This DATSETNAMEreadme.txt file was generated on 2020-4-28 by Yeedong GENERAL INFORMATION 1. Title of Dataset: Data from Co-occurrence pattern and function prediction of bacterial community in Karst cave 2. Author Information A. Principal Investigator Contact Information Name: Yeedong Institution: Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences Address: Mengla, Yunnan, China Email: dongyee007@126.com B. Alternate Contact Information Name: Qingbei Weng Institution: Guizhou Normal University Address: Guiyang, Guizhou, China Email: wengqingbei@gznu.edu.cn 3. Date of data collection (single date, range, approximate date) : 2016-12 4. Geographic location of data collection : Zhijin cave is located in Guizhou Province in China (26º38′31″-26º52′35″N, 105º44′42″-106º11′38″E) 5. Information about funding sources that supported the collection of the data: The Joint Fund of the National Natural Science Foundation of China and the Karst Science Research Center of Guizhou Province (U1812401); Provincial Program on Platform and Talent Development of the Department of Science and Technology of Guizhou China (2019-5661, 2019-5617) DATA & FILE OVERVIEW 1. File List: #OTU based on Pyhlum level,row:sampling site, col:phylum rock otu_table phylum.csv soil otu_table phylum.csv stalactite otu_table phylum.csv #OTU based on Genus level,row:sampling site, col:genus rock otu_table genus.csv soil otu_table genus.csv stalactite otu_table genus.csv #OTU based on species level,row:sampling site, col:species rock otu_table species.csv soil otu_table species.csv stalactite otu_table species.csv #OTU level,row:sampling site, col:OTU rock otu_table.txt soil otu_table.txt stalactite otu_table.txt #raw OTU level,row:sampling site, col:OTU rock otu.txt soil otu.txt stalactite otu.txt #pathway in different level,row:sampling site, col:pathway Pathway1.csv Pathway2.csv #the genus in Phylum abundance,row:genus, col:Phylum and abundance otu_pro.csv soil otu_pro.csv stalactite otu_pro.csv 2. Relationship between files, if important: compositions of community in different levels METHODOLOGICAL INFORMATION 1. Description of methods used for collection/generation of data & Methods for processing the data: Bacterial raw reads were produced by the Illumina MiSeq platform, the raw sequences were assembled for each sample, and low-quality sequences were filtered using QIIME. The OTUs (Operational Taxonomic Units) table for each sample were clustered at the 97 % similarity following the Uparse (http://drive5.com/uparse/), and the OTUs were classified and annotated based on the clustering results using the RDP database (http://rdp.cme.msu.edu) offering aligned and annotated for bacterial 16S rRNA sequences. 3. Instrument- or software-specific information needed to interpret the data: R software