title: DNA sequence of  bacteriumleather sludge in winter
design: The obtained original image data was analyzed by base recognition analysis using the CASAVA software (provided by ILLUMINA, US) to analyze the original sequence and the results were stored in FASTQ format.Mothur software (http://www.mothur.org/) was used to calibrate the original sequence and the chimera was removed to obtain the optimized sequence. The sequences were categorized into operational taxonomic units (OTUs) at 97% similarity level. RDP Classifier Bayesian Algorithm was used for the classification analysis of OTU representative sequence at 97% similarity level.