Lalande Philippe, Hébert Marc, Lalonde Jean-François, Espinoza-Sanhueza Carolina, Demers Claude Mh
GRAP Groupe de Recherche en Ambiances Physiques, School of Architecture, Université Laval, Quebec, QC, Canada.
CERVO Brain Research Centre, Department of Ophthalmology and Otorhinolaryngology, Faculty of Medicine, Université Laval, Quebec, QC, Canada.
Data Brief. 2024 Jun 21;55:110658. doi: 10.1016/j.dib.2024.110658. eCollection 2024 Aug.
This paper details an imagery dataset of interior and exterior ambiances to assess and represent photobiological outcomes of the built environment in northern territories. The images were obtained using a Raspberry Pi Camera Module (RPiCM) mounted in a holder that fixes the camera in place. This holder allows to rotate the camera by 30° and take 12 high dynamic range (HDR) images which are then combined to create a panoramic image. The HDR images enable the calculation of photobiological effects concerning photopic light intensity for vision, and the spectral dominance regarding vision and circadian stimulation. This dataset includes 13 captures in 7 interior and 6 exterior settings, each divided into 4 subfolders containing the photographic data: the sequence of low-dynamic range images (LDR), the tone-mapped images obtained from the HDR calculation, the analysis of photopic luminance and false color, and 360° panoramic images (tone-mapped HDR, false color luminance, and spectral dominance). Each space is also supplemented with photometric data presented as a .csv file containing lux and EML units obtained via a radiometer. This dataset is valuable for architects, designers, and neuroscientists to identify opportunities for enhancing human-centric lighting in existing architecture and landscape, as well as to propose solutions that promote vision and circadian stimulation in northern territories. This research was partially used in previous studies from [10]. The dataset is published and shared through a Mendeley repository [9].
本文详细介绍了一个室内外环境图像数据集，用于评估和呈现北方地区建筑环境的光生物学结果。这些图像是使用安装在固定相机位置的支架上的Raspberry Pi相机模块（RPiCM）获得的。该支架可使相机旋转30°并拍摄12张高动态范围（HDR）图像，然后将这些图像合并以创建全景图像。HDR图像能够计算与视觉明视觉光强度相关的光生物学效应，以及与视觉和昼夜节律刺激相关的光谱优势。该数据集包括在7个室内和6个室外环境中的13次拍摄，每个环境分为4个子文件夹，包含摄影数据：低动态范围图像（LDR）序列、从HDR计算获得的色调映射图像、明视觉亮度和伪彩色分析，以及360°全景图像（色调映射HDR、伪彩色亮度和光谱优势）。每个空间还补充了光度数据，以.csv文件形式呈现，包含通过辐射计获得的勒克斯和EML单位。该数据集对于建筑师、设计师和神经科学家识别增强现有建筑和景观中以人为本照明的机会，以及提出促进北方地区视觉和昼夜节律刺激的解决方案具有重要价值。本研究部分用于之前来自[10]的研究。该数据集通过Mendeley存储库[9]发布和共享。
