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 21 showing 401 ~ 420 out of 786 results
Snippet view Table view Download 786 Result(s)
Click the to add this resource to a Collection
  • RRID:SCR_002460

http://www.pstnet.com/hardware.cfm?ID=92

MRI Simulator that provides a realistic approximation of an actual MRI scanner to allow habituation and training of participants in an environment less daunting than a real scanner. Special populations such as children, the elderly, and psychiatric patients, are often prone to claustrophobia and anxiety in the bore of a magnet, and consequently have a much higher rate of terminating the experiment or scan session before its completion. Some centers that have dealt with these populations estimate a 50%-80% failure rate. With the use of the MRI Simulator this failure rate can often be reduced below 5%, improving cost effectiveness.

Proper citation: PST MRI Simulator (RRID:SCR_002460) Copy   


  • RRID:SCR_002457

    This resource has 50+ mentions.

http://www.brain.org.au/software/

A collection of tools that generate numerical fiber structures with the complexity of human white matter and simulate Diffusion-Weighted MR images that would arise from them. Its primary use is to enable the testing of tracking algorithms

Proper citation: Numerical Fibre Generator (RRID:SCR_002457) Copy   


http://www.pstnet.com/hardware.cfm?ID=90

MRI Digital Projection System that uses Digital Light Processing (DLP) technology providing microsecond pixel rise times, outstanding contrast with all-digital fiber optic control that allows you to project crystal clear, sharp images. Includes: * High resolution (1024x768) DLP Projector with RF filtered enclosure, custom lens assembly, digital video (DVI) over fiber, high flow fans, internal thermal sensor * Control room device to perform DVI to Fiber conversion, remotely power down the projector, and allow use of projector remote control from control room * 30 meter fiber optic cable that runs between the projector and projector control station * Heavy duty, magnet compatible, projector stand (assembly required) * Heavy duty, magnet compatible mirror stand with mirror (assembly required) * High resolution, lenticular pitch rear projection screen for high quality image reproduction * Optional VGA to DVI converter (native DVI video cards on Windows or Macintosh recommended)

Proper citation: MRI Digital Projection System (RRID:SCR_002486) Copy   


  • RRID:SCR_000857

http://www.nitrc.org/projects/gestr/

A cross platform, open source gesture tracking program. You launch it from the web, and use it to streamline the way you communicate with the computer. It allows for a more natural method of issuing commands than with keyboard shortcuts or GUI buttons. GesTr supports simple XML files to customize recognized gestures and their corresponding actions. GesTr also has experimental support for the Wii Remote used with an infrared pen as an alternative input device.

Proper citation: GesTr (RRID:SCR_000857) Copy   


  • RRID:SCR_000856

http://www.nitrc.org/projects/dft/

A loose collection of programs and configuration options that intend to make working with data more transparent to formats. Currently available is a basic specification for NIfTI-1 for the UNIX file command and proof of concept code for the concept of treating data as an abstract concept and instantiating physical instances on demand.

Proper citation: Data Format Tools (RRID:SCR_000856) Copy   


  • RRID:SCR_005979

    This resource has 10+ mentions.

http://mousetracker.jbfreeman.net

A free, user-friendly software package that allows researchers to record and analyze hand movements traveling toward potential responses on the screen (via the x, y coordinates of the computer mouse). By looking at the dynamics of how participants' hand movements settle into a response alternative--and how they may be partially pulled toward other alternatives--researchers glean valuable information about real-time cognitive processing. It's like opening up a single reaction time into a continuous stream of rich cognitive output. MouseTracker has impressive temporal resolution, comparable to eye-tracking and event-related brain potential (ERP) measures. Experiments can incorporate images, letter strings, sounds, and videos. Once recorded, mouse trajectories can be visualized, averaged, and explored, and measures of attraction/curvature, complexity, velocity, and acceleration can be computed. Precise characterizations of mouse trajectories' temporal and spatial dynamics are available, and these can shed light on a variety of important empirical questions across psychology, cognitive science, and beyond.

Proper citation: MouseTracker (RRID:SCR_005979) Copy   


http://www.nitrc.org/projects/vvhistomatch/

Software tool for MRI intensity standardization by aligning histograms of higher dimensions. The methods defined in http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2006/Jaeger06-ANM.pdf are implemented as and ITK filter.

Proper citation: VectorValuedHistogramNormalizer (RRID:SCR_000082) Copy   


  • RRID:SCR_000693

    This resource has 1+ mentions.

http://niftilib.sourceforge.net/pynifti/

PyNIfTI is no longer actively developed. At has been superseded by NiBabel -- a pure-Python package that provides everything that PyNIfTI could do, and a lot more. The PyNIfTI module is a Python interface to the NIfTI I/O libraries. Using PyNIfTI, one can easily read and write NIfTI and ANALYZE images from within Python. The NiftiImage class provides pythonic access to the full header information and for a maximum of interoperability the image data is made available via NumPy arrays.

Proper citation: PyNIfTI (RRID:SCR_000693) Copy   


http://www.nitrc.org/projects/medvr/

This resouce will centralize development of tools for interaction with medical imaging data in immersive virtual environments (based on the Vizard platform).

Proper citation: Medical Image Processing and Visualization in Virtual Environments (RRID:SCR_001751) Copy   


http://www.nitrc.org/projects/mrcap/

Based on JIST and MIPAV, this pipeline combines structural magnetic resonance data with diffusion tensor imaging to estimate a connectome, which is a comprehensive description of the wiring diagram of the brain.

Proper citation: MR Connectome Automated Pipeline (RRID:SCR_002252) Copy   


http://enigma.ini.usc.edu/

Network that brings together researchers in imaging genomics, to understand brain structure and function, based on MRI, DTI, fMRI and genomewide association scan (GWAS) data. The ENIGMA Network has several goals: * to create a network of like-minded individuals, interested in pushing forward the field of imaging genetics * to ensure promising findings are replicated via member collaborations, in order to satisfy the mandates of most journals * to share ideas, algorithms, data, and information on promising findings or methods * to facilitate training, including workshops and conferences on key methods and emerging directions in imaging genetics. Data sharing with other members of the ENIGMA Network is optional and by no means a requirement of joining the network. Genetics and Imaging Protocols are available.

Proper citation: ENIGMA: Enhancing Neuro Imaging Genetics Through Meta-Analysis (RRID:SCR_005515) Copy   


  • RRID:SCR_008873

    This resource has 1+ mentions.

http://www.nitrc.org/projects/asl_spm8/

Quick ASL Wrapper for preprocessing arterial spin labeled (ASL) Data and computing blood flow measurements using UPenn ASL toolbox.

Proper citation: ASL spm8 (RRID:SCR_008873) Copy   


  • RRID:SCR_008891

    This resource has 10+ mentions.

http://www.nitrc.org/projects/antsr

An R extension to ANTs that performs multivariate statistical parametric mapping of DTI, T1 and other datatypes for the purpose of both performing clinical studies and for tracking the performance of ANTs (and other) image processing methodologies. ANTsR depends upon the R statistical language, bash scripts and the ANTs toolkit. Some branches of ANTsR will also depend upon pipedream and specific datasets. Some of these datasets will be open access and, in that case, ANTsR will provide a 100% reproducible neuroimaging study on that data.

Proper citation: ANTsR (RRID:SCR_008891) Copy   


  • RRID:SCR_011446

    This resource has 100+ mentions.

http://www.nlm.nih.gov/

NLM collects, organizes, and makes available biomedical science information to scientists, health professionals, and the public. The Library's Web-based databases, including PubMed/Medline and MedlinePlus, are used extensively around the world. NLM conducts and supports research in biomedical communications; creates information resources for molecular biology, biotechnology, toxicology, and environmental health; and provides grant and contract support for training, medical library resources, and biomedical informatics and communications research. Celebrating its 175th anniversary in 2011, the National Library of Medicine (NLM), in Bethesda, Maryland, is a part of the National Institutes of Health, U.S. Department of Health and Human Services (HHS). Since its founding in 1836 as the library of the U.S. Army Surgeon General, NLM has played a pivotal role in translating biomedical research into practice. It is the world's largest biomedical library and the developer of electronic information services that deliver trillions of bytes of data to millions of users every day. Scientists, health professionals, and the public in the United States and around the globe search the Library's online information resources more than 1 billion times each year. The Library is open to all and has many services and resources for scientists, health professionals, historians, and the general public. NLM has over 17 million books, journals, manuscripts, audiovisuals, and other forms of medical information on its shelves, making it the largest health-science library in the world. In today's increasingly digital world, NLM carries out its mission of enabling biomedical research, supporting health care and public health, and promoting healthy behavior by: * Acquiring, organizing, and preserving the world's scholarly biomedical literature; * Providing access to biomedical and health information across the country in partnership with the 5,800-member National Network of Libraries of Medicine (NN/LM); * Serving as a leading global resource for building, curating and providing sophisticated access to molecular biology and genomic information, including those from the Human Genome Project and NIH Common Fund; * Creating high-quality information services relevant to toxicology and environmental health, health services research, and public health; * Conducting research and development on biomedical communications systems, methods, technologies, and networks and information dissemination and utilization among health professionals, patients, and the general public; * Funding advanced biomedical informatics research and serving as the primary supporter of pre- and post-doctoral research training in biomedical informatics at 18 U.S. universities.

Proper citation: National Library of Medicine (RRID:SCR_011446) Copy   


  • RRID:SCR_013271

    This resource has 10+ mentions.

https://vpixx.com/products/viewpixx/

Research-grade, CRT-replacement LCD display system for vision science and psychophysics. It combines a 22.5″ 1920×1200 industrial LCD (wide 176°/176° viewing angles) with a custom panel/video controller engineered for deterministic stimulus timing and synchronized acquisition. The display supports 12-bit intensity resolution per RGB channel via custom video modes. It uses a scanning RGB LED backlight to improve temporal precision (e.g., crisp frame transitions and reduced motion artifacts) while bypassing consumer “enhancement” processing to keep output predictable for experiments. VIEWPixx also integrates microsecond-synchronized peripherals commonly needed in timing-sensitive paradigms—24-channel TTL I/O (triggers), stereo audio I/O, analog I/O, and a button-box interface—implemented on the same board as the video pipeline for tight hardware-to-video synchronization.

Proper citation: VIEWPixx (RRID:SCR_013271) Copy   


  • RRID:SCR_013299

    This resource has 50+ mentions.

https://vpixx.com/hardware/projector/

Unique DLP LED projector which has been designed to be the most flexible display solution for vision research and neuroscience research. The PROPixx features a native resolution of 1920 x 1080, and can be driven with refresh rate up to 500Hz with deterministic timing. The PROPixx uses high brightness LEDs as a light source, giving a wide colour gamut and much longer lifetime than halogen light sources. It features high-bit depth, up to 12-bit per color for high-frequency full colour stimulation. For stereo vision applications, our high-speed ferro-electric circular polarizer can project stereoscopic stimuli with the use of passive glasses at up to 400Hz. In addition the PROPixx includes an array of peripherals which often need to be synchronized to video during an experiment, and with perfect microsecond precision.

Proper citation: PROPixx (RRID:SCR_013299) Copy   


  • RRID:SCR_014087

    This resource has 10+ mentions.

http://www.nitrc.org/projects/bic-mni-models/

Anatomical brain template library which includes models from ICBM 2009 template.Number of unbiased non-linear averages of MNI152 database have been generated that combines attractions of both high-spatial resolution and signal-to-noise while not being subject to vagaries of any single brain. Procedure involved multiple iterations of process where, at each iteration, individual native MRIs were non-linearly fitted to the average template from previous iteration, beginning with MNI152 linear template.

Proper citation: bic-mni-models (RRID:SCR_014087) Copy   


http://www.nitrc.org/projects/uncuw_macdevmri/

A macaque brain MRI database characterizing the normal postnatal macaque brain development. This longitudinal primate database was acquired from a cohort of healthy macaque monkeys ranging from a few week olds up to 3-year-old adolescents. Each scan consists of structural (both T1 and T2) and diffusion MRI.

Proper citation: UNC-Wisconsin Neurodevelopment Rhesus MRI Database (RRID:SCR_014177) Copy   


http://www.nitrc.org/projects/sim_dwi_brain/

This resource provides simulated DW-MRI brain images and quantitative tools for evaluating the performance of diffusion analysis methods in terms of fiber orientation estimation and false-positive/-negative fiber rates, which are of fundamental importance to tractography based studies. DW data was generated using a multi-tensor model at SNRs of 9, 18 and 36, for sets of 20, 30, 40, 60, 90 and 120 gradient directions. For each combination of SNR and gradient direction set, 10 realizations of data are provided. All data is simulated with a diffusion-weighting of b=1000, as is common for clinical acquisitions.

Proper citation: Simulated DW-MRI Brain Data Sets for Quantitative Evaluation of Estimated Fiber Orientations (RRID:SCR_014168) Copy   


http://www.nitrc.org/projects/spikecor_fmri/

This algorithm corrects for spikes in fMRI data, typically caused by abrupt head motion during scanning. It identifies outliers using Principal Component Analysis (PCA) in a sliding time-window; it is sensitive to global motion artifact, and stable against non-stationary signal changes.

Proper citation: SPIKECOR: fMRI tool for automated correction of head motion spikes (RRID:SCR_014169) 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