This README.txt file was generated on <YYYYMMDD> by <Name>

#
# General instructions for completing README: 
# For sections that are non-applicable, mark as N/A (do not delete any sections). 
# Please leave all commented sections in README (do not delete any text). 
#

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

1. Title of Dataset:

#
# Authors: Include contact information for at least the 
# first author and corresponding author (if not the same), 
# specifically email address, phone number (optional, but preferred), and institution. 
# Contact information for all authors is preferred.
#

2. Author Information
<create a new entry for each additional author>

First Author Contact Information
    Name:
    Institution:
    Address:
    Email:
	Phone Number: 


Corresponding Author Contact Information
    Name:
    Institution:
    Address:
    Email:
	Phone Number: 

Author Contact Information (if applicable)
    Name:
    Institution:
    Address:
    Email:
	Phone Number: 

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

#
# Directory of Files in Dataset: List and define the different 
# files included in the dataset. This serves as its table of 
# contents. 
#

Directory of Files:
   A. Filename:        
      Short description:        


        
   B. Filename:        
      Short description:        


        
   C. Filename:        
      Short description:


Additional Notes on File Relationships, Context, or Content 
(for example, if a user wants to reuse and/or cite your data, 
what information would you want them to know?):              


#
# File Naming Convention: Define your File Naming Convention 
# (FNC), the framework used for naming your files systematically 
# to describe what they contain, which could be combined with the
# Directory of Files. 
#

File Naming Convention:


#
# Data Description: A data description, dictionary, or codebook
# defines the variables and abbreviations used in a dataset. This
# information can be included in the README file, in a separate 
# file, or as part of the data file. If it is in a separate file
# or in the data file, explain where this information is located
# and ensure that it is accessible without specialized software.
# (We recommend using plain text files or tabular plain text CSV
# files exported from spreadsheet software.) 
#

-----------------------------------------
DATA DESCRIPTION FOR: [FILENAME]
-----------------------------------------
<create sections for each dataset included>


1. Number of variables:


2. Number of cases/rows: 


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


4. Variable List

#
# Example. Name: Wall Type 
#     Description: The type of materials present in the wall type for housing surveys collected in the project.
#         1 = Brick
#         2 = Concrete blocks
#	  3 = Clay
#         4 = Steel panels


    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

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

#
# Software: If specialized software(s) generated your data or
# are necessary to interpret it, please provide for each (if
# applicable): software name, version, system requirements,
# and developer. 
#If you developed the software, please provide (if applicable): 
#A copy of the software’s binary executable compatible with the system requirements described above. 
#A source snapshot or distribution if the source code is not stored in a publicly available online repository.
#All software source components, including pointers to source(s) for third-party components (if any)

1. Software-specific information:
<create a new entry for each qualifying software program>

Name:
Version:
System Requirements:
Open Source? (Y/N): 

(if available and applicable)
Executable URL:
Source Repository URL:
Developer:
Product URL:
Software source components:


Additional Notes(such as, will this software not run on 
certain operating systems?):


#
# Equipment: If specialized equipment generated your data,
# please provide for each (if applicable): equipment name,
# manufacturer, model, and calibration information. Be sure
# to include specialized file format information in the data
# dictionary.
#

2. Equipment-specific information:
<create a new entry for each qualifying piece of equipment>

Manufacturer:
Model:

(if applicable)
Embedded Software / Firmware Name:
Embedded Software / Firmware Version:
Additional Notes:

#
# Dates of Data Collection: List the dates and/or times of
# data collection.
#

3. Date of data collection (single date, range, approximate date) <suggested format YYYYMMDD>: