CryoCloud JupyterHub and Slack usage for Scheick et al. (submitted)

Data and code to reproduce Figure 2 in Scheick et al. *“Ten simple rules to increase the usability of Earth observation mission datasets.”

📌 Overview

This repository contains the datasets and code used to generate Figure 2 in the manuscript referenced above. The main analysis is provided in a Jupyter Notebook along with accompanying figures and data exports.

📂 Repository Contents

Path	Description
usage_is2paper.ipynb	Main Jupyter Notebook with code to produce the figure
figure/	Output of Figure 2
activity_monthly_20250301_20251231.csv	JupyterHub monthly user data
slack_overview_analytics_20250301_20251231.csv	Slack monthly user data
LICENSE	MIT license for reuse and distribution

🚀 Getting Started

🔧 Environment Setup

This repository uses a Conda environment defined in environment.yml, which includes all required dependencies to run the notebook, including Jupyter, MyST, and interactive matplotlib support.

Create the environment

From the root of the repository, run:

conda env create -f environment.yml

Activate the environment

conda activate is2_hackweek_manuscript

Launch Jupyter:

jupyter lab

You can now open and run usage_is2paper.ipynb.

🛠️ Output

The notebook generates Figure 2.
Users are welcome to modify or extend the analysis for their own applications.

📄 Citation

If you use this repository or any of the code within it, please cite the associated manuscript:

Scheick et al., “Ten simple rules to increase the usability of Earth observation mission datasets.”

📜 License

This project is released under the MIT License.
See the LICENSE file for details.