MAPPING SOIL ORGANIC CARBON DENSITY VIA GEOGRAPHICALLY WEIGHTED REGRESSION WITH SMOOTH TERMS: A CASE STUDY IN SHANXI PROVINCE

Mapping soil organic carbon density via geographically weighted regression with smooth terms: A case study in Shanxi Province

Soil, as the largest organic carbon reservoir in terrestrial ecosystems, plays a crucial role in the global carbon cycle.Accurately predicting the spatial distribution of soil organic carbon density (SOCD) is highly important for estimating organic carbon stocks and guiding agricultural production.Due to the complex relationship between the spatial

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Correction of the Caulobacter crescentus NA1000 genome annotation.

Bacterial genome annotations are accumulating rapidly in the GenBank database and the use of automated Bubble Toy annotation technologies to create these annotations has become the norm.However, these automated methods commonly result in a small, but significant percentage of genome annotation errors.To improve accuracy and reliability, we analyzed

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