Data Collection: Not applicable; computational study
Primary Conclusion: SPARClet allows researchers much greater and extensible interactivity with SPARC flatmaps in an easy-to-use manner. These additional functionalities could help a researcher augment the research process and help in developing a deeper understanding of their field of study.
Experimental Design: This project was developed during the 2022 SPARC FAIR Codeathon. Researchers created Sparclet, a pypi application that allows flatmaps to be viewed in Jupyter Notebook and be interacted in novel ways using the ipyleaflet library to help facilitate an individualized research process.
Completeness: This dataset is complete.
Subjects & Samples: This is a computational dataset; thus no subjects are described.
Primary vs derivative data: Not applicable. This is a computational study. Only a configuration file to view and run the simulation on the oSPARC platform is provided.
Code Availability: Source code available from https://github.com/SPARC-FAIR-Codeathon/SPARClet/
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