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 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, longitute, 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: <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>n 5. Specialized formats or other abbreviations used: