This codebook.txt file was generated on <20181009> by <Paul J. Dauenhauer>


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GENERAL INFORMATION
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1. Title of Dataset:  Data for Process Design and Economic Analysis of Renewable Isoprene from Biomass via Mesaconic Acid


2. Author Information


  Principal Investigator Contact Information
        Name:  Paul Dauenhauer
           Institution:  University of Minnesota
           Address:  421 Washington Ave. SE, Minneapolis, MN 55455
           Email:  hauer@umn.edu

3. Date of data collection (range) <20180201 to 20181001>


4. Geographic location of data collection (where was data collected?): Minneapolis, MN


5. Information about funding sources that supported the collection of the data:  Center for Sustainable Polymers, an NSF Center for Chemical Innovation (CHE-1413862).  Additional funding was provided by the Minnesota Corn Growers Association.




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SHARING/ACCESS INFORMATION
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1. Licenses/restrictions placed on the data:  None


2. Links to publications that cite or use the data:  Data was used in a manuscript to be submitted to the journal, "ACS Sustainable Chemistry & Engineering"


3. Links to other publicly accessible locations of the data:  None


4. Links/relationships to ancillary data sets:  None


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


6. Recommended citation for the data:




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DATA & FILE OVERVIEW
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1. File List
   A. Filename: DATAIsopreneProcessDesignDauenhauer.xls       
      Short description: File contains the data associated with chemical process design and economics for each figure in the manuscript.       

        
2. Relationship between files: Only one file in this collection       




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




4. Are there multiple versions of the dataset? no
  

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METHODOLOGICAL INFORMATION
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1. Description of methods used for collection/generation of data: Data was generated using Microsoft Excel


2. Methods for processing the data: Data were generated using Microsoft Excel


3. Instrument- or software-specific information needed to interpret the data:  Microsoft Excel 2018


4. Standards and calibration information, if appropriate:  None


5. Environmental/experimental conditions:  None


6. Describe any quality-assurance procedures performed on the data:  Not applicable


7. People involved with sample collection, processing, analysis and/or submission:  Paul Dauenhauer, David Lundberg, Daniel Lundberg