<?xml version="1.0" encoding="UTF-8"?><resource xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.3/metadata.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4"><identifier identifierType="DOI">10.1594/PANGAEA.965004</identifier><creators><creator><creatorName>Tong, Yongping</creatorName><givenName>Yongping</givenName><familyName>Tong</familyName></creator><creator><creatorName>Wang, Yunqiang</creatorName><givenName>Yunqiang</givenName><familyName>Wang</familyName></creator><creator><creatorName>Zhou, Jingxiong</creatorName><givenName>Jingxiong</givenName><familyName>Zhou</familyName></creator><creator><creatorName>Guo, Xiangyu</creatorName><givenName>Xiangyu</givenName><familyName>Guo</familyName></creator><creator><creatorName>Wang, Ting</creatorName><givenName>Ting</givenName><familyName>Wang</familyName></creator><creator><creatorName>Xu, Yuting</creatorName><givenName>Yuting</givenName><familyName>Xu</familyName></creator><creator><creatorName>Sun, Hui</creatorName><givenName>Hui</givenName><familyName>Sun</familyName></creator><creator><creatorName>Zhang, Pingping</creatorName><givenName>Pingping</givenName><familyName>Zhang</familyName></creator><creator><creatorName>Li, Zimin</creatorName><givenName>Zimin</givenName><familyName>Li</familyName></creator><creator><creatorName>Lauerwald, Ronny</creatorName><givenName>Ronny</givenName><familyName>Lauerwald</familyName><nameIdentifier schemeURI="http://orcid.org/" nameIdentifierScheme="ORCID">0000-0001-5554-0897</nameIdentifier></creator></creators><titles><title>Dataset of Soil Hydraulic Parameters in the Yellow River Basin</title></titles><publisher>PANGAEA</publisher><publicationYear>2024</publicationYear><subjects><subject>Deep profile</subject><subject>In situ sampling</subject><subject>Soil hydraulic parameters</subject><subject>Yellow River Basin</subject><subject subjectScheme="Parameter">Event label</subject><subject subjectScheme="Parameter">Identification</subject><subject subjectScheme="Parameter">Sample ID</subject><subject subjectScheme="Parameter">LONGITUDE</subject><subject subjectScheme="Parameter">LATITUDE</subject><subject subjectScheme="Parameter">ELEVATION</subject><subject subjectScheme="Parameter">Land use</subject><subject subjectScheme="Parameter">Year of sampling</subject><subject subjectScheme="Parameter">DEPTH, soil</subject><subject subjectScheme="Parameter">Clay</subject><subject subjectScheme="Parameter">Silt</subject><subject subjectScheme="Parameter">Sand</subject><subject subjectScheme="Parameter">Analytical method</subject><subject subjectScheme="Parameter">Soil texture quality</subject><subject subjectScheme="Parameter">Soil texture classification</subject><subject subjectScheme="Parameter">Density, dry bulk</subject><subject subjectScheme="Parameter">Conductivity, hydraulic, saturated</subject><subject subjectScheme="Parameter">Soil water content, volumetric</subject><subject subjectScheme="Parameter">Soil water content, fitted, satured</subject><subject subjectScheme="Parameter">Soil water content, fitted, residual</subject><subject subjectScheme="Parameter">Genuchten shape parameter α, fitted</subject><subject subjectScheme="Parameter">Genuchten shape parameter n, fitted</subject><subject subjectScheme="Parameter">Genuchten shape parameter m, fitted</subject><subject subjectScheme="Parameter">Field capacity, fitted</subject><subject subjectScheme="Parameter">Permanent wilting point, soil, fitted</subject><subject subjectScheme="Parameter">Coefficient of determination</subject><subject subjectScheme="Parameter">Soil water content, satured, error, relative</subject><subject subjectScheme="Parameter">Quantile range</subject><subject subjectScheme="Method">Soil sample</subject><subject subjectScheme="Method">WGS84</subject><subject subjectScheme="Method">Particle size analyzer, Malvern Panalytical, Mastersizer 3000 laser</subject><subject subjectScheme="Method">Calculated, see Comment</subject><subject subjectScheme="Method">USDA soil taxonomy</subject><subject subjectScheme="Method">Oven dried at 105°C for 10 hours</subject><subject subjectScheme="Method">see comment</subject><subject subjectScheme="Method">Centrifuge, Hitachi, CR21N</subject><subject subjectScheme="Method">Calculated, based on soilhypfit package in R (4.2.3)</subject></subjects><resourceType resourceTypeGeneral="Dataset">Dataset</resourceType><relatedIdentifiers><relatedIdentifier relatedIdentifierType="DOI" relationType="IsSupplementTo">10.1038/s41597-024-03576-7</relatedIdentifier></relatedIdentifiers><sizes><size>57916 data points</size></sizes><formats><format>text/tab-separated-values</format></formats><rightsList><rights rightsURI="https://creativecommons.org/licenses/by/4.0/" schemeURI="https://spdx.org/licenses/" rightsIdentifierScheme="SPDX" rightsIdentifier="CC-BY-4.0">Creative Commons Attribution 4.0 International</rights></rightsList><descriptions><description descriptionType="Abstract">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.<br/>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.<br/>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.</description><description descriptionType="TechnicalInfo">Principal Investigator (PI) for all parameters are Yunqiang Wang and Yongping Tong.<br/>Further method/device information:<br/>* Soil texture quality: The absolute difference between the sum of particle size distribution and 100%, Level A (&lt;1%), Level B (1%≤difference&lt;2%), and Level C (2%≤difference&lt;3%)<br/>* Field capacity [fit_FC] and Permanent wilting point [PWP]: Predicted by fitted SWRC curve based on 'soilhypfit' package in R (4.2.3)<br/>* Soil saturated water conductivity [Ks]: Constant-head method<br/>* Coefficient of determination [fit_r²]: Coefficient of determination when fitting SWRC based on 'soilhypfit' package in R<br/>* Error, relative [θs_RE]: The absolute value of ((meaured_θs - fit_θs) / 100)</description></descriptions><geoLocations><geoLocation><geoLocationBox><westBoundLongitude>97.328725</westBoundLongitude><eastBoundLongitude>118.705833</eastBoundLongitude><southBoundLatitude>33.434925</southBoundLatitude><northBoundLatitude>41.07922</northBoundLatitude></geoLocationBox></geoLocation><geoLocation><geoLocationPlace>China</geoLocationPlace></geoLocation></geoLocations><fundingReferences><fundingReference><funderName>National Key Research and Development Program of China</funderName><funderIdentifier funderIdentifierType="Crossref Funder ID">https://doi.org/10.13039/501100012166</funderIdentifier><awardNumber>2019YFA0607303</awardNumber></fundingReference><fundingReference><funderName>National Natural Science Foundation of China</funderName><funderIdentifier funderIdentifierType="Crossref Funder ID">https://doi.org/10.13039/501100001809</funderIdentifier><awardNumber>41977422</awardNumber></fundingReference></fundingReferences></resource>