This DATSETNAMEreadme.txt file was generated on YYYY-MM-DD by NAME
[help text is included in brackets, and can be deleted before saving]


GENERAL INFORMATION

1. Title of Dataset

2. Author Information
	A. Principal Investigator Contact Information
		Name
		Institution
		Address
		Email

	B. Associate or Co-investigator Contact Information
		Name
		Institution
		Address
		Email

	C. Alternate Contact Information 
		Name
		Institution
		Address
		Email

3. Date of data collection (single date, range, approximate date) [suggested format YYYY-MM-DD]

4. Geographic location of data collection [latitude, longiute, or city/region, State, Country, as appropriate] 

5. Information about funding sources that supported the collection of the data


SHARING/ACCESS INFORMATION

1. Licenses/restrictions placed on the data 

2. Links to publications that cite or use the data

3. Links to other publicly accessible locations of the data

4. Links/relationships to ancillary data sets

5. Was data derived from another source? yes/no
	A. If yes, list source(s)

6. Recommended citation for this dataset


DATA & FILE OVERVIEW

1. File List
[list all files (or folders, as appropriate for dataset organization) contained in the dataset, with a brief description] 2. Relationship between files, if important 3. Additional related data collected that was not included in the current data package 4. Are there multiple versions of the dataset? yes/no A. If yes, name of file(s) 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 <[escribe how the submitted data were generated from the raw or collected data] 3. Instrument- or software-specific information needed to interpret the data [include full name and version of software, and any necessary packages or libraries needed to run scripts] 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 [Filename] [repeat this section for each dataset, folder or file, as appropriate] 1. Number of variables 2. Number of cases/rows 3. Variable List [list variable name(s), description(s), unit(s)and value labels as appropriate for each] 4. Missing data codes [list code/symbol and definition] 5. Specialized formats or other abbreviations used


CREDITS

Based on a template by Cornell University Research Data Management Service Group: https://data.research.cornell.edu/content/readme