Evolution of Soil Organic Carbon Fractions and the Underlying Microbial Regulatory Mechanisms Driven by Short-Term Rice Residue Incorporation

Published: 29 September 2026| Version 1 | DOI: 10.17632/333y5yv3pj.1
Contributor:
Xiangjie Meng

Description

This dataset was derived from a experiment conducted from April 2024 to October 2024 at the National Field Observation and Research Station of Shenyang Farmland Ecosystem, Liaoning Province, China (41°40′N, 123°30′E). The experimental site is located in a temperate semi-humid continental monsoon climate zone, with a mean annual temperature of 7–8 °C, a frost-free period of 147–164 days, and an annual precipitation of 650–700 mm. The dataset comprises six files: (1) infrared_spectrum.csv — RAW Fourier-transform infrared (FTIR) spectra (wavenumber, cm⁻¹ vs. absorbance) of particulate organic carbon (POC) and mineral-associated organic carbon (MAOC) fractions. Samples were oven-dried at 60 °C prior to analysis. Spectra were recorded on a Nicolet Summit PRO FTIR spectrometer (Thermo Fisher Scientific, USA) over the range 400–4000 cm⁻¹ with 16 scans per sample. These are unprocessed raw spectra; baseline correction, smoothing, and peak attribution of five characteristic functional groups (A₁₀₈₀ Si–O, A₁₀₃₀ C–O, A₁₆₃₀ C=C, A₂₉₂₅ C–H, A₃₄₄₀ O–H) were performed in OriginPro 2025 following Lei et al. (2023); two-dimensional correlation spectroscopy (2D-COS) was interpreted according to Noda's rules (Noda, 1993). (2) fluorescence_spectrum.xlsx — RAW three-dimensional excitation–emission matrix (3D-EEM) fluorescence spectra of dissolved organic matter (DOM) without inner-filter effect correction or Raman normalization. Samples were diluted to a DOC concentration of 5 mg L⁻¹ and measured on a Hitachi F-7100 fluorescence spectrometer (150 W xenon arc lamp) with excitation at 200–450 nm and emission at 280–550 nm (both at 5 nm intervals), a scan speed of 2400 nm min⁻¹, and a PMT voltage of 700 V. PARAFAC modeling, fluorescence regional integration (FRI), and four fluorescence indices (FI, HIX, BIX, and FrI) were calculated from these raw spectra following Stedmon & Bro (2008), He et al. (2013), Coble (1996), and Fellman et al. (2010). (3) bacteria_otu_number.csv — bacterial OTU abundance table derived from 16S rRNA gene amplicon sequencing of the V3–V4 region (primers 341F/806R; QIIME2 v2024.2 platform with DADA2 denoising; SILVA database for taxonomy assignment). Rows represent OTU IDs, columns represent sample IDs, and values represent sequence read counts. (4) bacteria.fasta — representative bacterial OTU sequences in FASTA format; sequence headers correspond one-to-one with the OTU IDs in file (3). (5) fungi_otu_number.txt — fungal OTU abundance table derived from ITS amplicon sequencing (primers ITS5-1737F/ITS2-2043R; UNITE database for taxonomy assignment), formatted identically to file (3). (6) fungi.fasta — representative fungal OTU sequences in FASTA format; sequence headers correspond one-to-one with file (5).

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Infrared Spectroscopy, Microbial Community

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