Sample Point Data of Farmland Quality Monitoring in Quanzhou City, Fujian Province (2018–2020)
Description
This dataset includes sample point number, location, administrative district name, latitude and longitude coordinates, soil type, sampling depth, organic matter, pH, alkaline hydrolysis nitrogen, available potassium, available phosphorus, soil sand content, silt content, clay content, and other related parameters.
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Steps to reproduce
This dataset was obtained from the farmland quality monitoring project in Quanzhou City, Fujian Province, conducted by the laboratory from 2018 to 2020. The data acquisition process is described as follows: Sample Point Selection: Sample points were selected based on the administrative divisions of Quanzhou City, covering different agricultural areas. To ensure representativeness and diversity, the sample points covered regions with varying soil types and land use practices. The distribution of sample points considered geographic, climatic, and soil type variations. Field Sampling: At each sample point, field sampling was carried out by the research team. The sampling depth and methods were determined based on common agricultural land cultivation conditions. Data collected included soil organic matter content, pH, soil type (such as sand, silt, and clay content), and other relevant parameters. Laboratory Analysis: The collected soil samples were sent to the laboratory for chemical and physical property analysis, including but not limited to measurements of alkaline hydrolysis nitrogen, available potassium, and available phosphorus. All samples were processed following standardized procedures to ensure consistency and accuracy of the data. Data Entry and Storage: All measurement results were entered into standardized data tables, categorized by sample point number, location, soil type, and other information. The data was stored in a dedicated database for further analysis. Reproducibility and Data Sharing: To ensure that others can reproduce our research, we provide detailed descriptions of the sampling methods and data entry procedures. Additionally, the dataset is available through public channels for access, enabling other researchers to validate and use the data.