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Abstract
Soil hydraulic parameters are vital for precisely characterizing soil hydrological processes, which are critical indicators for regulating climate change effects on terrestrial ecosystems and governing feedbacks between water, energy, and carbon–nitrogen cycles. Although many studies have integrated comprehensive soil datasets, data quality and cost challenges result in data completeness deficiencies, especially for deep soil information. These gaps not only impede methodological endeavours but also constrain soil parameter-based ecosystem process studies spanning from local profiles to global earth system models. We established a soil dataset across the entire Yellow River Basin (YRB) (795,000 km2) using high-density in situ field sampling. This observation-based dataset contains records of soil texture (2924), bulk density (2798), saturated hydraulic conductivity (2782), and water retention curve parameters (1035) down to a maximum depth of 5 m. This dataset, which extends the recorded data range for deep soil hydraulic parameters, is valuable as a direct data resource for environmental, agronomical and hydrological studies in the YRB and regions with similar pedological and geological backgrounds around the world.
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1 Chinese Academy of Sciences, State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Xi’an, China (GRID:grid.9227.e) (ISNI:0000000119573309); University of Chinese Academy of Sciences, Beijing, China (GRID:grid.410726.6) (ISNI:0000 0004 1797 8419); UMR Ecosys, Université Paris-Saclay, INRAE, AgroParisTech, Palaiseau, France (GRID:grid.503170.0); National Observation and Research Station of Earth Critical Zone on the Loess Plateau, Xi’an, China (GRID:grid.503170.0)
2 Chinese Academy of Sciences, State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Xi’an, China (GRID:grid.9227.e) (ISNI:0000000119573309); University of Chinese Academy of Sciences, Beijing, China (GRID:grid.410726.6) (ISNI:0000 0004 1797 8419); National Observation and Research Station of Earth Critical Zone on the Loess Plateau, Xi’an, China (GRID:grid.410726.6); Xi’an Jiaotong University, Department of Earth and Environmental Sciences, Xi’an, China (GRID:grid.43169.39) (ISNI:0000 0001 0599 1243)
3 Chinese Academy of Sciences, State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Xi’an, China (GRID:grid.9227.e) (ISNI:0000000119573309); University of Chinese Academy of Sciences, Beijing, China (GRID:grid.410726.6) (ISNI:0000 0004 1797 8419); National Observation and Research Station of Earth Critical Zone on the Loess Plateau, Xi’an, China (GRID:grid.410726.6)
4 Chinese Academy of Sciences, State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Xi’an, China (GRID:grid.9227.e) (ISNI:0000000119573309); National Observation and Research Station of Earth Critical Zone on the Loess Plateau, Xi’an, China (GRID:grid.9227.e); Xi’an Institute for Innovative Earth Environment Research, Xi’an, China (GRID:grid.458457.f) (ISNI:0000 0004 1792 8067)
5 UMR Ecosys, Université Paris-Saclay, INRAE, AgroParisTech, Palaiseau, France (GRID:grid.503170.0)