This codebook.txt file was generated on <2022/23/1> by <Shashank Kamdar>


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GENERAL INFORMATION
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1. Data for The colloidal nature of complex fluids enhances bacterial motility

2. Author Information

  Principal Investigator Contact Information
        Name: Xiang Cheng
           Institution: University of Minnesota
           Email: xcheng@umn.edu
	   ORCID: 0000-0002-2759-764X

  Associate or Co-investigator Contact Information
        Name: Lorraine F. Francis
           Institution: University of Minnesota
           Email: lfrancis@umn.edu 
	   ORCID: 0000-0003-2516-2957


	Name: Shashank Kamdar 
           Institution: University of Minnesota
           Email: kamda008@umn.edu
	   ORCID:

	Name: Seunghwan Shin
           Institution: University of Minnesota
           Email: shinx424@umn.edu
	   ORCID:

	Name: Premkumar Leishangthem
           Institution:
           Email:
	   ORCID:

	Name: XinLiang Xu
           Institution:
           Email:
	   ORCID:

3. Date of data collection : 20180120 to 20211030 

4. Geographic location of data collection: University of Minnesota Twin cities

5. Information about funding sources that supported the collection of the data:
IPRIME program of University of Minnesota, and by the US National Science Foundation CBET-1702352 and 2028652

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SHARING/ACCESS INFORMATION
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Recommended citation for the data: 
Kamdar, Shashank; Shin, Seunghwan; Leishangthem, Premkumar; Francis, Lorraine F.; Xu, XinLiang; Cheng, Xiang. (2022). Data for "The colloidal nature of complex fluids enhances bacterial motility". Retrieved from the Data Repository for the University of Minnesota, https://hdl.handle.net/11299/226078.

1. Licenses/restrictions placed on the data: None


2. Links to publications that cite or use the data: 
Kamdar, S., Shin, S., Leishangthem, P., Francis, L. F., Xu, X., & Cheng, X. (2022). The colloidal nature of complex fluids enhances bacterial motility. Nature, 603(7903), 819-823.
https://doi.org/10.1038/s41586-022-04509-3

3. Links to other publicly accessible locations of the data:


4. Links/relationships to ancillary data sets:


5. Was data derived from another source?
           If yes, list source(s): No

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DATA & FILE OVERVIEW
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1. File List
   A. Filename: addtheta_sh.m       
      Short description: Matlab code for Code for body orientation angle       


        
   B. Filename: Data_frames.m       
      Short description: Matlab Code for speed measurement       


        
   C. Filename:  elliptrack_sh.m      
      Short description: Matlab Code to identify ellipsoidal features in dark images


   D. Filename: wobbling_sh.m      
      Short description: Matlab code for wobble angle   


        
   E. Filename: Figure 1.xls      
      Short description: Excel file containing raw data for Figure 1 of linked manuscript

        
   F. Filename:  Figure 2.xls    
      Short description: Excel file containing raw data for Figure 2 of linked manuscript

        
   G. Filename: Figure 3.xls     
      Short description: Excel file containing raw data for Figure 3 of linked manuscript

        
   H. Filename: Figure 4.xls  
      Short description: Excel file containing raw data for Figure 4 of linked manuscript



2. Relationship between files: None.      


3. Additional related data collected that was not included in the current data package: None

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METHODOLOGICAL INFORMATION
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1. Description of methods used for collection/generation of data: 
Tracking of bacterial cells were done by feature identification and speed codes attached here in repository.


2. Methods for processing the data: Image proceesing codes used attached in the repository were used to obtain data.


3. Instrument- or software-specific information needed to interpret the data: Data processed on MATLAB


4. Standards and calibration information, if appropriate:None required


5. Environmental/experimental conditions: Confocal microscopy at room temperature (22C)


6. Describe any quality-assurance procedures performed on the data:


7. People involved with sample collection, processing, analysis and/or submission: Shashank Kamdar, Seunghwan Shin, Lorraine F. Francis, Xinliang Xu, and Xiang Cheng