My dataset

In present study, latitude, slope positions, and their interaction influencing the FGs and enzymes were systematically analyzed from various aspects in the Mollisols belt of Northeast China (42°47′N-48°9′N). The main findings were that, when latitude and slope positions were considered together, the combined use of full subset multiple regression, variance decomposition, two-way analysis of variance, and extreme gradient boosting machine learning showed that their interactions had a strong effect on soil C, N and P enzymes activities and corresponding FGs. This dataset mainly includes the abundance of functional genes related to soil carbon degradation, carbon fixation, nitrogen cycling, and phosphorus cycling. It closely involves soil enzyme activity and environmental factor data related to soil carbon, nitrogen, and phosphorus cycling.This dataset mainly includes the abundance of functional genes related to soil carbon degradation, carbon fixation, nitrogen cycling, and phosphorus cycling. It closely involves soil enzyme activity and environmental factor data related to soil carbon, nitrogen, and phosphorus cycling.