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Access openESM experience sampling datasets

Project description

openESM Python Package

CI codecov Python versions License: MIT

Python interface for accessing openly available Experience Sampling Method (ESM) datasets

This package provides a Python equivalent to the openESM R package, allowing researchers to programmatically access and download ESM datasets from the openESM repository. All datasets are hosted on Zenodo with proper DOIs for citation.

Features

  • Simple API - Download datasets with a single function call
  • Automatic Caching - Datasets cached locally to avoid re-downloads
  • Citation Helper - Built-in methods for proper dataset citation

Installation

pip install openesm

Quick Start

import openesm

# List available datasets
datasets = openesm.list_datasets()
print(datasets)

# Download a specific dataset
dataset = openesm.get_dataset("0001")
print(dataset.data)  # Access the polars DataFrame
print(dataset.cite())  # Get citation information

# Download multiple datasets
datasets = openesm.get_dataset(["0001", "0002"])

Contributing

Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.

License

This project is licensed under the MIT License - see the LICENSE file for details.

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