Access openESM experience sampling datasets
Project description
openESM Python Package
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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