Building and Neighborhood Data Considering Energy in Dublin, Ireland

Central to our investigation is the Building Energy Rating (BER) dataset of Ireland, sourced from GeoDirectory data. This dataset provides a foundational resource, encompassing a comprehensive range of building-scale parameters such as detailed addresses, geocode data (latitude and longitude), area, height, number of floors, roof type, construction age, radon emission, HVAC system details, and bedroom and bathroom counts. To enrich this dataset, we incorporated additional features from the Digital Landscape Models (DLM) Core Data from Tailte Éireann Surveying (PRIME2 Dataset). These enhancements include metrics such as nearest neighbor buildings, the density of the built environment surrounding each building, and district attributes like the ratio of green area to non-green area in the urban vicinity.本研究的核心数据集为源自地理目录（GeoDirectory）数据的爱尔兰建筑能源评级（Building Energy Rating, BER）数据集。该数据集作为基础性研究资源，涵盖了全面的建筑尺度参数，包括详细地址、地理编码数据（纬度与经度）、建筑面积、建筑高度、楼层数、屋顶类型、建造年代、氡辐射水平、暖通空调（Heating, Ventilation and Air Conditioning, HVAC）系统细节，以及卧室与浴室的数量。为进一步丰富该数据集，我们纳入了爱尔兰Tailte Éireann测绘局提供的数字景观模型（Digital Landscape Models, DLM）核心数据（PRIME2数据集）中的新增特征。这些增强特征包括：各建筑的最近邻建筑距离、单栋建筑周边的建成环境密度，以及城市周边区域绿地与非绿地面积比等街区属性指标。