2026-10-15T09:16:09Z https://data.mendeley.com/oai

oai:data.mendeley.com/8rbyznpjj6.1 2025-07-04T15:24:00Z

Guo, Zichun Excel Data of Pore Characteristics and POM Distribution under Different Fertilization Treatments in Upland and Paddy Soils Mendeley Data This dataset contains quantitative measurements of soil pore structure and particulate organic matter (POM) distributions derived from two long-term fertilization field experiments conducted on red soil in Jiangxi Province, China. The study sites represent two contrasting agroecosystems: a 38-year upland field and a 43-year paddy field. Four fertilization regimes were implemented at each site: no fertilizer (Control), inorganic fertilizer (NPK), double-rate inorganic fertilizer (2NPK), and a combination of inorganic fertilizer with pig manure (NPKM). Soil samples were collected after the final crop season and scanned using high-resolution X-ray computed tomography (CT). Machine learning-based image analysis techniques were employed to segment and quantify pore networks and POM fractions within intact soil cores. POM was classified into two categories based on morphological traits: fresh POM (primarily undecomposed or partially decomposed plant residues) and decomposed POM (highly fragmented or transformed residues). The Excel file includes: • Pore structure parameters: image-based porosity, connected porosity, mean pore diameter, hydraulic radius, surface area density, and connection probability. • POM metrics: volume density, surface area density, mean volume, mean breadth, and number density for both fresh and decomposed POM. Soil Science Soil Structure 3D Computed Tomography Particulate Organic Matter Dataset doi:10.17632/8rbyznpjj6.1 oai:data.mendeley.com/8rbyznpjj6.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/8rbyznpjj6 2025-07-04T15:24:00Z