GSHP: Global database of soil hydraulic properties

A total of 15,259 SWCCs from 2,702 sites were assembled from published literature and other sources, standardized, and quality-checked to obtain global database of soil hydraulic properties (GSHP). The GSHP database covers most regions across the globe, with the highest number of curves from North America followed by Africa, Europe, Asia, South America, Australia/Oceania. In addition to SWCCs, other soil variables such as soil texture (12,233 measurements), bulk density (15,125 measurements), and soil organic carbon (2,255 measurements) are also listed in the database. The R code used for this study is available here: https://github.com/ETHZ-repositories/GSHP-database For more details / to cite this dataset please use: Gupta, S., Papritz, A., Lehmann, P., Hengl, T., Bonetti, S., and Or, D., (2022): Global soil hydraulic properties database (GSHP): a compilation of soil water characteristics data”. Manuscript accepted to <strong>Scientific Data.</strong> Examples of using the GSHP database to generate van Genuchten parameters maps can be found in 10.5281/zenodo.6343570. <strong>Description of the files</strong>: The datasets in this repository include: <strong>WRC_dataset_surya_et_al_2021_final </strong>provides a global compilation of soil hydraulic properties and the information described in the<strong> Readme_GSHP file</strong>. <strong>Dataset_notebook </strong>shows the graphical representation of the GSHP database. The study was supported by ETH Zurich (Grant ETH-18 18-1).本研究从已发表文献及其他数据源中汇编了来自2702个采样点的共计15259条土壤水分特征曲线（Soil Water Characteristic Curves, SWCCs），经标准化处理与质量校验后，构建得到全球土壤水力性质数据库（Global Soil Hydraulic Properties, GSHP）。该GSHP数据库覆盖全球绝大多数区域，其中土壤水分特征曲线的数量以北美洲最多，其次依次为非洲、欧洲、亚洲、南美洲及大洋洲/澳大利亚。除土壤水分特征曲线外，数据库还收录了其他土壤属性数据，包括12233条土壤质地测定值、15125条容重测定值以及2255条土壤有机碳测定值。本研究使用的R代码可通过以下链接获取：https://github.com/ETHZ-repositories/GSHP-database。如需获取更多细节或引用该数据集，请使用以下著录格式：Gupta, S., Papritz, A., Lehmann, P., Hengl, T., Bonetti, S. 及 Or, D. (2022)：全球土壤水力性质数据库（GSHP）：土壤水分特征数据汇编。该稿件已被<strong>Scientific Data</strong>（《科学数据》）接收。利用GSHP数据库生成范·盖嫩特（van Genuchten）参数分布图的示例可通过10.5281/zenodo.6343570获取。<strong>文件说明</strong>：本仓库中的数据集包含：<strong>WRC_dataset_surya_et_al_2021_final</strong> 收录了全球土壤水力性质汇编数据及<strong>Readme_GSHP文件</strong>中描述的相关信息；<strong>Dataset_notebook</strong> 用于展示GSHP数据库的可视化结果。本研究得到苏黎世联邦理工学院（ETH Zurich）资助（项目编号：ETH-18 18-1）。