This README.txt file was generated on 20230828 by Justin Salva


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GENERAL INFORMATION
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1. Title of Dataset:

Appendix 2. Database of EICAT impact assessment summaries for 104 invasive plants likely to shift into the Mid-Atlantic United States with climate change


2. Author Information

  First Author Contact Information
        Name: Justin Salva
           Institution: Purdue University
           Address: 
           Email: jsalva@purdue.edu


  Corresponding Author Contact Information
        Name: Bethany Bradley
           Institution: University of Massachusetts, Amherst
           Address: 160 Holdsworth Way, Amherst MA 01003
           Email: bbradley@eco.umass.edu



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DATA & FILE OVERVIEW
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Directory of Files
   A. Filename: Appendix 2.zip     
      Short description: Summary reports of Environmental Impact Classification of Alien Taxa (EICAT)
assessments for104 invasive plants projected to shift into the Mid-Atlantic United States with climate
change. Files are named based on the evaluated Genus species.

Data files are associated with the publication:
W. Coville, B.J. Griffin, and B.A. Bradley "Identifying high-impact invasive plants likely to shift into northern New England with climate change", In Press in Invasive Plant Science & Management
J. Salva and B.A. Bradley “High-impact invasive plants expanding into Mid-Atlantic states - Identifying priority range-shifting species for monitoring in light of climate change”, in review in Invasive Plant Science & Management
  
   

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DATA DESCRIPTION FOR: Appendix 2.zip
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1. Number of variables: N/A


2. Number of cases/rows: Depends on the species - please refer to metadata embedded in excel files


3. Missing data codes:
        Not Available        Data not available


4. Variable List

	See metadata in the 'Summary sheet metadata' and 'Data sheet metadata' tabs for a full description of the data columns.



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METHODOLOGICAL INFORMATION
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1. Software-specific information:

Name: Excel
Version: Microsoft Office Professional Plus 2016



2. Equipment-specific information:
	Not Applicable


3. Date of data collection (single date, range, approximate date): 2022-2023