1) Data content: CT scan dataset of vegetation-soil-rock three-dimensional spatial structure of typical watersheds in Qilian Mountains, the data includes the volume density of moss layers at different depths, soil macroporosity and soil gravel volume density data in typical watersheds of Qilian Mountains; 2) Data Source and processing method: The moss layer and the undisturbed soil column with a depth of 30 cm under the moss cover were collected in a typical small watershed of the Qilian Mountains, and the moss layer and the undisturbed soil column were scanned with an industrial X-ray three-dimensional microscope; 3) Data quality description: The resolution of moss layer is 40 μm, and the resolution of undisturbed soil column is 68 μm; 4) Data application results and prospects: CT scan data set of vegetation-soil-rock three-dimensional spatial structure of typical small watersheds in Qilian Mountains is suitable for ecological restoration, water resources management and utilization in Qilian Mountains. It is of great significance and can provide basic data and theoretical support for elaborating the water conservation function and mechanism of the Qilian Mountains.
HU Xia
1) Soil environmental quality data of typical industrial parks in Huangshui basin of Qinghai Province provide basic support for soil pollution control caused by regional industrial activities; 2) The data source is the soil samples of typical areas in Huangshui River Basin. After collection, the samples are quickly stored in the refrigerator at - 4 ℃ and sent to the laboratory as soon as possible. After pretreatment, the relevant parameters are tested; 3) The process of sample collection and transportation meets the specifications, and the experimental detection process strictly follows the relevant standards. Due to the changes of various factors of soil environment, the results are only aimed at the investigation results; 4) The data can be used to analyze regional soil pollution and heavy metal risk assessment;
WANG Lingqing
We developed a 1-km resolution long-term soil moisture dataset of China derived through machine learning trained with in-situ measurements of 1,648 stations, named as SMCI1.0 (Soil moisture of China based on In-situ data, Li et al, 2022). SMCI1.0 provides 10-layer soil moisture with 10 cm intervals up to 100 cm deep at daily resolution over the period 2000-2020. Random Forest is used to predict soil moisture using ERA5-land time series, leaf area index, land cover type, topography and soil properties as covariates. Using in-situ soil moisture as the benchmark (The data comes from China Meteorological Administration), two independent experiments are conducted to investigate the estimation accuracy of the SMCI1.0: year-to-year experiment (ubRMSE ranges from 0.041-0.052 and R ranges from 0.883-0.919) and station-to-station experiment (ubRMSE ranges from 0.045-0.051 and R ranges from 0.866-0.893). As SMCI1.0 is based on in-situ data, it can be useful complements of existing model-based and satellite-based datasets for various hydrological, meteorological, and ecological analyses and modeling, especially for those applications requiring high resolution SM maps. Please read the readme file for more details. We provided two versions with different resolution, i.e., 30 arc seconds (~1km) and 0.1 degree (~9km).
SHANGGUAN Wei, LI Qingliang , SHI Gaosong
(1) Content: This data contains two tables: SyrDarya_201705_part.xlsx and SyrDarya_201709_part.xlsx attribute field: "Point", "Longitude", "Latitude", and "SAL" represent "Point Id", "Longitude", "Latitude", and "Total salt (‰)". (a) SyrDarya_201705_part.xlsx is sample data of the Syr Dayra River Basin in May 2017, which lack of the "PH" field. (b) SyrDarya_201709_part.xlsx is sample data of the Syr Dayra River Basin in September 2017, it contains the "PH" field. (2) According to the standard process of data processing(①Soil Testing Part 16: Method for determination of total water-soluble salt，②Soil Testing Part 2:Method for determination of soil PH), the soil sampling data in the Syr Dayra River Basin are processed, analyzed and sorted out, so as to select the soil sample collection and detection data set in the Syr Dayra River Basin. (3) This data is soil sampling data, which can be used to monitor soil salinization and other studies.
LUO Geping
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