This readme.txt file was generated on 20210304 by Beverly Flood


-------------------
GENERAL INFORMATION
-------------------


1. Title of Dataset 
Giant sulfur bacteria (Beggiatoaceae) from sediments below the Benguela Upwelling System the host diverse microbiomes 

2. Author Information


  Principal Investigator Contact Information
        Name: Jake Bailey
           Institution: University of Minnesota
           Address: Department of Earth and Environmental Sciences
           Email: baileyj@umn.edu
	   ORCID: https://orcid.org/0000-0002-7655-5200

  Associate or Co-investigator Contact Information
        Name: Beverly Flood
           Institution: University of Minnesota
           Address: Department of Earth and Environmental Sciences
           Email: beflood@umn.edu
	   ORCID: https://orcid.org/0000-0003-2973-043X

3. Date of data collection: 20170420-20170427


4. Geographic location of data collection: 
continental shelp sediments under the Benguela Upwelling System, Africa

5. Information about funding sources that supported the collection of the data:
This work was funded by Simons Foundation award #341838 and the National Science Foundation award #1935351.



--------------------------
SHARING/ACCESS INFORMATION
-------------------------- 


1. Licenses/restrictions placed on the data:
CC0 1.0 Universal

2. Links to publications that cite or use the data:
in review

3. Links to other publicly accessible locations of the data:
NCBI Sequence Read Archive Bioproject PRJNA706699

4. Links/relationships to ancillary data sets:
None

5. Recommended citation for the data:
 Flood, Beverly, E; Bailey, Jake, V.. (2021). Giant sulfur bacteria (Beggiatoaceae) from sediments below the Benguela Upwelling System the host diverse microbiomes. Retrieved from the Data Repository for the University of Minnesota, https://hdl.handle.net/11299/219001. 



---------------------
DATA & FILE OVERVIEW
---------------------


1. File List
   A. Filename: ASVs.fa       
      Short description:  Fasta file of 16S rRNA genes ASVs amplified with V4 region primers and assembled with DADA2      


        
   B. Filename: New_DADA2_firstout_4pub.xlsx       
      Short description: A spreadsheet of 16S rRNA genes ASVs taxonomic identification and counts by sample location. 40,521 rows.        


        
   C. Filename: P18_processing_4_publication.html       
      Short description:  Linux and R commands used to generate the ASVs and analyses pertaining to date in the referenced manuscript


2. Relationship between files:        
Commands in file #C were used to generate files #A & #B


3. Are there multiple versions of the dataset? No


--------------------------
METHODOLOGICAL INFORMATION
--------------------------


1. Description of methods used for collection/generation of data: 
in review

2. Methods for processing the data:
see Materials and Methods in referenced manuscript

3. Instrument- or software-specific information needed to interpret the data:
see Materials and Methods in referenced manuscript

4. Standards and calibration information, if appropriate:
see Materials and Methods in referenced manuscript

5. Environmental/experimental conditions:
see Materials and Methods in referenced manuscript

6. Describe any quality-assurance procedures performed on the data:
see Materials and Methods in referenced manuscript

7. People involved with sample collection, processing, analysis and/or submission:
see Materials and Methods in referenced manuscript