ohw25_proj_ArBu

Folder Structure

• contributor_folders Each contributor can make a folder here and push their work here during the week. This will allow everyone to see each others work but prevent any merge conflicts. It is good if participants are new to collaborative coding.
• final_notebooks When the team develops shared final notebooks, they can be shared here. Make sure to communicate so that you limit merge conflicts.
• scripts Shared scripts or functions can be added here - for now we will keep our scripts in our collaborator folders
• data All of our data are in the shared-public drive under /shared-public/OHW25/ohw25_proj_ArBu/

You can start with a simple structure and as you progress you can refine it to contain more components. Here is an example of a more elaborate structure for a data science project.

Project Name

Argo + Buoys + Hurricanes

One-line Description

2025 Ocean Hackweek project analyzing Argo float and buoy data to visualize biogeochemical signals during hurricanes.

Current Tasks (update as we go)

Stevie: DeMarcus: Hafeez: * Joohyeun:

Planning

Workflow: each collaborator has their own folder & branch

1. every 8 hours, run gh-scoped-creds in terminal to have access to OHW Git (follow instructions in terminal from there)
2. download and access float and buoy data from /shared-public/OHW25/ohw25_proj_ArBu/ (everyone has permission to read and write from the shared-public folder)
3. commit code updates from /ohw25_proj_ArBu/contributor_folders/

Collaborators

Name	Role
Stevie Walker	Participant
DeMarcus Robinson	Participant
Joohyeun Kim	Participant
Hafeez Oladejo	Coding Mentor

Planning

• Initial idea: "short description"
• Ideation Presentation: https://docs.google.com/presentation/d/14JyNPC2JicP1IkHbWcDI0xt0FRbDmtdW4NTQo8wN80M/edit?usp=sharing
• Slack channel: ohw25_proj_ArBu
• Project google drive: Add link
• Final presentation: Add link when ready

Background

Argo map: https://fleetmonitoring.euro-argo.eu/dashboard?Status=Active

Goals

Gain skills: working with Argo toolboxes (R & python), analyzing new datasets, visualizing oceanographic datasets

Datasets

BGC-Argo Buoys - ndbc, cdip, cman

Workflow/Roadmap

Results/Findings

Lessons Learned

References