This DATSETNAMEreadme.txt file was generated on 20170608 by ConnyJumel

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

1. Title of Dataset AnalogVs NextGenerationDigitalFH_dataset.xlsx

2. Author Information

  Principal Investigator Contact Information
       	Malte Hinrichs
      	Institution:Photonic Networks and Systems
	Address: Fraunhofer Heinrich Hertz Institute
		 Berlin, Germany 
         Email: malte.hinrichs@hhi.fraunhofer.de

  Associate or Co-investigator Contact Information
        Name:
           Institution:
           Address:
           Email:

  Alternate Contact Information
           Name:Prof. Nathan Gomes
           Institution:University of Kent
           Address: School of Engineering and Digital Arts
           Email:n.j.gomes@kent.ac.uk

3. Date of data collection (single date, range, approximate date): 20170220

4. Geographic location of data collection (where was data collected?): Berlin

5. Information about funding sources that supported the collection of the data: EU Commission, Horizon2020

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

1. File List
   A. Filename:        
      Short description:        
      
   B. Filename:        
      Short description:        
        
   C. Filename:        
      Short description:

2. Relationship between files:        

3. Additional related data collected that was not included in the current data package:

4. Are there multiple versions of the dataset? yes/no
   If yes, list versions:
           Name of file that was updated:
                     i. Why was the file updated? 
                ii. When was the file updated?
           Name of file that was updated:
                      i. Why was the file updated?
                    ii. When was the file updated?

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

1. Description of methods used for collection/generation of data: 
<Include links or references to publications or other documentation containing experimental design or protocols used in data collection>

2. Methods for processing the data: <describe how the submitted data were generated from the raw or collected data>

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

4. Standards and calibration information, if appropriate:

5. Environmental/experimental conditions:

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

7. People involved with sample collection, processing, analysis and/or submission:

-----------------------------------------
DATA-SPECIFIC INFORMATION FOR: [FILENAME]
-----------------------------------------
<create sections for each dataset (or file if appropriate) included>

1. Number of variables:

2. Number of cases/rows: 

3. Variable List
    A. Name: [variable name]
       Description: [description of the variable]
                    Value labels if appropriate

    B. Name: [variable name]
       Description: [description of the variable]
                    Value labels if appropriate

4. Missing data codes:
        Code/symbol        Definition
        Code/symbol        Definition

5. Specialized formats of other abbreviations used