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619 results for “configuration”
Unstructured global to coastal wave modeling for the Energy Exascale Earth System Model - unstructured (2 degree to 1/2 degree) WaveWatchIII configuration files
<p>This dataset contains the mesh and model configuration information for a WaveWatchIII run using a global ustructured grid.</p> <ul> <li>mesh.msh <ul> <li>Unstructured mesh file in gmsh format. The unstructured mesh has 2 degree resolution globally with 1/2 degree resolution around the U.S. coastlines. The transition in resolution occurs at 4000m depth with a 10% resolution grading.</li> </ul> </li> <li>obstructions_local.glo_unst.in <ul> <li>local obstructions file for use with UOST source term switch</li> </ul> </li> <li>obstructions_shadow.glo_unst.in <ul> <li>shadow obstructions file for use with UOST source term switch</li> </ul> </li> <li>ww3_grid.inp <ul> <li>Input file for the ww3_grid pre-processing program. This file specifies many of the model configuration settings.</li> </ul> </li> <li>ww3_shel.inp <ul> <li>Input file for the ww3_shel program.</li> </ul> </li> </ul>
The Life Cycle of Features in Highly-Configurable Software Systems Evolving in Space and Time
<p>Dataset covering the entire development history of four open-source systems from different domains, covering a total of 37500 commits from up to 20 years of development, which can serve as a source of information for new studies on the evolution of systems in space and time.</p>
Optimizing the Geometric Configuration and Manufacturing Process of High Mast Illumination Poles
<p>This work presents the development of a high-fidelity model that accounts for the cumulative effect of welding and hot- dip galvanizing on the determining the resulting residual stresses and deformations induced during the manufacturing process of high mast illumination poles (HMIPs). This model is meant to elucidate the root causes of weld toe cracks in HMIPs. A TxDOT pole-to-base plate connection detail was used as the reference model in the analysis. Welding was modeled using the plug-in Abaqus Welding Interface (AWI), which automatically implements a series of sequential thermal and mechanical analyses. Then, the welding stress results were used as initial input to the galvanizing analysis. The cumulative stress results were compared against simulations that only considered the galvanizing process. A parametric study was then conducted to quantify the variation in the residual stresses and equivalent plastic strain magnitudes induced during the welding and galvanizing of HMIPs due to changes in welding and galvanizing practices. The results revealed that the cumulative effects of the different processes involved in the manufacturing of HMIPs contribute to the formation of galvanizing cracks in HMIPs. Also, increasing the dipping submersion speed during galvanizing and lowering the torch temperature magnitude during welding results in fewer zones prone to cracking. Altering the angle of inclination effect did not have a significant impact on the results. Performing variations in the manufacturing practices used for the fabrication of HMIPs can contribute to reducing the extensive inspection procedures conducted post-galvanizing to identify cracks.</p>
Inputs to an Arctic configuration based on MITgcm and model results
<p>This dataset contains input files for model runs used in Leng et al, JGR, 2020, "Origin and Fate of the Chukchi Slope Current Using a Numerical Model and In-situ Data". The model used in this study is an Arctic configuration based on the Massachusetts Institute of Technology general circulation model (MITgcm). Original source code is the MITgcm_c66m. The simulation covers six years from January 2010 to December 2015. Some representative output is also included.</p> <p>code: contains subroutines modified from the original MITgcm codes to accommodate the Arctic configuration and tracer setup.</p> <p>data: representative data to form the figures in the paper.</p> <p>forcing_2010: surface forcing for 2010 from JRA-55.</p> <p>forcing_2011: surface forcing for 2011 from JRA-55.</p> <p>forcing_2012: surface forcing for 2012 from JRA-55.</p> <p>forcing_2013: surface forcing for 2013 from JRA-55.</p> <p>forcing_2014: surface forcing for 2014 from JRA-55.</p> <p>forcing_2015: surface forcing for 2015 from JRA-55.</p> <p>input: contains input parameters and initial/boundary conditions.</p> <p>script: contains scripts to compile the executable code, need to be modified for local computer libraries, etc.</p>
Remcom Wireless InSite - Warehouse models and simulation configurations
<p>This dataset is provided in scope of the <a href="http://safelog-project.eu/">SafeLog</a> project. It comprises warehouse models and simulation configurations for Remcom Wireless InSite suite used in evaluating UWB signal propagation in warehouse environment.</p>
Full information on the eORCA1 grid (mesh_mask) used in IPSL-CM6A-LR configuration
<p>This file contains all relevant information on the ORCA1 grid. See https://www.nemo-ocean.eu/wp-content/uploads/NEMO_book.pdf for more details on the grid.</p>
The Impact of Tool Configuration Spaces on the Evaluation of Configurable Taint Analysis for Android
<p>The data accompanying our ISSTA'2021 submission, <em>Rethinking Android Taint Analysis Evaluations: A Study of the Impact of Tool Configuration Spaces</em></p> <p> </p> <p>Structure:</p> <p><em>results</em>: contains the raw results output by AQL for the runs on Fossdroid and Google Play. Note that we wrote DroidBench results directly to CSV, so there are no "raw" results for them. Instead, see the summaries package. The collection of APKs for both datasets are also in this package.</p> <p><em>summaries</em>: contains CSV summaries of the three replications of our experiments on all three datasets (including examples of Amandroid's nondetermism on non-default configurations).</p> <p><em>datasets</em>: contains our FossDroid classified results and justifications. Please see the README.md in that package for more information.</p> <p><em>diagrams: </em>contains the graphs detailing the FlowDroid and DroidSafe configuration spaces, including their partial orders and disablement relationships.</p> <p><em>violations</em>: contains the records of violations of our partial orders.</p>
Configurational crop heterogeneity increases within-field plant diversity
<p>1. Increasing landscape heterogeneity by restoring semi-natural elements to reverse farmland biodiversity declines is not always economically feasible or acceptable to farmers due to competition for land. We hypothesized that increasing the heterogeneity of the crop mosaic itself, hereafter referred to as crop heterogeneity, can have beneficial effects on within-field plant diversity.</p> <p>2. Using a unique multi-country dataset from a cross-continent collaborative project covering 1451 agricultural fields within 432 landscapes in Europe and Canada, we assessed the relative effects of compositional and configurational crop heterogeneity on within-field plant diversity components. We also examined how these relationships were modulated by the position within the field.</p> <p>3. We found strong positive effects of configurational crop heterogeneity on within-field plant alpha and gamma diversity in field interiors. These effects were as high as the effect of semi-natural cover. In field borders, effects of crop heterogeneity were limited to alpha diversity. We suggest that a heterogeneous crop mosaic may overcome the high negative impact of management practices on plant diversity in field interiors, whereas in field borders, where plant diversity is already high, landscape effects are more limited.</p> <p>4. <em>Synthesis and applications</em>. Our study shows that increasing configurational crop heterogeneity is beneficial to within-field plant diversity. It opens up a new effective and complementary way to promote farmland biodiversity without taking land out of agricultural production. We therefore recommend adopting manipulation of crop heterogeneity as a specific, effective management option in future policy measures, perhaps adding to agri-environment schemes, to contribute to the conservation of farmland plant diversity.</p>
Data from: Landscape composition, configuration, and trophic interactions shape arthropod communities in rice agroecosystems
<p>1. Increasing landscape heterogeneity of agroecosystems can enhance natural enemy populations and promote biological control. However, little is known about the multi-scale effects of landscape heterogeneity on arthropod communities in rice agroecosystems, especially in combination with trophic interactions. 2. We examined for the first time how landscape heterogeneity, measured by four independent metrics of landscape composition and configuration at three spatial scales, affected species abundance and species richness of rice arthropods within four functional groups and the abundance of the most common species at 28 sites in the Philippines. We additionally examined the influence of trophic interactions among these functional groups. 3. We found that both the compositional and configurational landscape heterogeneity in combination with trophic interactions determine the structure of rice-arthropod communities. Herbivore abundance decreased with increasing landscape diversity. The abundance of parasitoids and species richness of both parasitoids and predators increased with the structural connectivity of rice bunds. Fragmentation of the rice landscape had a clear negative effect on most arthropod groups, with the exception of highly mobile predatory arthropods. Abundance of common predators and detritivore species decreased with increasing complexity in the shape of rice patches. 4. Trophic interactions, measured as the abundance of prey, outweighed the importance of landscape heterogeneity for predators. In contrast, parasitoids responded positively to configurational landscape heterogeneity but were unaffected by prey abundance. 5. Synthesis and applications. Landscape heterogeneity and trophic interactions had different effects on different functional groups. While predator abundance was solely driven by the availability of prey, all other functional groups in the rice-arthropod community were significantly affected by the composition and configuration of surrounding landscape features. Landscape management aiming to improve biodiversity and biological pest control in rice agroecosystems should promote a diversity of land uses and habitat types within 100–300 m radii to reduce the presence of pests. Management practices should also focus on maintaining smaller rice patches and the structural connectivity of rice bunds to enhance populations of the natural enemies of rice pests. Future research should focus on the temporal and spatial manipulation of rice fields to maximize the effects of biological control.</p>
Plant response to habitat amount and configuration in Swedish forests
<p><strong>Aim</strong>: There is an intense debate about whether habitat fragmentation has a negative or positive effect on biodiversity. We examined whether species richness and<br> incidence of forest plants were negatively or positively associated with fragmented forest configuration. We also analysed whether the results support the fragmentation<br> threshold hypothesis with fragmentation effects only in landscapes with small habitat amount.<br> <strong>Location</strong>: Södermanland province, south-eastern Sweden (8,388 km<sup>2</sup>).<br> <strong>Methods</strong>: Data consisted of plant distribution maps and landscape data on forest amount and configuration in 2.5 km × 2.5 km quadrats. We carried out models including<br> forest area together with clumpiness index (CL models) or edge density (ED models) as the measure of habitat configuration. We focused on plant taxa with positive association between incidence and forest area (163 taxa in CL models; 119 taxa in ED models).<br> <strong>Results</strong>: Responses to fragmented configuration were negative more often than by random (33 and 22 taxa in CL and ED models, respectively; includes only models without significant forest area × configuration interaction), whereas positive responses were rare (four taxa in both models). When forest area × configuration interaction was significant, the most common response had a negative effect of fragmented configuration when forest area was low and no effect of configuration when forest<br> area was high, which agrees with the fragmentation threshold hypothesis. Species richness also had this type of response. In another common interactive response, the<br> effect of fragmented configuration was negative at low forest area and positive at high forest area.<br> <strong>Main conclusions</strong>: Responses to fragmented forest configuration, when significant, were usually negative. When responses to fragmented configuration were modulated by forest area, they were negative when forest area was low. The findings of complex interaction between forest area and configuration have implications for selection of appropriate patch sizes in sustainable forest management.</p>
Data from: Planning for climate change through additions to a national protected area network: implications for cost and configuration
<p>Expanding the network of protected areas is a core strategy for conserving biodiversity in the face of climate change. Here we explore the impacts on reserve network cost and configuration associated with planning for climate change in the United States using networks that prioritize areas projected to be climatically suitable for 1,460 species both today and into the future, climatic refugia, and areas likely to facilitate climate-driven species movements. For 14% of the species, networks of sites selected solely to protect areas currently climatically suitable failed to provide climatically suitable habitat in the future. Protecting sites climatically suitable for species today and in the future significantly changed the distribution of priority sites across the U.S.—increasing relative protection in the northeast, northwest, and central U.S. Protecting areas projected to retain their climatic suitability for species cost 59% more than solely protecting currently suitable areas. Including all climatic refugia and 20% of areas that facilitate climate-driven movements increased the cost by another 18%. Our results indicate that protecting some types of climatic refugia may be a relatively inexpensive adaptation strategy. Moreover, although addressing climate change in conservation plans will have significant implications for the configuration of networks, the increased cost of doing so may be relatively modest.</p> <p> </p>
CREAM installation and configuration - EMI trainings at EGI CF12
Installation and configuration of CREAM CE instance, from EMI 2 release
WMS installation and configuration
Installation and configuration of an EMI 1 WMS instance
Model, configuration, data, and analysis scripts for The Evolution of Cooperation by the Hankshaw Effect
<p>Computational model, configuration files, result data, and analysis scripts for The Evolution of Cooperation by the Hankshaw Effect as published in Evolution (doi: 10.1111/evo.12928)</p>
Fingerboard Markers 5f for Guitars that are Configured with All-Fourths Tuning
<p><strong>General Description:</strong></p><p>The files that are included in this archive ("Fingerboard_Markers_5f.zip", DOI: 10.5281/zenodo.10119514) describe a novel system of fingerboard markers that is intended for 6-string guitars that are configured with the following all-fourths tuning system: </p><ul><li>String number 6 is tuned to an open pitch of E2, which has a tuning frequency of 82.407 hertz (cycles per second).</li><li>String number 5 is tuned to an open pitch of A2, which has a tuning frequency of 110.000 hertz (cycles per second).</li><li>String number 4 is tuned to an open pitch of D3, which has a tuning frequency of 146.832 hertz (cycles per second).</li><li>String number 3 is tuned to an open pitch of G3, which has a tuning frequency of 195.998 hertz (cycles per second).</li><li>String number 2 is tuned to an open pitch of C4, which has a tuning frequency of 261.626 hertz (cycles per second).</li><li>String number 1 is tuned to an open pitch of F4, which has a tuning frequency of 349.228 hertz (cycles per second).</li></ul><p> </p><p>Furthermore, the fingerboard markers that are described by the files that are included in this archive ("Fingerboard_Markers_5f.zip", DOI: 10.5281/zenodo.10119514) were designed for guitars that exhibit the following specifications: </p><ul><li>Scale Length: 647.7 mm</li><li>String Spacing at the Nut: 7.04 mm</li><li>String Spacing at the Bridge: 10.5 mm</li><li>Number of frets: 22</li></ul><p> </p><p><strong>Definitions:</strong></p><p>If the fingerboard of a guitar is viewed while the longitudinal axis of the guitar neck is oriented vertically, with the nut at the top and the bridge at the bottom, then it is assumed herein that the strings of the guitar are numbered sequentially from string number 1 to string number 6, wherein string number 1 is positioned nearest to the right edge of the fingerboard and string number 6 is positioned nearest to the left edge of the fingerboard. </p><p>The term "String Spacing" herein denotes the distance between the centroidal axes of any two adjacent strings. </p><p> </p><p><strong>Contents of this Archive:</strong></p><ul><li>"Fingerboard_Markers_5f.DXF": Full-scale drawing of the complete system of fingerboard markers.</li><li>"Fingerboard_Markers_5f.pdf": Full-scale drawing of the complete system of fingerboard markers.</li><li>"Fingerboard_Markers_5f.svg": Full-scale drawing of the complete system of fingerboard markers.</li><li>"Fingerboard_Markers_5f_LICENSE.pdf": The license that applies to the system of fingerboard markers that is described by the contents of this archive ("Fingerboard_Markers_5f.zip", DOI: 10.5281/zenodo.10119514).</li><li>"Fingerboard_Markers_5f_Notes.pdf": Schematic diagram of the notes that surround each fingerboard marker.</li><li>"Fingerboard_Markers_5f_Notes.svg": Schematic diagram of the notes that surround each fingerboard marker.</li><li>"Fingerboard_Markers_5f_ReadMe.pdf": This document.</li></ul><p> </p><p><strong>Copyright and License:</strong></p><p>Copyright © 2023 Hart Honickman</p><p>Copyright in the system of fingerboard markers that is described by the contents of this archive ("Fingerboard_Markers_5f.zip", DOI: 10.5281/zenodo.10119514) is owned by Hart Honickman, and is licensed under Creative Commons Attribution 4.0 International. To view a copy of this license, view "Fingerboard_Markers_5f_LICENSE.pdf" or visit <a href="http://creativecommons.org/licenses/by/4.0/">http://creativecommons.org/licenses/by/4.0/</a>. </p>
Replication Package: Vulnerably (Mis)Configured? Exploring 10 Years of Developers' Q&As on Stack Overflow
<p><strong>Welcome to the public repository for the additional content of the paper "Vulnerably (Mis)Configured? Exploring 10 Years of Developers' Q&As on Stack Overflow", accepted at the International Working Conference on Variability Modelling of Software-Intensive Systems (VAMOS) 2024.</strong></p><p>This repository provides additional information to the conducted exploratory study on configuration-related vulnerabilities, including the following files:</p><ul><li>README.txt</li><li>LICENSE.txt</li><li>DATASET_CONFIG_VULN_SO.csv: sheet containing data of 651 StackOverflow posts, including additional classifications based on manual analyses and automatic topic modeling</li></ul><p><strong>Instructions for using the dataset</strong></p><ol><li>Download and open the dataset (platform-independent CSV file).</li><li>The dataset includes 16 columns (A – P):<br>- Columns A – J: Original data fetched from the BigQuery Stack Overflow dataset (<i>Question_ID, Year_Asked, Question_Title, Question_Body, Question_Tags, View_Count, Question_Rating, Favorite_Count, Status, Answer_Count</i>)<br>- Columns K – N: Manually extracted data from the Stack Overflow posts (<i>System, Configuration Context, Security Context, Topic</i>)<br>- Column O: Data based on the automated topic modeling (<i>Configuration Topic</i>)<br>- Column P: Additional data extracted from the Stack Overflow posts without further classifications (<i>Additional Comments</i>)</li></ol><p><strong>Requirements</strong></p><ul><li>No requirements</li></ul><p><strong>Further information</strong></p><ol><li>The dataset is based on a search string (SQL query; August 1, 2023) applied on the Google BigQuery Stack Overflow dataset:<i> </i><br><i>("secur*") AND ("vulnerabilit*" OR "weakness*" OR "breach*" OR "exposure*" OR "CVE*" OR "CWE*") AND ("config*")</i></li><li>Originally, the dataset included 1,235 post which were limited by the first and second authors to 651 posts (34 deleted posts, 550 posts out of scope) using the following selection criteria: <br>- The post has been created in the last decade (2013-2022).<br>- The post is still available on the Stack Overflow website.<br>- The post is directly connected to a vulnerability-related issue in the context of configuring.</li><li>Topic modeling algorithm used: Latent Dirichlet Allocation (LDA)<br>- Settings: 200 iterations (coherence value = 0.6 for k = 7 to 11), α = k, β = 0.01</li></ol>
Example configurations and test cases for the Python HDF5Translator framework.
<p>This is a set of use examples for the <a href="https://github.com/BAMresearch/HDF5Translator">HDF5Translator framework</a>. This framework lets you translate measurement files into a different (e.g. NeXus-compatible) structure, with some optional checks and conversions on the way. For an in-depth look at what it does<a href="https://lookingatnothing.com/?p=4087">, there is a blog post here. </a></p> <p>The use examples provided herein are each accompanied by the measurement data necessary to test and replicate the conversion. The README.md files in each example show the steps necessary to do the conversion for each. </p> <p>We encourage those who have used or adapted one or more of these exampes to create their own conversion, to get in touch with us so we may add your example to the set. </p>
Model outputs from a NEMO-PISCES configuration of the tropical Atlantic Ocean
<p>Model outputs from a NEMO-PISCES configuration of the tropical Atlantic Ocean (35°S-35°N, 100°W-20°E), from 1998 to 2007. It contains monthly climatologies (10-years averages) of several ocean and biogeochemical variables, as well as monthly Chlorophyll, for 4 sensitivity experiments. These 4 simulations are described and analyzed in the paper: "On the importance of riverine organic matter for the Amazon plume: a modeling study" by Gévaudan et al., under review in JGR: Oceans. A preprint is available here: https://doi.org/10.22541/essoar.172081327.75230541/v2.</p>
Replication Package: Asking Security Practitioners: Did You Find the Vulnerable (Mis)Configuration?
<p><strong>Welcome to the public repository for the additional content of the paper "Asking Security Practitioners: Did You Find the Vulnerable (Mis)Configuration?", accepted at the International Working Conference on Variability Modelling of Software-Intensive Systems (VAMOS) 2025.</strong></p> <p>This repository provides additional information to the conducted survey study on configuration-related vulnerabilities, including the following files:</p> <ul> <li>QUESTIONNAIRE_VAMOS2025.csv: sheet containing all questionnaire data and answer options</li> <li>DATA_VAMOS2025.csv: sheet containing data of the 41 participants, including additional codings of free-text answers</li> <li>README.txt: readMe file</li> </ul> <p><strong>Requirements for using the data<br></strong></p> <ul> <li>No requirements</li> </ul> <p><strong>License for using the data<br></strong></p> <p>Creative Commons Attribution 4.0 International</p> <p>The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited.</p> <p>Further information: https://creativecommons.org/licenses/by/4.0/legalcode</p>
Replication Package for: A Configurable Method for Benchmarking Scalability of Cloud-Native Applications
<p>This repository contains a replication package and experimental results for our study <em>A Configurable Method for Benchmarking Scalability of Cloud-Native Applications</em>.</p> <p>It provides benchmark execution files for repeating our experiments as well as the collected data from our experiments and Jupyter notebooks for reproducing our analysis.</p> <p>Instructions for repeating our experiments and reproducing our analysis can be found in the Readme.md file.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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International Brain Laboratory public data
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OpenNeuro
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