Climate reanalysis data and hazard masks for DBSCAN clustering - Veneto Region (2018-2022)

This dataset contains the input climate data needed to execute the DBSCAN clustering code (jupyter notebook) for the identification of multi-hazard spatial and temporal footprints in the Veneto Region. This dataset is to be used only for testing the code. The publication with the results of the complete analyses is in preparation and will cover 1991-2022 for historical scenario and 2023-2070 for future scenarios (RCP 4.5 and RCP 8.5).本数据集包含用于运行DBSCAN（Density-Based Spatial Clustering of Applications with Noise，基于密度的带噪声应用空间聚类）聚类代码（Jupyter Notebook）的输入气候数据，该代码用于识别威尼托大区的多灾害时空足迹。本数据集仅用于代码测试。目前包含完整分析结果的学术论文尚在筹备中，其研究范围将涵盖1991—2022年的历史情景，以及2023—2070年的未来情景（典型浓度路径（Representative Concentration Pathway，RCP）4.5与RCP 8.5）。