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2,235 results for “engineering”
Engineering Fano-resonant hybrid metastructures with ultra-high sensing performances
<p>Here the data related to our recent work that uses metasurfaces designed on metamaterials to excite Fano resonances and Rabi Split analogue modes for sensing.</p> <p> </p> <p>In this repository the following data are available:</p> <ul> <li>The Reflectance, Transmittance and Absorbance (1-T-R) evaluated over all the diffraction angles (from 0° to 89°) for the proposed structure (ring + cross) and the other tested structures, available in the .mat file.</li> <li>The .m file to repeat all the simulations are available in main folder. The available Matlab codes allow reproducing numerical simulations using Reticolo (RCWA) as the main framework to do the computation.</li> <li>Use "getrefractiveindex.m" to interpolate refractive index on finest wavelength range. Please, note that according to the uploaded codes this function have to be in the same folder of the loaded refractive indices. </li> <li>You can use the function "textprogressbar.m" to get a progress bar in real time to know the status of the current simulation. Please, note that this function have to stay in the "/RETICOLO V8/reticolo_allege" folder. </li> <li>One of the available Matlab code allows displaying the electric and magnetic field evaluated in the structure section or on the top view. </li> <li>The sensing test performed for the reported structures using different surrounding medium, for this purpose it is possible to use the codes that allow studying the parameters variation, the incident angle variation or just a single run changing the refractive index of the surrounding medium. </li> </ul> <p>The proposed code works using the Reticolo main code. To download it please visit the following link <a href="https://www.lp2n.institutoptique.fr/light-complex-nanostructures">https://www.lp2n.institutoptique.fr/light-complex-nanostructures</a> or using Zenodo <a href="https://zenodo.org/record/5905381#.Y8rvbC9abpA">https://zenodo.org/record/5905381#.Y8rvbC9abpA</a></p> <p>Once Reticolo has been downloaded copy and paste its path in the proposed Matlab code for Fano resonances on ENZ cavities as reported in the example codes.</p> <p>In this repository you will find the refractive indices that have been used.</p>
Genome report: Genome sequence of 1S1, a transformable and highly regenerable diploid potato for use as a model for gene editing and genetic engineering
<p>Generation of a genomic resource for a readily transformable diploid potato would provide a resource for high throughput functional analysis in potato. The heterozygous <em>Solanum tuberosum</em> Group Phureja clone 1S1 has a high regeneration rate, self-fertility, desirable tuber traits and is amenable to <em>Agrobacterium</em>-mediated transformation. To create a contiguous genome assembly, a homozygous doubled monoploid of 1S1 (DM1S1) was sequenced using 44 Gbp of long reads generated from Oxford Nanopore Technologies (ONT), yielding a 736 Mb assembly that encoded 31,145 protein-coding genes. The final assembly for DM1S1 represents a nearly complete genic space, shown by the presence of 99.6% (C:99.5%[S:97.8%, D:1.7%],F:0.1%,M:0.4%,n:1614) of the Benchmarking Universal Single Copy Orthologs. Variant analysis with Illumina reads from 1S1 was used to deduce its alternate haplotype using the variant calling tools Strelka2 (v2.9.10), GATK's Haplotypecaller (v4.1.4.1), and Freebayes (v1.3.2). These variants were used to create consensus fasta sequences with the DM1S1 assembly using bcftools (v1.9.64).</p>
Anomaly Engine Development and Testing Datasets
<p>The following datasets have been used for development an testing of Anomaly Engine Webapp. They includes data samples for all the 4 scenarios:<br> 1 - Simple Self Financing<br> 2 - Self Financing by bank account<br> 3 - Indirect SF (by recharge)<br> 4 - Indirect Account Self Financing</p> <p>Each file row represents a graph relationship between a source node (<code>source</code>) and a destination node (<code>target</code>).</p> <p>Files must have the following schema:</p> <ul> <li><code>source_type</code>: Source node label;</li> <li><code>source_attributes</code>: Source node attributes. Can be null;</li> <li><code>target_type</code>: Destination node label;</li> <li><code>target_attributes</code>: Destination node attributes. Can be null;</li> <li><code>relation_type</code>: Relationship label;</li> <li><code>relation_attributes</code>: Relationship attributes. Can be null.</li> </ul> <p>Attributes must be expressed as key-value pairs separated by a semicolon <code>;</code>. For example</p> <pre><code>key1=value1;key2=value2</code></pre> <p> </p> <p>The datasets are also available in <a href="https://gitlab.infinitech-h2020.eu/pilot16/aml-graph-payments-anomaly-detection/-/tree/master/docker/docker_resources/docker_webapp/src/webapp_dash/assets">Infinitech Marketplace</a> </p>
Modelling Guidance in Software Engineering: A Systematic Literature Review
<p>The dataset contains three supporting documents covering the paper selection details (including selection criteria and extracted papers after each round) from three rounds of selection for the literature review titled- Modelling Guidance in Software Engineering: A Systematic Literature Review. There are three excel sheets named: <strong>search_s1</strong>,<strong> search_s2</strong> and <strong>snowballing_bpm</strong>. The file "<strong>search_s1</strong>" contains details of the search with the search string: {("modeling" OR "modelling" OR "model-driven" OR "model-based") AND ("guidelines" OR "training" OR "styles" OR "creation") AND ("software engineering")}. The second file, "<strong>search_s2</strong>", contains details of the search with the string: {("modeling" OR "modelling" OR "model-driven" OR "model-based") AND ("approach" OR "process" OR "method" OR "template") AND ("software engineering")}. The third file, "<strong>snowballing_bpm</strong>", contains the backward and forwards snowballing search results. </p>
Comparison Auralization vs. Measurements of V2500 engine flyover at take-off conditions
<p>Illustration of engine noise auralization by DLR Institute of Propulsion Technology obtained with the framework PropNoise, VIOLIN, CORAL. Data associated with publication: “A framework to simulate and to auralize the sound emitted by aircraft engines.” paper Nr. C001073, InterNoise Conference, Chiba, 2023 by A. Moreau, A. Prescher, S. Schade, M. Dang, R. Jaron, S. Guérin.</p> <p>Examples of audio files for the simulation and auralization of two engine flyover experiments at take-off conditions (V2527 engine powering A320 civil aircraft):</p> <ul> <li>Flyover A – experiment on DLR LNATRA research aircraft, measurements are monaural and taken with a microphone placed wall flush with the ground (no ground reflections)</li> <li>Flyover B – experiment at Berlin Airport, measurements are taken at 1.2m above ground with an artificial head equipped with two microphones, binaural recording and ground reflection.</li> </ul> <p>Sound amplitude levels have been normalized.</p>
Proactive Conflict Detection for Collaborative Model-driven Software Engineering (Evaluation Data)
<p>Results of the evaluation for the paper "Proactive Conflict Detection for Collaborative Model-driven Software Engineering"</p>
Illustrations from the Research Engineering Group: Shared under CC-BY 4.0 for reuse
<p>Illustrations created by <a href="http://www.scriberia.co.uk/">Scriberia</a> as part of the Research Engineering Group (REG) illustration sprints in 2022. They depict a variety of content to describe how REG work and the team’s makeup. More information about the team can be found at <a href="https://www.turing.ac.uk/research/research-engineering">https://www.turing.ac.uk/research/research-engineering</a>.</p> <p>When using any of the images, please include the following attribution with the specific DOI:</p> <blockquote> <p><em>This illustration is created by Scriberia with the Research Engineering Group. Used under a CC-BY 4.0 licence. DOI: </em><a href="https://doi.org/10.5281/zenodo.7785796">10.5281/zenodo.7785796</a></p> </blockquote> <p>Please note that these images are shared here in the original format and size. Individual illustrations are provided as <strong>.jpg</strong> and <strong>.tif</strong> files.</p> <p>We encourage the use and re-use of these images as much as possible. This includes remixing the images, for example changing the colours, translating text, or merging them together with additional (openly licensed) images. If you'd like to change the colours of the image, for example to align with other elements of your presentation, Alex Chan has written a <a href="https://alexwlchan.net/2020/02/adjusting-the-dominant-colour-of-an-image/">guide for changing the dominant colour in an image</a> which we hope is helpful.</p> <p>If you create something that others may benefit from, we encourage you to contribute your image back to REG.</p>
Design of Blockchain-based Applications using Model-Driven Engineering and Low-Code / No-Code Platforms - SLR Dataset
<p>Dataset of the publications collected at various stages of the Structured Literature Review titled "<a href="https://link.springer.com/article/10.1007/s10270-023-01109-1">Design of Blockchain-based Applications using Model-Driven Engineering and Low-Code / No-Code Platforms</a>" published in Software and Systems Modeling:</p> <p>The creation of blockchain-based software applications requires today considerable technical knowledge, particularly in software design and programming. This is regarded as a major barrier in adopting this technology in business and making it accessible to a wider audience. As a solution, low-code and no-code approaches have been proposed that require only little or no programming knowledge for creating full-fledged software applications. In this paper we extend a review of academic approaches from the discipline of model-driven engineering as well as industrial low-code and no-code development platforms for blockchains. This includes a content-based, computational analysis of relevant academic papers and the derivation of major topics. In addition, the topics were manually evaluated and refined. Based on these analyses we discuss the spectrum of approaches in this field and derive opportunities for further research.</p>
A quantum engine in the BEC-BCS crossover
<p>This data set contains all values plotted in the publication "A quantum engine in the BEC-BCS crossover". The chart represents the experimental values and the theoretical calculations.<br> All values are summarized in one file. Within the file, the values are sorted by figures.</p> <p> </p>
Value-based Software Engineering: A Systematic Mapping Study
<p><strong>Abstract</strong><br> <strong>Background: </strong>Integrating value-oriented perspectives into the principles and practices of software engineering is fundamental to ensure that software development activities address key stakeholders’ views and also balance short-and long-term goals. This is put forward in the discipline of value-based software engineering (VBSE)<br> <strong>Aim:</strong> This study aims to provide an overview of VBSE with respect to the research efforts that have been put into VBSE.<br> <strong>Method:</strong> We conducted a systematic mapping study to classify evidence on value definitions, studies’ quality, VBSE principles and practices, research topics, methods, types, contribution facets, and publication venues.<br> <strong>Results:</strong> From 143 studies we found that the term “value” has not been clearly defined in many studies. VB Requirements Engineering and VB Planning and Control were the two principles mostly investigated, whereas VB Risk Management and VB People Management were the least researched. Most studies showed very good reporting and relevance quality, acceptable credibility, but poor in rigor. The main research topic was Software Requirements and case study research was the method used the most. The majority of studies contribute toward methods and processes, while very few studies have proposed metrics and tools.<br> <strong>Conclusion:</strong> We highlighted the research gaps and implications for research and practice to support VBSE.</p>
Using Open Citation Databases for Snowballing in Software Engineering Research
<p>Dataset for our study on the coverage of software engineering articles in open citation databases:</p> <ul> <li>a list of the 23 sampled venues with their respective CORE ranks and publishers, <ul> <li>01-venues.csv,</li> </ul> </li> <li>a list of the 204 sampled articles with their respective number of references/citations per citation database, <ul> <li>02-articles.csv (articles with publication information),</li> <li>03-references-absolute.csv (number of references in published PDF & absolute numbers for reference coverage in databases),</li> <li>04-references-relative.csv (relative numbers for reference coverage in databases),</li> <li>05-citations-absolute.csv (absolute numbers for citation coverage in databases),</li> <li>06-citations relative.csv (relative numbers for citation coverage in databases),</li> </ul> </li> <li>a list of the 8 articles analyzed in more detail with complete references data from the citation databases, <ul> <li>07-selected-articles.csv (articles with publication information),</li> <li>08A–08H (comparison of references found in databases for each article),</li> </ul> </li> <li>and additional statistical measures and plots <ul> <li>09-Statistics.{pdf,xlsx} (statistical measures – i.e., minimum, maximum, median, average, variance – for the whole dataset and for subsets by publisher, CORE rank, or year of publication),</li> <li>10-Figures.zip (figures for references as shown in the study and additional figures for citations – each in EPS and PNG format).</li> </ul> </li> </ul>
A Conceptual Model to Support Teaching of Software Engineering Controlled (Quasi-)Experiments - Evaluation of the Concept Model
<p>A Conceptual Model to Support Teaching of Software Engineering Controlled (Quasi-)Experiments - Evaluation of the Concept Model</p>
Eurasian beaver – A semi-aquatic ecosystem engineer rearranges the assemblage of terrestrial mammals in winter - dataset
<p>Dataset to paper of Fedyń, I., Przepióra, F., Sobociński, W., Wyka, J., & Ciach, M. (2022). Eurasian beaver–A semi-aquatic ecosystem engineer rearranges the assemblage of terrestrial mammals in winter. <em>Science of The Total Environment</em>, <em>831</em>, 154919 (<a href="https://doi.org/10.1016/j.scitotenv.2022.154919">https://doi.org/10.1016/j.scitotenv.2022.154919</a>).</p>
Exploring Psychological Safety in Software Engineering
<p>The database used in the article entitled "Exploring Psychological Safety in Software Engineering: Insights from Stack Exchange" consists of two files: "All Results" and "Database Sbes." The "All Results" file includes all search results, while the "Database Sbes" file contains the categorization of selected data.</p>
NCCD-PF - A pre-failure narrow concrete cracks dataset for engineering structures damage classification and semantic segmentation
<p>The NCCD-PF dataset was developed for the classification and semantic segmentation of narrow concrete cracks in engineering structures elements at the pre-failure state. It only includes cracks whose width is narrower than 0.3 mm, i.e. the limit value specified in EC 1992-1-1 for typical elements of engineering structures and environmental conditions.</p> <p>This dataset is dedicated to the early crack detection at a stage when the serviceability limit state has not yet been exceeded and the failure of a structural element has not occurred. By implementing the early crack detection approach, it is possible to protect cracks in order to stop or slow down their propagation and thus to extend the structure's lifespan.</p> <p>This dataset contains images of cracks appearing on various elements of engineering structures (bridges, viaducts, tunnels) made of reinforced concrete (including abutments, tunnel walls, concrete barriers, pillars). The images were captured on construction sites and during inspections of engineering structures, at different stages of the reinforced concrete structure's working conditions - from the construction stage (when the elements are loaded only by their own weight) to the structure's use stage (when the elements are loaded by most of the design loads). The images are also differentiated by the cause of the cracking (ex., thermal and shrinkage stresses in young concrete, excessive stresses). The images were acquired using fixed-focus cameras without prior conditioning in order to represent the real working conditions of a bridge engineer during structural inspections. The images are characterised by a high degree of complexity due to the quality of the concrete surface finish (e.g. presence of formwork marks, concrete trowel marks), which could potentially be recognised as cracks.</p> <p>This dataset is dedicated to researchers working in the fields of computer vision, machine learning and deep learning. In particular, it contains domain knowledge in structural health monitoring, so that it can support the work of engineers in detecting cracks of concrete elements in a pre-failure state.</p> <p>A detailed description of the dataset is presented in <a href="https://www.nature.com/articles/s41597-023-02839-z" target="_blank" rel="noopener">A pre-failure narrow concrete cracks dataset for engineering structures damage classification and segmentation</a> (DOI: 10.1038/s41597-023-02839-z).</p>
Engineered cardiac microbundle time-lapse microscopy image dataset
<p>The "Microbundle Time-lapse Dataset" contains 24 experimental time-lapse images of cardiac microbundles using three distinct types of experimental testbed of beating lab grown hiPSC-based cardiac microbundles. Of the 24 experimental time-lapse images, 23 examples are brightfield videos, and a single example is a phase contrast video. We categorize the different experimental testbeds into 3 types, where "Type 1" includes movies obtained from standard experimental microbundle platforms termed microbundle strain gauges [1,2,3]. We refer to data collected from non-standard platforms termed FibroTUGs [4] as "Type 2" data, and "Type 3" data represents a highly versatile and diverse nanofabricated experimental platform [5,6].</p> <p><strong>References:</strong></p> <p>[1] Boudou T, Legant WR, Mu A, Borochin MA, Thavandiran N, Radisic M, Zandstra PW, Epstein JA, Margulies KB, Chen CS. A microfabricated platform to measure and manipulate the mechanics of engineered cardiac microtissues. Tissue Engineering Part A. 2012 May 1;18(9-10):910-9.</p> <p>[2] Xu F, Zhao R, Liu AS, Metz T, Shi Y, Bose P, Reich DH. A microfabricated magnetic actuation device for mechanical conditioning of arrays of 3D microtissues. Lab on a Chip. 2015;15(11):2496-503.</p> <p>[3] Bielawski KS, Leonard A, Bhandari S, Murry CE, Sniadecki NJ. Real-time force and frequency analysis of engineered human heart tissue derived from induced pluripotent stem cells using magnetic sensing. Tissue Engineering Part C: Methods. 2016 Oct 1;22(10):932-40.</p> <p>[4] DePalma SJ, Davidson CD, Stis AE, Helms AS, Baker BM. Microenvironmental determinants of organized iPSC-cardiomyocyte tissues on synthetic fibrous matrices. Biomaterials science. 2021;9(1):93-107.</p> <p>[5] Jayne RK, Karakan MÇ, Zhang K, Pierce N, Michas C, Bishop DJ, Chen CS, Ekinci KL, White AE. Direct laser writing for cardiac tissue engineering: a microfluidic heart on a chip with integrated transducers. Lab on a Chip. 2021;21(9):1724-37.</p> <p>[6] Karakan MÇ. A Direct-Laser-Written Heart-on-a-Chip Platform for Generation and Stimulation of Engineered Heart Tissues (Doctoral dissertation, Boston University, 2023).</p>
Targeting AAV vectors to the CNS via de novo engineered capsid-receptor interactions
<p>Dataset for "Targeting AAV vectors to the CNS via <em>de novo</em> engineered capsid-receptor interactions."</p>
Results and log of LLM-KG-Bench runs described in article "Developing a Scalable Benchmark for Assessing Large Language Models in Knowledge Graph Engineering", Meyer et al. 2023
<p>Results and logs of <a href="https://github.com/AKSW/LLM-KG-Bench">LLM-KG-Bench</a> runs described in article "Developing a Scalable Benchmark for Assessing Large Language Models in Knowledge Graph Engineering", Meyer et al., to appear in <a href="https://2023-eu.semantics.cc/page/accepted_posters">SEMANTICS 2023 poster track</a> proceedings.</p>
Cell-free synthesis of infective phages from in vitro assembled phage genomes for efficient phage engineering and production of large phage libraries
<p>Upload of relevant sequencing data for the paper "<strong>Cell-free synthesis of infective phages from <em>in vitro</em> assembled phage genomes for efficient phage engineering and production of large phage libraries"</strong></p>
Dataset: Challenges, Strengths, and Strategies of People with ADHD in Software Engineering: A Case Study
<p>This dataset accompanies the paper "Challenges, Strengths, and Strategies of People with ADHD in Software Engineering: A Case Study". It contains interview guides as well as anonymous interview transcripts for six interviewees who explicitly consented to the publication.</p> <p>Specifically:</p> <ul> <li>Interview transcripts are Excel files starting with "<strong>interview</strong>".</li> <li>The interview instruments used for the 19 interviews are named "<strong>interview_guide_professionals</strong>" followed by a version number. V1 was used for the first 3 interviews, V2 for the 9 following interviews, and V3 for the remaining 7.</li> <li><strong>manager_feedback_guide.pdf</strong> is the interview guide used for discussions with the 4 managers. The preliminary results we showed them are depicted in <strong>01_challenges_themes_relations_noStrat_v2</strong>, <strong>02_strengths_themes_relations_v1</strong> and <strong>02_strengths_themes_relations_v2</strong></li> <li><strong>consent_form.pdf</strong> is a PDF version of the online form used to handle consent and intake of interviewees.</li> </ul>
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
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.