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
X
Forgot Password

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

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 9 showing 161 ~ 180 out of 346 results
Snippet view Table view Download 346 Result(s)
Click the to add this resource to a Collection
  • RRID:SCR_022508

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

Project related to tracking behavior. Used to identify subgroups of individuals that differentially attribute incentive value to food cue. Includes apparatus for studying Pavlovian conditioned approach behavior. Customized rat PavCA chambers are constructed based on modular devices purchased from Med-Associates. Code used to operate equipment and collect data was written using Med-Associates’ MEDSTATE programming language. This program is then loaded into Med-PC V operating program, also created by Med-Associates.

Proper citation: PavCA project (RRID:SCR_022508) Copy   


https://github.com/LINCellularNeuroscience/VAME

Software Python tool to cluster behavioral signals obtained from pose estimation tools. Unsupervised probabilistic deep learning framework capable of finding behavioral motifs in pose estimation data. Capable of augmenting quantitative behavioral analyses of data derived from standard pose-estimation software packages. Written based on core functions from DeepLabCut, and readily works with pose data from that package. Can also work with data from other pose estimation packages such as SLEAP.

Proper citation: Variational Embedding of Animal Motion (RRID:SCR_022477) Copy   


  • RRID:SCR_022463

https://github.com/earnestt1234/SipperViz

Software Python GUI for graphing measures of liquid ingestion in rodents from Sippers. Python GUI for visualizing Sipper data.

Proper citation: SipperViz (RRID:SCR_022463) Copy   


  • RRID:SCR_023061

    This resource has 1+ mentions.

https://github.com/spoonsso/dannce

Convolutional neural network that calculates 3D positions of user-defined anatomical landmarks on behaving animals from videos taken at multiple angles. Works on recorded video data from multiple cameras. Used for 3D markerless pose estimation and tracking.

Proper citation: DANNCE (RRID:SCR_023061) Copy   


https://edspace.american.edu/openbehavior/project/3d-printed-superfusion-chamber/

Project consists of suite of 3D-printed tools including superfusion chamber with independent brain presser and animal stand. Modular device that facilitates transfer of pharmacological agents and brain access for electrodes and/or lenses for imaging. Provides stable conditions for electrophysiological and neuroimaging recordings. Device can be print either in-house or through 3d-printing service.

Proper citation: 3D Printed Superfusion Chamber (RRID:SCR_022901) Copy   


  • RRID:SCR_021613

https://github.com/mtu-most/linear-actuator

Code and model files for open source linear actuator. Part of Pearce Lab Syringe Pump system.

Proper citation: linear actuator (RRID:SCR_021613) Copy   


https://github.com/KravitzLab/ROBucket

Software tool as ROBucket source code.

Proper citation: Rodent Operant Bucket (RRID:SCR_021610) Copy   


  • RRID:SCR_021616

https://github.com/jf-lab/chendoscope

Software tool as part of CHEndoscope. Acquisition software that interfaces with CHEndoscope Ximea USB camera. This code is compatible with Linux and Windows systems.

Proper citation: chendoscope (RRID:SCR_021616) Copy   


  • RRID:SCR_021617

https://github.com/jamieboyd/AutoHeadFix

Software Python code for automated control of behavioural apparatus and imaging for mice in home cage environment.Part of Homecage Task Training and Mesoscale Imaging system.

Proper citation: AutoHeadFix (RRID:SCR_021617) Copy   


  • RRID:SCR_021609

https://github.com/bsbrl/craniobot

Software tool as part of Craniobot system.Generates, sends, and receives commands to communicate with the Craniobot.

Proper citation: craniobot (RRID:SCR_021609) Copy   


https://murphylab.med.ubc.ca/automated-homecages/

Software tool as part of Automated Home Cage Functional Imaging system.

Proper citation: Automated Home-Cage Functional Imaging (RRID:SCR_021607) Copy   


  • RRID:SCR_021531

https://github.com/dublon/scintillate

Open source graphical viewer for time series calcium imaging evaluation and pre-processing.

Proper citation: Scintillate (RRID:SCR_021531) Copy   


  • RRID:SCR_021522

    This resource has 1+ mentions.

https://github.com/ribeiro-lab/flyPAD-fpga

FPGA code for running main board of flyPAD. Code written in VHDL using Quartus 2 web edition software.

Proper citation: flyPAD (RRID:SCR_021522) Copy   


  • RRID:SCR_022336

https://github.com/KaetzelLab

Operant Box code

Proper citation: pyOS-5 (RRID:SCR_022336) Copy   


  • RRID:SCR_024864

https://github.com/zelanolab/hfoapp

Software for detecting and identifying high frequency oscillations observed in EEG recordings. MATLAB based graphical user interface for High Frequency Oscillation marking.

Proper citation: HFOApp (RRID:SCR_024864) Copy   


  • RRID:SCR_025406

https://github.com/tne-lab/py-behav-box-v2

Open source software interface and framework for controlling behavioral experiments in neuroscience and psychology. Python-based framework for designing and controlling behavioral experiments in animals. Used to develop, perform, and control behavioral tasks.

Proper citation: PyBehave (RRID:SCR_025406) Copy   


  • RRID:SCR_023602

    This resource has 1+ mentions.

https://github.com/DeNardoLab/BehaviorDEPOT

Software tool for automated behavioral detection based on markerless pose tracking. Behavioral analysis tool to first compile and clean point-tracking output from DeepLabCut, and then classify behavioral epochs using custom behavior classifiers. Used to detect frame by frame behavior from video time series and can analyze results of common experimental assays, including fear conditioning, decision-making in T-maze, open field, elevated plus maze, and novel object exploration. Calculates kinematic and postural statistics from keypoint tracking data from pose estimation software outputs.

Proper citation: BehaviorDEPOT (RRID:SCR_023602) Copy   


  • RRID:SCR_023784

    This resource has 1+ mentions.

https://github.com/VioletteChiara/AnimalTA

Software video tracking tool for tracking and analysing animal movement in different environments.

Proper citation: AnimalTA (RRID:SCR_023784) Copy   


  • RRID:SCR_023919

https://github.com/Optophys-Lab/FreiBox/tree/main/Commutator_FreiBox2022

Affordable commutator that is equipped with novel sensing system that improves online tracking of cable rotations without impairing the 1-photon calcium imaging via Miniscope. Commutator to allow freely moving behaviors while recording neural activity from platforms such as Miniscope V4 and OpenEphys. Used to perform calcium imaging.

Proper citation: commutator (RRID:SCR_023919) Copy   


  • RRID:SCR_023918

https://github.com/Optophys-Lab/FreiBox

Versatile open source behavioral system for investigating neuronal correlates of behavioral flexibility via 1-Photon Imaging in freely moving mice. Behavioral testing platform consists of FreiBox, novel low-cost Arduino behavioral setup, controlled by custom Python interface and integrates new licking sensor (strain gauge lickometer) for controlling spatial licking behavioral tasks.

Proper citation: Freibox (RRID:SCR_023918) 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. Neuroscience Information Framework Resources

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