Data and scripts underlying the publication: Urban scaling of well-being for cities in the Netherlands, the urban centre versus the functional urban area.

The research objective is to see whether indicators of well-being show non-linear urban scaling for cities in the Netherlands. The research uses geo-spatial methods and techniques to obtain well-being values per city, which are then scaled with city size. Different city delineations are compared and analysed with datasets on land use and demographic statistics. Binary dasymetric interpolation is applied to the well-being dataset, using a Dutch residential dataset, to obtain well-being values per city. Datasets used primarily cover well-being and city delineations. The datasets used are freely available online and included in the folder 'Data', for a complete overview and citations refer to the paper (DOI with link will come after publication).The dataset provided here contains the original datasets used for the study: FUA_NL, a dataset with functional urban areas. GHS_SMOD, a dataset with city delineations based on the degree of urbanization method. RIVM, datasets with well-being survey data for the Netherlands (2016). The 'Data' folder further contains datasets by CBS with statistics per grid cell (cbs_vk.._.._vol.gpkg), per administrative unit (wijkenbuurten_...) or information on land use (bbg).The other folders contain main datasets and visualisations produced for the paper.

本研究旨在探究荷兰城市的福祉指标是否呈现非线性城市规模缩放效应。研究采用地理空间方法与技术获取各城市的福祉数值，随后结合城市规模开展缩放分析。研究对多种城市划定方案进行对比分析，并辅以土地利用与人口统计数据集推进相关研究。针对福祉数据集，本研究结合荷兰住宅数据集应用二元密度插值法，以获取各城市的福祉数值。本研究主要使用福祉与城市划定相关数据集，所有所用数据集均可免费在线获取，并收录于"数据"文件夹中；完整数据集概览与引用信息请参见论文（正式发表后将附上带链接的DOI）。本次提供的数据集包含本研究使用的原始数据集：功能都市区数据集FUA_NL（Functional Urban Areas Netherlands）、基于城市化程度方法生成的城市划定数据集GHS_SMOD，以及荷兰2016年福祉调查数据系列RIVM。"数据"文件夹中还包含荷兰中央统计局（Central Bureau of Statistics，CBS）的相关数据集：按网格单元统计的cbs_vk.._.._vol.gpkg、按行政单元统计的wijkenbuurten_...数据集，以及土地利用信息数据集bbg。其余文件夹则包含为本研究论文制作的核心数据集与可视化成果。