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SPARClet - Interactive flatmaps

Chloe Hoff
,
Archit Bhatnagar
,
Koustubh Sudarshan
,
Elisabetta Iavarone

A python library to generate and interact with flatmaps in a jupyter notebook using the ipyleaflet library

Updated on October 4, 2023 (Version 1)

Corresponding Contributor:

Elisabetta Iavarone
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Dataset Overview

Study Purpose: SPARC has created detailed maps of the PNS, stored as flatmaps. However, the current interactivity possible with these flatmaps is basic and non-extensible. We use here ipyleaflet, a popular javascript library for adding interactive features to geographical maps to display and integrate flatmaps in Jupyter notebooks, popular for their use in scientific data analysis and computing. To allow for easier use by other, we also built a new python library called SPARClet.

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.


Curator's Notes

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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Publishing history

October 4, 2023
Originally Published
October 4, 2023 (Version 1)
Last Updated

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