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6,782 results for “project”
Stacked Dense Denoise-Segmentation CGLS synthetic reconstruction from 91 projection with ring artefacts
<p>The CGLS recontruction with ring artefacts from the 91 projection of the synthetic dataset used in the Stacked Dense Denoise-Segmentation Network. For the reconstruction the TomoPhantom software was used (<a href="https://doi.org/10.5281/zenodo.2546856">https://doi.org/10.5281/zenodo.2546856</a>). We acknowledge Diamond Light Source for the time on I13-2 under proposal mt9396.</p>
Stacked Dense Denoise-Segmentation FBP synthetic reconstruction from 3601 projection with ring artefacts
<p>The FBP recontruction with ring artefacts from the 3601 projection of the synthetic dataset used in the Stacked Dense Denoise-Segmentation Network. For the reconstruction the TomoPhantom software was used (<a href="https://doi.org/10.5281/zenodo.2546856">https://doi.org/10.5281/zenodo.2546856</a>). We acknowledge Diamond Light Source for the time on I13-2 under proposal mt9396.</p>
Replication package for the paper: "Using Stack Overflow to Assess Technical Debt Identification on Software Projects".
<p>This is the replication package for the paper "Using Stack Overflow to Assess Technical Debt Identification on Software Projects". The paper was published on the Technical Research Track of the Bralizian Symposium on Software Engineering. </p> <p> </p> <p>The replication package is composed of 3 files: 1) data.zip, 2) tables.zip, and 3) clarifications.zip</p> <p> </p> <p>In data.zip, we provide the outputs of our methodological procedure to select the discussions from StackOverflow to include in our empirical analysis. </p> <p>In tables.zip, we provide additional and detailed data regarding all tables included in the paper/</p> <p>In clarifications.zip, we provide additional clarification regarding concepts we did not fully discuss in the manuscript. </p> <p> </p> <p>For future references in this paper, please contact the main author Eliakim Gama, or one of the co-authors.</p>
seb369/hemp_microbiome: First release of hemp microbiome project data
<p>This is the first public release of the hemp microbiome project data for archiving on Zenodo.</p>
AGILE4.0 Project Logo
<p>Project Logo</p>
On the Diversity and Frequency of Code Related to Mathematical Formulas in Real-World Java Projects
<p>Supplementary Material to: On the Diversity and Frequency of Code Related to Mathematical Formulas in Real-World Java Projects. The article available at: https://www.sciencedirect.com/science/article/abs/pii/S0164121220302533</p>
Architecture Information Communication in Two OSS Projects: the Why, Who, When, and What: Complementary Material
<p>The complementary material of this study contains two files:</p> <p>- <strong>Architectural Posts, Architecture Elements, and Coding Results.xlsx </strong></p> <p>We identified the architecture elements ("Architecture Elements Hibernate" and "Architecture Elements ArgoUML") from the developer mailing lists of two OSS projects (Hibernate and ArgoUML) based on our understanding of the ISO 42010:2011 standard. We also provided the coding results ("Coding Results Hibernate" and "Coding Results ArgoUML") based on the identified architecture elements of the two projects. Please note that column "Post ID" and "Thread ID" represent the ID of a post in the developer mailing list and the thread the post belongs to. The text in the column "Content" is excerpted from the architectural posts. The highlighted red text in the content indicates the related words used to identify the architecture element or code the concept from the architectural posts. The architecture elements are shown in the column "Architecture Element", and the coding results of content are shown in the column "Concept".</p> <p>- <strong>Criteria and Terms for Identifying Architecture Elements in Posts.pdf </strong></p> <p>The table shows the inclusion criteria and terms employed for identifying architecture elements in posts of mailing lists based on our understanding of the ISO 42010:2011 standard.</p>
Pah Pum: A project management tool based on TAKT PM
<p>This article presents Pah Pum, a project management tool basedon Takt PM, a hybrid project management methodology. The toolwas developed at SENAI Institute of Innovation for Informationand Communication Technologies to facilitate adherence to TaktPM, offering processes systematization and using best practicessuggested by the methodology. The tool supports (1) project plan-ning using a service package diagram called Handoff Network, (2)project monitoring through Kanban and Kanban Quantum boards,(3) automatic Gantt generation and update, according to the projectHandoff Network and service packages deliveries, (4) monitoringteams through the observation of a unified board that demonstratesthe allocation of the team with the activities that are running orwaiting to be performed, (5) automatic allocation of service pack-ages to the teams considering the limit of in progress activities ofthe team configured to the organization, implementing the pullsystem, (6) status report of service package delivery and projectprogress, in a non-declarative way with evidences, and (7) visu-alization of the project timeline showing the transaction historythat includes the project start, service packages deliveries, and ser-vice packages rejections that were performed during the project.We used an MVC software architecture to implement the solution,composed by front-end in Vue.js, an API following the REST stan-dard in .Net core, and a SQL Server database. Also, the tool wasintegrated with the SENAI Technology Management System (aparticular ERP system). All modules developed were dockerizedand deployed on AWS machines. To access the tool, sign up onhttps://pahpum.isitics.com, and the administrators will approve theaccess. We are currently evaluating the tool through a qualitativestudy to understand the positive and negative impacts through thetool’s adoption during the execution of real projects.</p>
Anticipating Identification of Technical Debt Items in Model-Driven Software Projects
<p>Model-driven development (MDD) and Technical Debt (TD) are software engineering approaches that look for promoting quality on systems under development. MDD uses high-level abstraction models that can be transformed into application code, potentially improving system understanding and maintainability. TD, on the other hand, promotes quality through the use of strategies for detecting, quantifying, monitoring, and correcting software development problems that may hinder its maintenance and evolution. Most research on TD focuses on the application code as primary TD sources. In an MDD project, however, dealing with technical debt only on the source code may not be an adequate strategy because MDD projects should focus their software building efforts on models instead of source code. Besides, in MDD projects, code generation is often done at a later stage than creating models, then dealing with TD only in source code can lead to unnecessary interest payments due to unmanaged debts, such as model and source codes artifacts desynchronization. The use of TD concept in an MDD context is also known as Model-Driven Technical Debt (MDTD). Recent works concluded that MDD project codes are not technical debt free, making it necessary to investigate the possibility and benefits of applying TD identification techniques in earlier stages of the development process, such as in modeling phases. This paper intends to analyze whether it is possible to use source code technical debt detection strategies to identify TD on code-generating models in the context of model-driven development projects. A catalog of nine different model technical debt items for platform-independent code-generating models was specified. Each catalog item provides a detection strategy to automatically find elements suspected to incur the corresponding TD type in the models. An evaluation was performed in order to observe the effectiveness of the proposed catalog compared to existing source code identification techniques found in the literature. Through three different open source software projects, more than 78 thousand lines of code were investigated. Results revealed that, although the catalog items present different precision rates, it is possible to identify and deal with these model-driven technical debts before source code is generated. We hope that sharing this initial version provides future contributions and improvements for this catalog.</p>
Adaptations of Scrum roles in software projects: Survey and Representation Tentative with Feature Models
<p>Vídeo do short paper sobre papéis do Scrum</p>
Madrid Council Citizen Participation Projects
<p>This dataset has been built from Madrid Council citizen participation projects between 2016 and 2019. They are clustered based on description than the owner has been done.</p> <p>It has been built only by bash scripts. </p>
UWIPOM2 project presentation in Spring Horizon 2020
<p><a href="https://www.youtube.com/watch?v=e5z84TcIxdU&feature=youtu.be">LINK TO VIDEO</a></p>
Figure 4 from: Avila-Poveda OH (2020) Large-scale project 'Chiton of the Mexican Tropical Pacific': Chiton articulatus (Mollusca: Polyplacophora). Research Ideas and Outcomes 6: e60446. https://doi.org/10.3897/rio.6.e60446
Figure 4 Image processing and indices of the radula of Chiton articulatus.
Figure 10 from: Avila-Poveda OH (2020) Large-scale project 'Chiton of the Mexican Tropical Pacific': Chiton articulatus (Mollusca: Polyplacophora). Research Ideas and Outcomes 6: e60446. https://doi.org/10.3897/rio.6.e60446
Figure 10 List of collaborators in the project.
Figure 5 from: Avila-Poveda OH (2020) Large-scale project 'Chiton of the Mexican Tropical Pacific': Chiton articulatus (Mollusca: Polyplacophora). Research Ideas and Outcomes 6: e60446. https://doi.org/10.3897/rio.6.e60446
Figure 5 Equipment used to take pictures of each chiton and example of some chitons photographed.
Figure 1 from: Avila-Poveda OH (2020) Large-scale project 'Chiton of the Mexican Tropical Pacific': Chiton articulatus (Mollusca: Polyplacophora). Research Ideas and Outcomes 6: e60446. https://doi.org/10.3897/rio.6.e60446
Figure 1 Specimens of the mollusc Chiton articulatus in its habitat on the intertidal rocky shore.
Raw datasets for publication: The new Mountain Observatory of the Project "Optimizing Cloud Seeding by Advanced Remote Sensing and Land Cover Modification (OCAL)" in the United Arab Emirates: First results on Convection Initiation" - Case studies only (5 and 6 Sept 2018)
<p>Here are zip files containing the raw data sets collected from the Halo Doppler lidar and the Mira Doppler cloud radar from the OCAL Observatory, UAE, on the 5th and 6th September 2018. All RHI and PPI scans at all angles and all time steps from these days are included.</p>
Town of Ennis traffic calming project August - October 2020
<p>The Western Transporation Institute in partnership with the Town of Ennis and the Montana Department of Transportation conducted a temporary traffic calming project on Main Street in Ennis, MT. The project was installed on August 3rd and was removed on October 19th. The traffic calming included the use of curb extensions, road diets, crosswalks, and restriping to simulate a reconstruction project. The goal of the project was to improve safety for pedestrians along and crossing Main St. Pre-installation data collection was conducted between July 24th and July 30th and post-installation data collection was conducted between September 3rd and September 8th. Speed & volume data, pedestrian counts, and driver yielding rates data were all collected before and after the installation of the traffic calming to determine any impact on these indicators. In addition, a community survey was created in partnership with the Town of Ennis to get feedback from community members and visitors about the project, it's perception, and perceived impact. </p>
Dataset for PointTree: Automatic and accurate reconstruction of long-range axonal projections of single-neuron
<p dir="auto">If you find our work useful in your research, please consider citing our paper:</p> <div> <pre><code>Cai Lin, Fan Taiyu, Qu Xuzhong, Zhang Ying, Gou Xianyu, Ding Quanwei, Feng Weihua, Cao Tingting, Lv Xiaohua, Liu Xiuli, Huang Qing, Quan Tingwei, Zeng Shaoqun (2024) PointTree: Automatic and accurate reconstruction of long-range axonal projections of single-neuron eLife 13:RP102840 https://doi.org/10.7554/eLife.102840.2</code></pre> </div>
Projection matrices for numerical examples of "An adaptive model order reduction technique for parameter-dependent modular structures"
<p>This data set contains supplementary data for the paper:<br> 'An adaptive model order reduction technique for parameter-dependent modular structures'</p> <p>The Authors are:<br> Stephan Ritzert (a), Domen Macek (a), Jaan-Willen Simon (b), Stefanie Reese (a)</p> <p>Affiliations:<br> (a) Institute of Applied Mechanics, RWTH Aachen University, Mies-van-der-Rohe-Str. 1, 52074 Aachen, Germany<br> (b) Civil Engineering Mechanics, University of Wuppertal, Pauluskirchstr. 7, 42285 Wuppertal, Germany</p> <p>Contact: stephan.ritzert@ifam.rwth-aachen.de</p> <p>### The Dataset ###</p> <p>The dataset contains all mesh files and all projection matrices used for the numerical examples 2,3, and 4.</p> <p>Example 2: Naming of projections matrices<br> -Square: The projection matrices depend on the parameter alpha: {0,5,10,...,90}<br> The name of the projection matrix is 'PsiTransIso' + alpha + '.txt'</p> <p> -Rectangle: The projection matrices depend on the parameter alpha: {0,5,10,...,180}, and the length lx: {600,700,800,900,1000,1100,1200}<br> The name of the projection matrix is 'PsiTransIso' + alpha + '-' + lx + '.txt'</p> <p>Example 3: Naming of projections matrices<br> -Square: The projection matrices depend on the parameter alpha: {0,5,10,...,90}<br> The name of the projection matrix is 'PsiTransIso' + alpha + '.txt'</p> <p> -Rectangle: The projection matrices depend on the parameter alpha: {0,5,10,...,180}, and the length lx: {600,700,800,900,1000,1100,1200}<br> The name of the projection matrix is 'PsiTransIso' + alpha + '-' + lx + '.txt'</p> <p><br> Example 4: Naming of projections matrices<br> -curved: The projection matrices depend on the parameter phi: {20,30,...,90}<br> The name of the projection matrix is 'PsiIso' + phi + '.txt'</p> <p> -rectangle: The projection matrices depend on the parameter lx: {600,800,1000,1200}<br> The name of the projection matrix is 'PsiIso' + lx + '.txt'</p> <p> </p> <p> </p>
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.