model runs used to explore the parameters in the Zimbabwe Agro-Pastoral Management Model, archived at ComSES.net (<a href="https://doi.org/10.25937/ta23-sn46">https://doi.org/10.25937/ta23-sn46</a>). This model has been created with and for the researcher-farmers of the Muonde Trust (<a href="http://www.muonde.org/">http://www.muonde.org/</a>), a registered Zimbabwean non-governmental organization dedicated to fostering Indigenous innovation. The results in this dataset were generated using the BehaviorSpace functionality in NetLogo, running headless on a high-performance computing cluster (499,200 runs). The dataset includes model output variables summarized for each model run as well as input values for management variables, underlying parameters, and rainfall models for those runs. A detailed description of the model and its variables (including units of measurement where applicable) is available in Eitzel et al. (2020) at DOI: 10.1371/journal.pone.0237638 and in the Overview, Design, and Details documentation on CoMSES.net.</p>
Raw results of the simulation experiments performed to evaluate different Aloha-based schemes for LoRa-based DtS uplink transmissions
<p>This zip file contains the gnuplot and data files needed to generate the figures showing the experimental results presented in [1].</p> <p>[1] S. Herrería-Alonso, M. Rodríguez-Pérez, R. F. Rodríguez-Rubio and F. Pérez-Fontán, "Improving Uplink Scalability of LoRa-Based Direct-to-Satellite IoT Networks," in <em>IEEE Internet of Things Journal</em>, vol. 11, no. 7, pp. 12526-12535, April 2024, doi: 10.1109/JIOT.2023.3333934.</p>
Raw results of the numerical experiments performed to evaluate different MAC schemes for LoRaWAN networks
<p>This zip file contains the scripts, gnuplot and data files needed to generate the figures showing the numerical results presented in [1].</p> <p>[1] S. Herrería-Alonso, A. Suárez-González, M. Rodríguez-Pérez and C. López-García, "Enhancing LoRaWAN scalability with Longest First Slotted CSMA," in <em>Computer Networks</em>, vol. 216, article number 109252, Oct. 2022, doi: 10.1016/j.comnet.2022.109252.</p>
Raw results of the experiments performed to evaluate irregular repetition slotted ALOHA with multiuser detection
<p>This zip file contains the data files needed to generate the figures of the numerical results presented in [1].</p> <p> </p> <p>[1] M. Fernández-Veiga, M.E. Sousa-Vieira, A. Fernández-Vilas, R.P. Díaz-Redondo. "Irregular repetition slotted ALOHA with multiuser detection: A density evolution analysis". Computer Networks, 234, 109921, 2023.</p>
Framework and results of "Performance evaluation in the Inter-institutional collaboration context of hybrid smart cities"
<pre>Comparative study of the Lugano and Turin framework and policy and agenda elements.</pre>
Results from "The Effects of Nonlinear Signal on Expression-Based Prediction Performance"
<p>This zipped archive contains the result files from running the pipeline described in the manuscript "The Effects of Nonlinear Signal on Expression-Based Prediction Performance".</p>
Instances and results of the paper "Local Optima Networks, Landscape Autocorrelation and Heuristic Search Performance"
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Deliverable 1.1.1.1 BEL-Float project | Dataset containing the results of numerical simulations (motions, forces) of the operational performance analysis - Part 9: Operational and damaged scenarios in regular waves
<p>This dataset contains the results of OpenFAST simulations performed on the DeepCwind OC4 semi-submersible combined with the 5MW NREL turbine for various wind and wave conditions. The basis of the OpenFAST input files are taken from <a href="https://github.com/OpenFAST/r-test/tree/main/glue-codes/openfast/5MW_OC4Semi_WSt_WavesWN">OpenFAST r-test GitHub repository (5MW_OC4Semi_WSt_WavesWN)</a> and adapted to simulate various wind and wave conditions. The turbulent wind field as the input to the InflowWind module is generated using <a href="https://www.nrel.gov/wind/nwtc/turbsim.html">TurbSim</a>. The simulations are performed on a modified version of OpenFAST v3.5.3 to which adaptation to the code is made to extract additional Morison drag output up to 16 cylindrical members. This adapted code is <a href="https://github.com/abkpribadi/openfast/tree/Morison_additional_output">uploaded on GitHub as a branch from a forked OpenFAST repository</a>. In total there are 1152 simulation results consists of 768 irregular waves and 384 regular waves cases. The complete dataset is divided into 9 sub-datasets to which this is part number 9. A report describing this dataset is available on the BEL-Float project website: https://www.owi-lab.be/bel-float.</p>
SLR result_HCI elements_CDSS performance_Updated version 2025
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HeatResilientCity II - work package 2.3: Interactions between buildings and open space adaptation measures – Results of building performance simulations
<p>This repository contains the <strong>results of the building performance simulations</strong> carried out in the working package 2.3: Interactions between buildings and open space adaptation measures of the project <a href="http://heatresilientcity.de/">HeatResilientCity II</a>. The buildings under consideration are a multi-residential so-called „Gründerzeithaus“ (GZH) and a large-panel construction (LPC) building. The results were extracted for two rooms of each building on the top floor/attic and follow a consistent name convention. Each file contains hourly resolved values for the outdoor air temperature, the indoor air temperature, the indoor operative temperature and the relative humidity indoor and outdoor. Further information can be found in the README of this repository.</p> <p>In addition to the “plain” simulation results, some <strong>heat-indicator variables</strong> were calculated and listed in <em>Calculate_Indicators_Dresden.txt </em>and<em> Calculate_Indicators_Erfurt.txt</em>. The calculated quantities include temperature weighted exceedance hours for the limits of 25, 26 and 27 °C, the maximum operative temperature occurring during the simulation and the operative indoor temperature and outdoor air temperatures at 4 am and 6 pm on the last day of the heat period/simulation.</p> <p>The used <strong>input data</strong> and <strong>building models</strong> can be found in the related identifiers.</p>
Comparison of Neuromuscular Exercises and Dance Therapy on Physical Performance and Kinesiophobia Results in Geriatrics
ClinicalTrials.gov study NCT06395779. IPD Sharing: NO. Countries: 1. Publications: 6.
Performance Evaluation of the ex Utero Cord Blood Collection Technique: Procedure, Quality and Results
ClinicalTrials.gov study NCT05836974. IPD Sharing: NO. Countries: 1. Publications: 12.
Results of high-performance computing parameter sweeps associated with the Zimbabwe agro-pastoral management model
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Data from: Selection on learning performance results in the correlated evolution of sexual dimorphism in life history
The evolution of learning can be constrained by trade-offs. As male and female life-histories often diverge, the relationship between learning and fitness may differ between the sexes. However, because sexes share much of their genome, intersexual genetic correlations can prevent males and females from reaching their sex-specific optima resulting in intralocus sexual conflict (IaSC). To investigate if IaSC constraints sex-specific evolution of learning we selected Caenorhabditis remanei nematode females for increased or decreased olfactory learning performance and measured learning, lifespan (in mated and virgin worms), reproduction and locomotory activity in both sexes. Males from downward-selected female lines had higher locomotory activity and longer virgin lifespan but sired fewer progeny than males from upward-selected female lines. In contrast, we found no effect of selection on female reproduction and downward-selected females showed higher locomotory activity but lived shorter as virgins than upward-selected females. Strikingly, selection on learning performance led to the reversal of sexual dimorphism in virgin lifespan. We thus show sex-specific trade-offs between learning, reproduction and lifespan. Our results support the hypothesis that selection on learning performance can shape the evolution of sexually dimorphic life-histories via sex-specific genetic correlations.
Performance results from species distribution models considering historical occurrences and variables of varying persistency
<p>Occurrence data used to build species distribution models often include historical records from locations in which the species no longer exists. When these records are paired with contemporary environmental values that no longer represent the conditions the species experienced, the model creates false associations that hurt predictive performance. The extent of mismatching increases with the number of historical occurrences and with inclusion of environmental variables that are prone to change over time. Indeed, the mismatch between occurrence data and contemporaneous environmental variables is a common dilemma when modeling rare or cryptic species, especially those of conservation concern that were once more abundant. Herein, we assess (1) the impact of historical occurrences on model performance across three sets of environmental variables of increasing persistency, and (2) the performance of models built using selected-historical occurrences from locations that showed evidence of limited environmental change over time. Concepts are tested on federally listed flatwoods salamanders, reflecting real-world conservation management efforts. We predicted that, compared to other occurrence sets, (1) historical occurrences would perform best with environmental variables that were more persistent, (2) recent occurrences would perform best when the environmental variables were more impersistent, and that (3) our selected-historical occurrences would perform best with a combination of persistent and impersistent variables. Our results showed the expected inversion of model performance of recent and historical occurrences across environmental variables of increasing persistency when evaluated by correct predictions. However, the inversion was not seen in AUC performance, in which historical occurrences outperformed recent occurrence models across all variable sets. Selected-historical occurrences did not notably improve performance over all-historical occurrences in any metric or variable set. To maximize utility and performance, modelers could acknowledge potential tradeoffs from inclusion of historical occurrences and consider number and age of recent and historical occurrences available, the persistency of environmental variables considered, and how their conservation goals are reflected in model design and evaluation, particularly with respect to sensitivity vs. specificity. Our study lends support for inclusion of historical occurrences, with the potential exception of mostly impersistent variables when sensitivity is the highest priority.</p>
Accompanying VTune results for "An Analysis of Performance Bottlenecks in MRI Pre-Processing"
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Data from: Validation of the GARD™skin assay for assessment of chemical skin sensitizers – ring trial results of predictive performance and reproducibility
Proactive identification of chemicals with skin sensitizing properties is a key toxicological endpoint within chemical safety assessment. In order to meet recent legislations and increase animal welfare, considerable efforts have been made to develop non-animal approaches to replace current animal testing. Genomic Allergen Rapid Detection (GARD™) is a state-of-the-art technology platform, the most advanced application of which is the assay for assessment of skin sensitizing chemicals, GARD™skin. The methodology is based on a dendritic cell (DC)-like cell line, thus mimicking the mechanistic events leading to initiation and modulation of downstream immunological responses. Induced transcriptional changes are measured following exposure to test chemicals, providing a detailed evaluation of cell activation. These changes are associated with the immunological decision-making role of DCs in vivo and include among other phenotypic modifications, up-regulation of co-stimulatory molecules, induction of cellular and oxidative stress pathways and xenobiotic responses. Here, results from an inter-laboratory ring trial of GARD™skin, conducted in compliance with OECD guidance documents and comprising a blinded chemical test set of 28 chemicals, are summarized. The assay was found to be transferable to naïve laboratories, with an inter-laboratory reproducibility of 92.0%. The within-laboratory reproducibility ranged between 82.1-88.9%, while the cumulated predictive accuracy across the three laboratories was 93.8%. Based on these and previously published data, it is concluded that GARD™skin is a robust and reliable method for the identification of skin sensitizing chemicals and suitable for use as a stand-alone assay. These data form the basis for the regulatory validation of GARD™skin.
Performance results from species distribution models considering historical occurrences and variables of varying persistency
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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.