PANGAEA_965004 Dataset of Soil Hydraulic Parameters in the Yellow River Basin Tong, Yongping; Wang, Yunqiang; Zhou, Jingxiong; Guo, Xiangyu; Wang, Ting; Xu, Yuting; Sun, Hui; Zhang, Pingping; Li, Zimin; Lauerwald, Ronny Dataset of Soil Hydraulic Parameters in the Yellow River Basin 2024-06-21 PANGAEA Dataset https://doi.pangaea.de/10.1594/PANGAEA.965004 Investigator Yunqiang Wang wangyq@ieecas.cn Earth Science Event label Identification Sample ID LONGITUDE LATITUDE ELEVATION Land use Year of sampling DEPTH, soil Clay Silt Sand Analytical method Soil texture quality Soil texture classification Density, dry bulk Conductivity, hydraulic, saturated Soil water content, volumetric Soil water content, fitted, satured Soil water content, fitted, residual Genuchten shape parameter α, fitted Genuchten shape parameter n, fitted Genuchten shape parameter m, fitted Field capacity, fitted Permanent wilting point, soil, fitted Coefficient of determination Soil water content, satured, error, relative Quantile range geoscientificInformation Deep profile In situ sampling Soil hydraulic parameters Soil sample Yellow_River_Basin_1 Yellow_River_Basin_10 Yellow_River_Basin_100 Yellow_River_Basin_101 Yellow_River_Basin_102 Yellow_River_Basin_103 Yellow_River_Basin_104 Yellow_River_Basin_105 Yellow_River_Basin_106 Yellow_River_Basin_107 Yellow_River_Basin_108 Yellow_River_Basin_109 Yellow_River_Basin_11 Yellow_River_Basin_110 Yellow_River_Basin_111 Yellow_River_Basin_112 Yellow_River_Basin_113 Yellow_River_Basin_114 Yellow_River_Basin_115 Yellow_River_Basin_116 Yellow_River_Basin_117 Yellow_River_Basin_118 Yellow_River_Basin_119 Yellow_River_Basin_12 Yellow_River_Basin_120 Yellow_River_Basin_121 Yellow_River_Basin_122 Yellow_River_Basin_123 Yellow_River_Basin_124 Yellow_River_Basin_125 Yellow_River_Basin_126 Yellow_River_Basin_127 Yellow_River_Basin_128 Yellow_River_Basin_129 Yellow_River_Basin_13 Yellow_River_Basin_130 Yellow_River_Basin_131 Yellow_River_Basin_132 Yellow_River_Basin_133 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Yellow_River_Basin_97 Yellow_River_Basin_98 Yellow_River_Basin_99 Yellow River Basin WGS84 Particle size analyzer, Malvern Panalytical, Mastersizer 3000 laser Calculated, see Comment USDA soil taxonomy Oven dried at 105°C for 10 hours see comment Centrifuge, Hitachi, CR21N Calculated, based on soilhypfit package in R (4.2.3) Complete 33.434925 41.07922 97.328725 118.705833 unrestricted CC-BY-4.0: Creative Commons Attribution 4.0 International English PANGAEA Data Publisher for Earth & Environmental Science https://www.pangaea.de/ Data Center Contact Michael Diepenbroek info@pangaea.de

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Bremen Bremen 28359 Germany online 57916 data points text/tab-separated-values Tong, Yongping; Wang, Yunqiang; Zhou, Jingxiong; Guo, Xiangyu; Wang, Ting; Xu, Yuting; Sun, Hui; Zhang, Pingping; Li, Zimin; Lauerwald, Ronny (2024): Dataset of soil hydraulic parameters in the Yellow River Basin based on in situ deep sampling. Scientific Data, 11(1), 740, https://doi.org/10.1038/s41597-024-03576-7

Soil hydraulic parameters are vital for precise characterization of soil hydrological processes. Although many studies have integrated comprehensive soil datasets, availability of data in sufficient quality remains limitted, especially for deep soil information from in-situ measurement. This dataset contains soil hydraulic parameter data, including 2924 soil texture, 2798 bulk density (BD), 2782 saturated hydraulic conductivity (Ks), and 1035 soil water retention curve (SWRC) parameter records down to a maximum profile depth of 5 m. It encompasses the entire Yellow River Basin (795,000 km²) which ranking as the fifth longest river in the world. Soil samples were obtained using high-density in situ field sampling at 475 sites from 2008 to 2019. The soil texture, BD, and Ks were directly measured from field samples. Mastersizer laser particle size analysers (Mastersizer 3000, Malvern Panalytical, UK) were used to determine soil particle size distribution and the classification of soil texture followed USDA standards. The undisturbed soil samples were initially immersed for 24 h to achieve full saturation, before we performed the determination of Ks using the constant-head method. The SWRC were measured by centrifuge (CR21N, Hitachi, Japan) first and we then used soilhypfit package in R (4.2.3) to predict SWRC parameters. The BD was assessed by oven-drying method (at 105°C for 10 h). All data underwent quality checks, and the dataset includes detailed annotations regarding the testing methods and data quality for various parameters. ** For all details see the full metadata description at "https://doi.pangaea.de/10.1594/PANGAEA.965004"! ** Principal Investigator (PI) for all parameters are Yunqiang Wang and Yongping Tong. Further method/device information: * Soil texture quality: The absolute difference between the sum of particle size distribution and 100%, Level A (<1%), Level B (1%≤difference<2%), and Level C (2%≤difference<3%) * Field capacity [fit_FC] and Permanent wilting point [PWP]: Predicted by fitted SWRC curve based on 'soilhypfit' package in R (4.2.3) * Soil saturated water conductivity [Ks]: Constant-head method * Coefficient of determination [fit_r²]: Coefficient of determination when fitting SWRC based on 'soilhypfit' package in R * Error, relative [θs_RE]: The absolute value of ((meaured_θs - fit_θs) / 100)

http://en.wikipedia.org/wiki/Coefficient_of_determination Coefficient of determination http://en.wikipedia.org/wiki/Elevation ELEVATION http://en.wikipedia.org/wiki/ISO_6709 LATITUDE http://en.wikipedia.org/wiki/ISO_6709 LONGITUDE https://doi.org/10.1038/s41597-024-03576-7 Dataset of soil hydraulic parameters in the Yellow River Basin based on in situ deep sampling https://en.wikipedia.org/wiki/USDA_soil_taxonomy USDA soil taxonomy https://en.wikipedia.org/wiki/World_Geodetic_System WGS84 DIF 9.4 2024-06-21 2026-04-30