Create new Cookie Cutter data science project

[MagicMilly]

Following this guide, create a new repo for data publication using Cookie Cutter.

Overall Goals for New Repo

• to keep code, data, and other materials in one place so that it's easy for collaborators and others to find
• have project directory, folders, and files ready for data publication

Action Steps to Complete this Ticket

• [x] create new repo as Cookie Cutter Data Science project
• [x] add notebooks for data cleaning code
• [x] include David's script for pulling data
• [x] ensure all derived datasets are updated and commit (larger data like raw datasets pulled from betydb can link to a CyVerse download or Google Drive)
• [ ] write README to include metadata, description of project, explanation of folder structure
• [x] for more detailed metadata (i.e. methods), direct users to relevant markdown file or link to protocols.io
• [x] share with collaborators for review

[MagicMilly]

new for-data-publication repo

[MagicMilly]

• Have added mac seasons 4 and 6 and clemson data cleaning notebooks

• Have added all derived datasets for mac seasons 4 and 6 and clemson

• Included automatic download links to raw data on CyVerse for mac seasons 4 and 6 and clemson in README

• Need to update and add Kansas data (link to raw data, cleaning notebook, and derived datasets) once SSL certificate problems are resolved

[MagicMilly]

• Added KSU cleaning notebook
• Added derived KSU datasets to GitHub and Google drive
• Added links to raw data on CyVerse
  • Ashland Bottoms Weather Data for 2016
  • KSU Season 6 trait data

[MagicMilly]

The remaining task needed to complete this ticket is to finish describing changes made to the raw data to create the processed data products, which is addressed in new ticket #84