High resolution annual average air pollution concentration maps for the Netherlands

Raster-based air pollution concentration maps for the Netherlands. The dataset consists of air pollution concentration maps for six pollutants (NO2, NO2background, NOx, PM2.5, PM2.5absorbance, PM10), covering the land mass of the Netherlands at 5m spatial resolution. The maps were calculated using the Land Use Regression models from the European Study of Cohorts for Air Pollution Effects (ESCAPE) project. Several Python scripts used for data preparation and the model scripts creating the datasets are included. Use the free 7-Zip to uncompress. Uncompressed size: 78 GiB. A description of concepts, datasets and scripts is given in the manuscript "High resolution annual average air pollution concentration maps for the Netherlands" by Oliver Schmitz, Rob Beelen, Maciej Strak, Gerard Hoek, Ivan Soenario, Bert Brunekreef, Ilonca Vaartjes, Martin J. Dijst, Diederick E. Grobbee, and Derek Karssenberg. <em>Scientific Data</em> 6:190035 (2019). https://doi.org/10.1038/sdata.2019.35 The datasets are licensed under a Creative Commons license (CC-BY 4.0). The Python scripts are licensed under the MIT License. Contact: [e-mail]本数据集为面向荷兰的基于栅格（raster）的空气污染浓度分布图。该数据集涵盖六种污染物的浓度分布图，分别为NO2、NO2本底、NOx、PM2.5、PM2.5吸光度、PM10，空间分辨率为5米，覆盖荷兰全境陆地范围。这些分布图基于欧洲空气污染效应队列研究（European Study of Cohorts for Air Pollution Effects, ESCAPE）项目的土地利用回归模型计算得到。数据集附带了用于数据预处理的若干Python脚本以及构建该数据集的模型脚本，需使用免费的7-Zip工具进行解压，未压缩数据总大小为78吉字节（GiB）。 相关概念、数据集与脚本的详细说明见于Oliver Schmitz、Rob Beelen、Maciej Strak、Gerard Hoek、Ivan Soenario、Bert Brunekreef、Ilonca Vaartjes、Martin J. Dijst、Diederick E. Grobbee与Derek Karssenberg合著的论文《荷兰高分辨率年平均空气污染浓度分布图》，发表于《科学数据》（Scientific Data）2019年第6卷，文章编号190035，DOI链接：https://doi.org/10.1038/sdata.2019.35。 本数据集采用知识共享署名4.0（Creative Commons Attribution 4.0, CC-BY 4.0）许可协议进行授权，附带的Python脚本则采用MIT许可协议进行授权。 联系方式：[e-mail]