1295 48 7122 2 39585 document 7122 raac-similarity-tool-v1.zip application/zip 3260f7f19879a34f08992421e334593f MD5 20804 2025-05-22 11:16:36 http://edata.bham.ac.uk/1295/1/raac-similarity-tool-v1.zip 1295 1 1 application/zip archive restricted other

raac-similarity-tool-v1.zip

data This software is provided for internal research and development use by Imfuna Ltd and the research team only. Redistribution or commercial use outside these entities is prohibited without written permission. contractual_ip archive 654 disk0/00/00/12/95 2025-05-30 13:40:55 2025-05-30 14:30:25 2025-05-30 13:40:55 data_collection show Liu Lixu l.liu.9@bham.ac.uk; lixu@verdemetrix.com 0009-0008-8011-496X Sponsor Kneppers Jax jax@imfuna.com ProjectLeader Gorse Christopher c.a.gorse@lboro.ac.uk ProjectManager Beierholm Amy a.k.beierholm@bham.ac.uk ProjectManager Rogers Christopher c.d.f.rogers@bham.ac.uk 0000-0002-1693-1999 ProjectMember Palmer Mark mark@imfuna.com ProjectMember Furnea Ionut ionut@imfuna.com ResearchGroup Blay Karen k.b.blay@lboro.ac.uk ResearchGroup Goodier Chris c.i.goodier@lboro.ac.uk School of Architecture, Building and Civil Engineering, Loughborough University Imfuna Ltd 10col_ephy RAAC, panel similarity, web application, data visualization, construction materials, civil engineering, building analysis, interactive tool, Chart.js, password protection, JavaScript, SQL integration, client-side authentication, HTML5, research software The full source code, documentation, and user interface files for the RAAC Similarity Tool v1 are available in the private GitHub repository: https://github.com/lixuliu/raac_similarity_v1.git. An interactive, browser-based version of the application (index.html) is hosted via GitHub Pages at: https://lixuliu.github.io/raac_similarity_v1. Access to this interface is restricted and protected by a password. Please refer to the included README.md file for technical specifications, setup instructions, and usage guidance. This deposit corresponds to version 1.0 of the tool, developed through a C-DICE industrial secondment, with funding and collaboration from Imfuna Ltd. The University of Birmingham acted as the contracting institution, and Loughborough University contributed as an academic partner. The associated GitHub repository, listed under “Related Resources,” may continue to be updated beyond this archived version. Future releases may be distributed under different licensing or access terms as appropriate. This dataset represents version 1.0 of the RAAC Similarity Tool, developed during a C-DICE industrial secondment in collaboration with the University of Birmingham, Imfuna Ltd, and Loughborough University. Funded by C-DICE and Imfuna Ltd, the tool enables browser-based analysis of RAAC panel similarities using interactive charts and local data processing. Designed for internal research and limited commercial use, it features a responsive interface, real-time analysis, and password-protected access. This version reflects the private GitHub repository at the time of deposit and serves as the official reference for reproducibility. Future updates may continue on GitHub under the project lead’s management. 2025-05-30 published University of Birmingham https://doi.org/10.25500/edata.bham.00001295 Software research-data@contacts.bham.ac.uk School of Engineering, Department of Civil Engineering other Research England Imfuna Ltd C-DICE Industrial Secondment en yes yes yes TRUE Stored in the uploaded archive and also hosted in a private GitHub repository, accessible only to authorized collaborators. https://github.com/lixuliu/raac_similarity_v1.git Producer Liu Lixu lixu@verdemetrix.com; lixu@imfuna.com web https://github.com/lixuliu/raac_similarity_v1.git IsIdenticalTo web https://lixuliu.github.io/raac_similarity_v1/ IsDerivedFrom This software was developed during a C-DICE industrial secondment involving the University of Birmingham (contract issuer), Imfuna Ltd (industry host), and Loughborough University (collaborating institution). The panel data used for analysis was extracted from a structured SQL database and prepared for visualization through client-side JavaScript logic. Data preprocessing included building-specific filtering, validation, and formatting to ensure compatibility with the web-based visualization modules. All data processing occurs locally within the browser to maintain data privacy. Access is restricted via a password-based client-side authentication system using local storage. en