This README.txt file was generated on YYYY-MM-DD by NAME <help text is included in angle brackets, and can be deleted before saving>

GENERAL INFORMATION

1. Title of the Project:

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 or obtaining (single date, range, approximate date) <suggested format YYYY-MM-DD. If multiple data files, list it accordingly>:

4. Geographic location of data collection: <latitude, longitude, or city/region, State, Country, as appropriate. Again, if multiple data sources, specify accordingly>:

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: <any supplementary data sources that support analysis or classification of the datasets, eg., plant taxonomy table.)>

5. Was data derived from another source? If yes, list source(s): <list citations to original sources>

6. Recommended citation for the project:

DATA & FILE OVERVIEW

1. File List: <list all files (or folders, as appropriate for dataset organization) contained in the dataset, with a brief description of their content>

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? <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: <describe 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 FOR:

[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: