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Results Found: 7
  • Internal Dataset

    Electrophysiology File Converters to HDF5

    Authors
    • Horn, Charles C.
    • Rosenberg, David M.
    Description

    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.

    Keywords
    • Electrophysiology
    • File conversion (Computer science)
    • Software
    Access Rights
    Free to all
  • Internal Dataset

    Neurophysiological analytics for all! Free open-source software tools for documenting, analyzing, visualizing, and sharing using electronic notebooks

    Authors
    • Rosenberg, David M.
    • Horn, Charles C.
    Description

    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...

    Keywords
    • Electronic Lab Notebooks
    • Electrophysiology
    • Neurophysiology
    • Software
    Access Rights
    Free to all
  • Internal Dataset

    Docker image with JupyterLab, Python 3, Python 2, and R

    Authors
    • Horn, Charles C.
    Description

    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,...

    Keywords
    • Electronic Lab Notebooks
    • Electrophysiology
    • Neurophysiology
    • Software
    Access Rights
    Free to all
  • Internal Dataset

    Data and code from: Immaturities in Reward Processing and Its Influence on Inhibitory Control in Adolescence

    Authors
    • Geier, Charles
    • Terwilliger, Robert
    • Teslovich Woo, Theresa
    • Velanova, Katerina
    • 1 more author(s)...
    Description

    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...

    Keywords
    • Cognitive Neuroscience
    • Decision Making
    • Eye Movement Measurements
    • Inhibition, Psychological
    • Magnetic Resonance Imaging
    • Neurology
    • Task Performance and Analysis
    Access Rights
    Free to all
  • Internal Dataset

    Code from: In vivo human lower limb muscle architecture dataset obtained using diffusion tensor imaging

    Authors
    • Charles, James P.
    • Suntaxi, Felipe
    • Gale, Tom
    • Anderst, William
    Description

    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,...

    Keywords
    • Diffusion Tensor Imaging
    • Magnetic Resonance Imaging
    • Muscle Fibers, Skeletal
    • Software
    Access Rights
    Free to all
  • Internal Dataset

    MIDAS Online Portal for COVID-19 Modeling Research

    Description

    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...

    Keywords
    • Communicable Diseases
    • Computer Simulation
    • Coronavirus Infections
    • COVID-19
    • Epidemiology
    • Models, Theoretical
    • Pandemics
    • Respiratory Tract Infections
    • severe acute respiratory syndrome coronavirus 2
    • Software
    • Virus Diseases
    Access Rights
    Free to all
  • Internal Dataset

    MutantHuntWGS

    Authors
    • Ellison, Mitchell A.
    • Walker, Jennifer L.
    • Ropp, Patrick J.
    • Durrant, Jacob D.
    • 1 more author(s)...
    Description

    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...

    Keywords
    • Saccharomyces cerevisiae
    • Sequence Alignment
    • Variant Calling
    • Whole Genome Sequencing
    Access Rights
    Free to all