Searching the RRID Resource Information Network

Our searching services are busy right now. Please try again later

  • Register
X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X

Leaving Community

Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.

No
Yes

SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.

Search

Type in a keyword to search

On page 6 showing 101 ~ 109 out of 109 results
Snippet view Table view Download 109 Result(s)
Click the to add this resource to a Collection

https://github.com/protofilamentdude/Protofilament-Bending-Models

Code is written to be run with Matlab version r2020b or higher. Model accepts wave assay pulse amplitude data, and simultaneously solves and fits protofilament deflection models to deduce fundamental biophysical properties of microtubule protofilaments.

Proper citation: Protofilament Bending Models (RRID:SCR_023062) Copy   


https://github.com/GuyButcher/alpha-helix-coordinate-frame-simulation

Source code for alpha-helix simulation framework written in Matlab. Specifically tested on Talin-1 Rod Domain.

Proper citation: alpha helix coordinate frame simulation (RRID:SCR_019320) Copy   


  • RRID:SCR_014427

    This resource has 1+ mentions.

https://github.com/missy139/PreSurgMapp

A MATLAB toolbox for processing the functional areas of the brain using multi-modal fMRI data for pre-surgical mapping. It is composed of three types of individual-level ICA analyses for user use. Traditional ICA (task) can be used for task fMRI. Either Traditional ICA (rest) or ICA with DICI (rest) can be used for rs-fMRI. Traditional ICA (rest) is designed for users who already have a hypothesis of the pattern of the target component and want to have manually set components by themselves. ICA with DICI (rest) is completely automatic, given that the user provides a template (provided). The software utilizes an automatic component identification method that is based on the discriminatory-index. All the components from multiple ICA runs with multiple component settings are ranked and compiled.

Proper citation: PreSurgMapp (RRID:SCR_014427) Copy   


  • RRID:SCR_015857

    This resource has 10+ mentions.

https://neurophysics.ucsd.edu/software.php

Matlab-based routines for the detection and clustering of putative single units from a multi-unit time series, along with quality metrics. This sofwtare was developed by the David Kleinfeld Laboratory at UC San Diego.

Proper citation: UltraMegaSort 2000 (RRID:SCR_015857) Copy   


http://users.sussex.ac.uk/~lionelb/MVGC/

Matlab software toolkit designed to facilitate Granger-causal analysis with multivariate and possibly multi-trial time series data. Annotated demonstration scripts are available which may be used as templates to assist in this the toolbox's functions.

Proper citation: MVGC Multivariate Granger Causality Matlab Toolbox (RRID:SCR_015755) Copy   


  • RRID:SCR_016334

    This resource has 1+ mentions.

http://download.ant-neuro.com/matlab/

Software as an EEGLAB tool used for LIBEEP recordings.

Proper citation: Libeep EEGLAB plugin (RRID:SCR_016334) Copy   


http://cns.hkbu.edu.hk/RIDE.htm

Software Matlab based toolbox for temporal decomposition of EEG signal. Used for decomposition, reconstruction, and single trial analysis of event related potentials.

Proper citation: Residue Iteration Decomposition (RRID:SCR_022174) Copy   


https://github.com/MMTI/Toolkit_for_MIRA_LAB_Striatal_Segmentation

Software MATLAB pipeline that produces CNN-based segmentations of striatal regions of brain based on structural T1w image.

Proper citation: Toolkit for MIRA LAB Striatal Segmentation (RRID:SCR_023073) Copy   


https://github.com/KatrinSkerl/EvaluateMuscleTissueWithElastography/tree/main

Software tool that enables the automatic evaluation of muscle tissue on elastography imaging using MATLAB.

Proper citation: EvaluateMuscleTissueWithElastography (RRID:SCR_026737) Copy   



Can't find your Tool?

We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.

Can't find the RRID you're searching for? X
  1. NIDDK Information Network Resources

    Welcome to the dkNET Resources search. From here you can search through a compilation of resources used by dkNET and see how data is organized within our community.

  2. Navigation

    You are currently on the Community Resources tab looking through categories and sources that dkNET has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.

  3. Logging in and Registering

    If you have an account on dkNET then you can log in from here to get additional features in dkNET such as Collections, Saved Searches, and managing Resources.

  4. Searching

    Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:

    1. Use quotes around phrases you want to match exactly
    2. You can manually AND and OR terms to change how we search between words
    3. You can add "-" to terms to make sure no results return with that term in them (ex. Cerebellum -CA1)
    4. You can add "+" to terms to require they be in the data
    5. Using autocomplete specifies which branch of our semantics you with to search and can help refine your search
  5. Save Your Search

    You can save any searches you perform for quick access to later from here.

  6. Query Expansion

    We recognized your search term and included synonyms and inferred terms along side your term to help get the data you are looking for.

  7. Collections

    If you are logged into dkNET you can add data records to your collections to create custom spreadsheets across multiple sources of data.

  8. Sources

    Here are the sources that were queried against in your search that you can investigate further.

  9. Categories

    Here are the categories present within dkNET that you can filter your data on

  10. Subcategories

    Here are the subcategories present within this category that you can filter your data on

  11. Further Questions

    If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.

X