QuiltedTutorials 2 - Re-Sampling data for computational simulations

Yuda Munarko
Omkar Athavale
Mathias Roesler
Niloofar Shahidi
Kenneth Tran
Elisabetta Iavarone

This tutorial is designed to guide the users on how to modify data points for other applications, such as simulations

Updated on October 4, 2023 (Version 1)

Corresponding Contributor:

Elisabetta Iavarone
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Dataset Overview

Study Purpose: The goal of this tutorial is to download some SPARC datasets and resample them so that they can be used for simulations.

Data Collection: 2D anatomical data of the rat stomach are downloaded from the SPARC Portal.

Primary Conclusion: The material in this tutorial can be used to generate a stochastic, data-driven neuronal network for simulation. Such simulations can be run and distributed in other sparc tools such as oSPARC.

Curator's Notes

Experimental Design: This project was developed during the 2022 SPARC FAIR Codeathon. More detailed information about the project is available here. In this project, we have created an online tutorial hub to guide users within and outside the SPARC community on how to combine tools within the SPARC ecosystem to create unified workflows. In this tutorial, the user will learn to use 2D spatial data and re-sampling it for computational simulations.

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.


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Publishing history

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

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