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: