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 17 showing 321 ~ 340 out of 347 results
Snippet view Table view Download 347 Result(s)
Click the to add this resource to a Collection
  • RRID:SCR_023119

https://github.com/compsy/ACTman/

Software R library to automate labor intensive actigraphy data preprocessing and analyses steps while improving transparency, reproducibility, and scalability over software suites traditionally used in actigraphy research practice. Provides streamlined preprocessing while validating circadian rhythm and sleep analysis.

Proper citation: ACTman (RRID:SCR_023119) Copy   


  • RRID:SCR_023312

https://github.com/PeyracheLab/pynapple

Software object oriented, lightweight and standalone Python toolbox for neural data analysis. Its core features five versatile timeseries objects from Pandas library, allowing it the versatility to be used with most raw neuroscience data types and produce some common analysis forms.

Proper citation: Pynapple (RRID:SCR_023312) Copy   


https://github.com/ntorquet/lmt_toolkit_analysis

Open source web application created to analyze Live Mouse Tracker data easily and intuitively. Used to check reliability and to make some analysis of data from Live Mouse Tracker experiments. LMT stores data in SQLite files that requires some computer skills, but LMT-toolkit makes it easy to compute and extract behavioral profiles for each animal tested following step-by-step process.

Proper citation: Live Mouse Tracker Toolkit Analysis (RRID:SCR_024592) Copy   


  • RRID:SCR_017904

    This resource has 1+ mentions.

https://mousebytes.ca/home

Open access database for all cognitive data collected from touchscreen related tasks. Performs data comparison and interactive data visualization for any data uploaded onto the site. There are also guidelines and video tutorials available.

Proper citation: Mousebytes (RRID:SCR_017904) Copy   


https://edspace.american.edu/openbehavior/project/oat/

Project related to processing video, extracting object position information, and streaming data.Provides set of programs for processing video for behavioral research. Includes OAT software tool as real time position tracker which was developed by Massachusetts Institute of Technology scientists.

Proper citation: Online Animal Tracker project (RRID:SCR_021386) Copy   


  • RRID:SCR_021398

    This resource has 50+ mentions.

https://edspace.american.edu/openbehavior/project/deeplabcut/

Project for markerless pose estimation of user defined body parts with deep learning.

Proper citation: DeepLabCut Project (RRID:SCR_021398) Copy   


  • RRID:SCR_021400

https://edspace.american.edu/openbehavior/project/deepfly3d/

Project related to deep learning based pose estimator for studying how neural circuits control limbed behaviors in tethered Drosophila. Includes Deep Fly image annotation tool for pose estimation and to permit further correction of 2D pose estimates, which are automatically converted to 3D pose.

Proper citation: DeepFly3D project (RRID:SCR_021400) Copy   


  • RRID:SCR_023049

https://github.com/NeLy-EPFL/LiftPose3D

Software tool for transforming 2D poses to 3D coordinates on labaratory animals. Used for kinematic studies of laboratory animals. Tracking movements in three dimensions from behaving flies, mice, rats, and non-human primates.

Proper citation: LiftPose3D (RRID:SCR_023049) Copy   


https://github.com/borglandlab/RunningWheel/

Open source, printable, open faced running wheels for mice residing in home cage that is automated to collect locomotor information such as distance traveled, wheel direction, and velocity. Running wheel system available on GitHub contains code and information to create and run running wheels. System consists of 3D printed wheel, Raspberry Pi 0 W, and supporting components.

Proper citation: Open Face Homecage Running Wheel (RRID:SCR_023642) Copy   


  • RRID:SCR_023884

    This resource has 1+ mentions.

https://github.com/namboodirilab/B-CALM

Open source system for behavioral control based on Arduino Mega microcontroller and MATLAB based graphical interface and analysis code. Behavior controller optimized and customized for associative learning and memory tasks. Provided software should be able to control many different types of hardware for different task configurations.

Proper citation: B-CALM (RRID:SCR_023884) Copy   


  • RRID:SCR_023712

https://github.com/WinterLab-Berlin/LabNet

Open source software for parallel control over multiple behavioral systems.C++ optimized control layer software to give access to Raspberry Pi connected hardware. Suitable for time critical operations, and to be simple to expand. Used for general automation in experimental laboratories with its control PC located at some distance.

Proper citation: LabNet (RRID:SCR_023712) Copy   


  • RRID:SCR_023425

https://m3platform.weebly.com/

Software neuroscience laboratory environment for simultaneous neuronal imaging and behavioral monitoring. McGill-Mouse-Miniscope Touchscreen Behavior Platform. Standardized approach for high throughput imaging of neuronal dynamics during behavior.

Proper citation: M3 Platform (RRID:SCR_023425) Copy   


https://github.com/DepartmentofNeurophysiology/Matlab-Whisker-Tracker

Shared database of videos featuring juvenile and adult male rats and adult male mice exploring stationary objects.This dataset includes wide variety of experimental conditions including genetic, pharmacological, and sensory deprivation interventions to explore how active sensing behavior is modulated by different factors. Database of high speed videos of whisking behavior in freely moving rodents.Open source high speed infrared videography database to study principles of active sensing in freely navigating rodents.

Proper citation: Open Source Whisking Video Database (RRID:SCR_021407) Copy   


  • RRID:SCR_024910

    This resource has 10+ mentions.

https://github.com/Imbrosci/synaptic-vesicles-detection

Software tool as Python based synaptic vesicle classifier algorithm to identify neurotransmitter vesicles in electron microscopy images using Pytorch.

Proper citation: Synaptic Vesicles Detection (RRID:SCR_024910) Copy   


  • RRID:SCR_025010

https://github.com/munoztd0/Mouthpiecegusto

3D printed pacifier shaped mouthpiece for fMRI compatible gustometers to deliver up to eight liquids during fMRI task. Can be utilized to study flavor, taste reactivity, reward or punishment with food, conditioning, and neurodegenerative conditions such as Alzheimers and Parkinsons, since taste and smell senses diminish early into disease acquisition.

Proper citation: 3DP Gustometer (RRID:SCR_025010) Copy   


  • RRID:SCR_025161

https://github.com/gchelini87/SEB3R

Software tool to automate and standardize ethologically driven observation of freely moving mice. Identifies different postures of mice and associates them with emotions, offering detailed analysis of their movements frame by frame. Used for tracking mouse body language and studying emotional behaviors.

Proper citation: SEB3R (RRID:SCR_025161) Copy   


  • RRID:SCR_025248

https://github.com/mcmelo22/Licktech/tree/main

Lickometer system based on open-source hardware platform with user-friendly interface software, capable of simultaneously receiving data from eight automated cages with two drinking bottles each. Device to acquire high-quality and detailed data. Adaptable to new types of sensors or other neuroscience tools capable of measuring brain activity simultaneously to the behavior.

Proper citation: Lickometer Box (RRID:SCR_025248) Copy   


  • RRID:SCR_025381

https://github.com/LurLab-UCI/HERBs

Open source hardware and software solution for flexible implementation of complex behaviors in head-fixed mice. Low cost and requires little to no programming experience. Allows neural activity to be seen during testing, which will show relations between neuronal activity and behavior during tasks such as alternative forced choice, GoNoGo, and sensory stimulus presentation.

Proper citation: HERBs (RRID:SCR_025381) Copy   


  • RRID:SCR_025396

    This resource has 1+ mentions.

https://github.com/Aharoni-Lab/Ephys-Miniscope

Miniaturized calcium imaging microscope with integrated dense electrode technology for synchronous acquisition of neural activity across distant regions of the brain. Device based off open-sourced UCLA Miniscope to synchronously measure single cell activity at or near spike-time resolution across distant brain regions in freely behaving mice. Used to perform calcium imaging, with dense electrode electrophysiological recording, allowing simultaneous recordings from two remote brain regions in freely behaving mouse.

Proper citation: E-Scope (RRID:SCR_025396) Copy   


  • RRID:SCR_025330

https://github.com/jfrie/FARESHARE

Open source device for fluid tracking in socially housed rats. Device uses RFID and custom hardware to individually measure and record each rat's fluid consumption and licking microstructure.

Proper citation: FARESHARE (RRID:SCR_025330) 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. RRID Portal Resources

    Welcome to the RRID Resources search. From here you can search through a compilation of resources used by RRID 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 RRID 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 RRID then you can log in from here to get additional features in RRID 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 RRID 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 RRID 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