Experimental dataset of biochar improved soil
Description
The dataset contains 113 sets of data and is intended for the training of machine learning models. The data include the chemical properties of biochar (e.g., pH, cation exchange capacity,electrical conductivity), experimental time, amount of biochar added, soil properties before and after improvement(e.g., pH, cation exchange capacity,electrical conductivity), and pH value. The dataset covers a variety of biochar types and soil types, and the types of biochar come from a wide range of sources, involving a variety of organic wastes and agricultural and forestry wastes, among which the soil is mainly divided into weakly acidic, weakly alkaline and neutral. The action time of biochar is uniformly measured in days, and its mass fraction (wt%) represents the ratio of biochar to soil mass. This study provides an accurate numerical basis for the analysis of the effect of biochar on soil improvement. These diverse data provide rich information support for the study of the application effect of biochar.