Example JupyterLab environment used to compile, run and display results of neural computational models, based on a SPARC dataset (https://doi.org/10.26275/iiwv-k07f)
Study purpose: # SPARC Sample Report Study. This is an example study that contains a single JupyterLab instance with neuron-modeling components preinstalled. Code and models from a SPARC dataset (see Notes) are already copied in the service in the Pelot_code directory. Each subdirectory also contains a README.md explaining the contents of the subdirectory and how to run the code inside (if applicable). An example report generated from the outcomes of the models are located in the "Report_example" directory.
Data collection: Example Data Exploration of a SPARC Dataset using JupyterLab on o²S²PARC This dataset uses the code submitted by Pelot et al. in https://doi.org/10.26275/iiwv-k07f The study consists of a JupyterLab instance in which users may compile NEURON mechanism files, run Python and M-file simulations, and shows an example of a report that can be generated from the simulation results.
Experimental Design: This is a computational study.
Subjects & Samples: Not applicable. This is a computational study.
Primary vs derivative data: Not applicable. This is a computational study, no primary data was collected.
Code Availability: The code included in this example are derived from three sources:
Last modified by Katie Zhuang 03.03.2021
Primary code release is on ModelDB: https://senselab.med.yale.edu/ModelDB/showmodel.cshtml?model=266498#tabs-1
Important notes: The data contained in the paper is available on the SPARC Portal: https://sparc.science/datasets/86?type=dataset
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