Balinese traditional building architecture dataset

IF 1 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief Pub Date : 2025-03-14 DOI:10.1016/j.dib.2025.111465

I Gusti Agung Gede Arya Kadyanan, Ngurah Agus Sanjaya ER, Ida Bagus Gede Dwidasmara, I Kadek Dwi Adnyana, I Komang Widia Pratama, Ngakan Made Alit Wiradhanta, I Agung Gede Ary Mahayasa

引用次数: 0

Abstract

This study introduces a dataset focused on Balinese traditional architecture, comprising two main categories, residential and sacred buildings. The dataset includes 14 types of residential buildings with 68 images and 29 types of sacred buildings with 76 images. Each design is represented through 2D drawings, such as front, side, section views, and floor plans, created using AutoCAD software. These drawings are meticulously derived from traditional Balinese architectural texts to ensure alignment with cultural norms. The completed designs were exported into JPG format using Figma, with accompanying metadata that includes size and structural details to enhance usability. This dataset aims to support researchers, cultural preservationists, and educators in exploring and preserving Balinese architectural heritage.

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巴厘岛传统建筑数据集

本研究介绍峇里岛传统建筑的资料集，包括两大类：住宅建筑和神圣建筑。该数据集包括14类住宅建筑68幅图像和29类神圣建筑76幅图像。每个设计都通过使用AutoCAD软件创建的2D图纸来表示，例如正面、侧面、剖面图和平面图。这些图纸精心取材于传统的巴厘岛建筑文本，以确保与文化规范保持一致。完成的设计使用Figma导出为JPG格式，附带包括尺寸和结构细节的元数据，以增强可用性。该数据集旨在支持研究人员、文化保护主义者和教育工作者探索和保护巴厘岛建筑遗产。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Data in Brief MULTIDISCIPLINARY SCIENCES-

CiteScore

3.10

自引率

0.00%

发文量

996

审稿时长

70 days

期刊介绍： Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.