2026-10-12T15:30:06Z https://www.scidb.cn/oai

10.57760/sciencedb.j00001.01657 2026-06-12T15:13:11Z

2026-06-12 Dataset of Maize Yield, Soil Moisture, and Nitrate Nitrogen under Nitrogen Fertilizer Management on the Loess Plateau (2017–2020) doi:10.57760/sciencedb.j00001.01657 en Compared to short-term monitoring, high-quality long-term observational data are particularly valuable as they can capture the cumulative effects of environmental evolution and agricultural management practices, thereby providing precise data support for subsequent research. Fixed-point field monitoring conducted under different nitrogen application regimes in the rainfed agricultural region of the Loess Plateau systematically recorded the distribution of soil water, the residual nitrate content in the soil profile, and the biomass of spring maize, thereby facilitating the identification of response mechanisms and processes of dryland spring maize systems to nitrogen management. This effort is crucial for elucidating the response mechanisms and processes of the dryland spring maize system to nitrogen management. This dataset comprises data on soil water content and nitrate nitrogen content across different soil layers, as well as spring maize biomass at harvest, under four nitrogen management patterns: reduced nitrogen application (CK, N1, N2, N3, N4), straw deep incorporation (CON1, CON2, CR1, CR2), nitrification inhibitor application (CRN1, CRN2, CRN3, CRN4), and slow/controlled-release fertilizer application (CRS1, CRS2, CRS3). Covering the period from 2017 to 2020, the data were collected by different researchers at various times following unified protocols. The process encompassed the entire workflow from field surveys and laboratory analyses to multiple rounds of verification and review, resulting in a relatively complete and accurate dataset that includes comprehensive background site information and data observation methodologies. This dataset provides fundamental data for understanding the response patterns of the spring maize system to long-term differentiated nitrogen management in the Loess Plateau region. It also serves as a data foundation for subsequent regional nitrogen fertilizer optimization, efficient utilization of water and fertilizer resources, and the promotion of sustainable agricultural development. Loess Plateau; Spring maize; Yield; Nitrogen fertilizer management Li Hanting Liu Xing Guo Shengli Dang Tinghui Wang Rui PUBLIC https://creativecommons.org/licenses/by-nc-nd/4.0/ dataset http://www.doi.org/10.11922/11-6035.csd.2025.0206.zh Science Data Bank