Table 1_Mechanistic insights into nitrogen fertilizer regulation of carbon-nitrogen cyclin

Table 1_Mechanistic insights into nitrogen fertilizer regulation of carbon-nitrogen cycling and greenhouse gas emissions: a metagenomics-based investigation is a dataset from a 2023–2024 study analyzing the impact of six nitrogen application rates on soil microbial communities and greenhouse gas fluxes. The research, authored by Tiantian Meng and shared on figshare, used 16S amplicon and metagenomic sequencing to quantify functional gene abundances related to carbon and nitrogen cycles. It links these microbial metrics to measured emissions of CH₄, N₂O, and CO₂.

Use Cases

• Modeling the relationship between nitrogen application rates and greenhouse gas emission fluxes based on the described CH₄, N₂O, and CO₂ measurements.
• Analyzing shifts in soil bacterial alpha-diversity (Shannon, Chao, PD indices) in response to different fertilizer treatments.
• Investigating the abundance of functional genes for processes like denitrification (narG, nirS) and nitrification (nxrA, amoC) across fertilizer gradients.
• Studying the correlation between soil nutrient variables (total nitrogen, nitrate nitrogen, microbial biomass carbon) and microbial community structure.
• Identifying optimal nitrogen application rates for emission mitigation by comparing microbial and gas flux data across the N0 to N360 treatments.

Strengths

• Dataset is derived from a controlled experiment with six specific nitrogen application rates (N0 to N360), providing a clear treatment gradient.
• Includes concrete measurements of bacterial alpha-diversity changes, such as a 10.82% increase in the Shannon index under N240 treatment compared to N0.
• Links metagenomic data on numerous functional genes (e.g., nirB, nasA, pmoA) to direct measurements of three major greenhouse gases (CH₄, N₂O, CO₂).
• Study was conducted in a defined time period (2023–2024), providing temporal context for the data.

Limitations

• Row count and specific column definitions are unknown, requiring manual inspection after download to understand data structure.
• The geographic location and soil type of the study are not specified, which may limit generalizability.
• The dataset is relatively small at 1.7 MB, which may indicate limited sample size or scope.

Provenance

Source

Tiantian Meng via figshare.

Collection Method

Data likely generated from a controlled field or lab experiment using 16S amplicon sequencing, metagenomic sequencing, and gas flux measurements.

Time Range

Study conducted 2023–2024.

Freshness

Last updated 2026-04-17 05:08:47.