This Github repository contains raw data and code to explore open-source neurophysiology data analysis tools within an included Jupyter notebook. Software dependencies are listed within each data supplement folder, and can be downloaded with Docker via the associated Github repository described in the related data catalog record: Software: Docker image with JupyterLab, Python 3, Python 2, and R. The...
This Github repository contains Python code to convert electrophysiology data files to Numpy arrays and save them to HDF5. The package contains example Spike2 data, a Jupyter notebook, and Python code to be executed within the notebook.
A Docker image with Jupyter Lab, Jupyter Notebook, Python 3, Python 2, R, and many R and Python packages for scientific computing. Docker is a container-based software system that allows easy download and installation of multiple software packages. The software included in this Docker image has wide relevance to various domains within scientific computing but are optimized for neurophysiological research,...
Data and code are provided for an fMRI study examining brain function among adolescents and young adults during an anti-saccade (deliberately looking away from a target) task. The data package on OpenNeuro includes sex and age information for 28 participants, eye movement data, defaced resting-state anatomy scans, defaced imaging data collected for the task, a README, and a JSON file containing metadata...
This MATLAB script finds mean and median fiber (muscle fascicle) length of a given muscle obj file generated from DTI (diffusion tensor magnetic resonance imaging) fiber tractography. In the study which produced this code, the authors used DTI to obtain individualized muscle architecture data in vivo for 10 young, healthy adult adult volunteers. Full data processing methods, including pre-processing,...
The MIDAS Online Portal for COVID-19 Modeling Research is a clearinghouse for sharing datasets, published estimates on epidemiological characteristics (both peer-reviewed and non-), and software for dashboard monitoring, data processing, modeling, and visualization related to the 2019 novel coronavirus pandemic (formerly referred to as 2019-nCoV acute respiratory disease). Information in the portal...
This Github repository contains a bioinformatics pipeline for identification and characterization of mutations in Saccharomyces cerevisiae. MutantHuntWGS compares data, input in FASTQ format, from a mutant strain to a wild-type strain to identify high confidence sequence variants present only in the mutant. To enable quick and easy installation and to ensure reproducibility, MutantHuntWGS was...