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on page 1 showing 20 out of 434 results from 1 sources

Cite this (3D DTI Atlas of the Rat Brain In Postnatal Day 5 14 and Adulthood, RRID:SCR_009437)

URL: http://www.nitrc.org/projects/dti_rat_atlas/

Resource Type: Resource, atlas, reference atlas, data or information resource

3D DTI anatomical rat brain atlases have been created by the UNC- Chapel Hill Department of Psychiatry and the CAMID research collaboration. There are three age groups, postnatal day 5, postnatal day 14, and postnatal day 72. The subjects were Sprague-Dawley rats that were controls in a study on cocaine abuse and development. The P5 and P14 templates were made from scans of twenty rats each (ten female, ten male); the P72, from six females. The individual cases have been resampled to isotropic resolution, manually skull-stripped, and deformably registered via an unbiased atlas building method to create a template for each age group. Each template was then manually segmented using itk-SNAP software. Each atlas is made up of 3 files, a template image, a segmentation, and a label file.

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Cite this (3D Interactive Chemical Shift Imaging, RRID:SCR_002581)

URL: https://www.nitrc.org/projects/threedicsi/

Resource Type: Resource, software resource, software application, data processing software

A user-friendly and comprehensive software program for multi-dimensional CSI data visualization, spectral processing, localization, quantification and multi-variate analysis.

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Cite this (3DSlicerLupusLesionModule, RRID:SCR_000853)

URL: http://www.nitrc.org/projects/lupuslesion/

Resource Type: Resource, software resource, software application, data processing software

Slicer3 module to provide a capability for performing white matter lesion classification and summary.

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Cite this (4D Atlases Construction, RRID:SCR_002227)

URL: http://www.med.unc.edu/bric/ideagroup/free-softwares/4d-atlases-construction

Resource Type: Resource, software resource

Software package for constructing longitudinal atlases, which are the necessary steps for many brain-related applications.

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Cite this (4D-PARSeR Pathological Anatomy Regression via Segmentation and Registration, RRID:SCR_002480)

URL: http://www.nitrc.org/projects/parser_4d/

Resource Type: Resource, segmentation software, image analysis software, data processing software, software application, software resource, registration software

A tool for analyzing 4D images with pathology. Originally developed for processing longitudinal images of patients with traumatic brain injury, the tool contains new image analysis algorithms that combine registration and segmentation in a coherent framework, accounting for extreme changes due to extensive tissue damage.

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Cite this (aBEAT, RRID:SCR_002238)

URL: http://www.med.unc.edu/bric/ideagroup/free-softwares/abeat-a-toolbox-for-consistent-analysis-of-longitudinal-adult-brain-mri

Resource Type: Resource, image analysis software, data processing software, software application, software resource, software toolkit, image processing software

A 4D adult brain extraction and analysis toolbox with graphical user interfaces to consistently analyze 4D adult brain MR images. Single-time-point images can also be analyzed. Main functions of the software include image preprocessing, 4D brain extraction, 4D tissue segmentation, 4D brain labeling, ROI analysis. Linux operating system (64 bit) is required. A computer with 8G memory (or more) is recommended for processing many images simultaneously. The graphical user interfaces and overall framework of the software are implemented in MATLAB. The image processing functions are implemented with the combination of C/C++, MATLAB, Perl and Shell languages. Parallelization technologies are used in the software to speed up image processing.

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Cite this (ABSORB: Atlas Building by Self-Organized Registration and Bundling, RRID:SCR_007018)

URL: http://bric.unc.edu/ideagroup/free-softwares/ABSORB/

Resource Type: Resource, image analysis software, data processing software, source code, software application, software resource, registration software

This software package implements an algorithm for effective groupwise registration. The required input is a set of 3D MR intensity images (in Analyze format with paired .hdr and .img files) with a text file (.txt) listing all header file (.hdr) names. The output is the set of registered images together with the corresponding dense deformation fields. This software has been tested on Windows XP (32-bit) and Linux (64-bit, kernel version 2.6.18-194.el5). The images should be pre-processed before applying ABSORB: * All brain MR images used as inputs to ABSORB should be in the same situation (e.g., skull-stripped or not, cerebellum removed or not, etc.). * The input images should be in Analyze format with paired header and image files. This software was developed in IDEA group in UNC-Chapel Hill.

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Cite this (Age Related Atrophy Dataset, RRID:SCR_009528)

URL: http://www.bsl.ece.vt.edu/index.php?page=ara-dataset

Resource Type: Resource, data set, source code, software resource, data or information resource

Dataset of structural MR images of 70 subjects collected during 2008-2010 across a wide range of ages. The dataset also contains resting state fMRI for most subjects. The structural images are T1 weighted, T2 weighted-FLAIR, 25 direction DTI, and the T1 mapping DESPOT [1] sequence. Reconstructed T1 maps for each subject are also available. The aquisition protocol was designed to study structural differences between young and older adults including both shape and intensity changes. Anonymized DICOM image sessions and processed images for each subject are available. The data is licensed under the Creative Commons Attribution License. It may be used freely for commercial, academic, or other use, as long as the original source is properly cited. http://www.bsl.ece.vt.edu/index.php?page=ara-dataset

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Cite this (ALVIN, RRID:SCR_009527)

URL: http://sites.google.com/site/mrilateralventricle/

Resource Type: Resource, software resource, software application

A fully automated algorithm which works within SPM8 to segment the lateral ventricles from structural MRI images. The algorithm has been validated in infants, adults and patients with Alzheimer's disease (ICC>0.95). ALVIN is insensitive to different scanner sequences (ICC>0.99, 8 different sequences 1.5T and 3T) and sensitive to changes in ventricular volume. Processing time is approx 10mins per subject.

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Cite this (ANTsR, RRID:SCR_008891)

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

Resource Type: Resource, software resource

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.

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Cite this (ARCTIC, RRID:SCR_005989)

URL: http://www.nitrc.org/projects/arctic

Resource Type: Resource, software resource, software application, workflow software, data processing software, image analysis software

An end-to-end application allowing individual regional analysis of cortical thickness. This cross-platform tool can be run within Slicer3 as an external module, or directly as a command line. * Operating System: MacOS, Linux * Programming Language: C++ * Supported Data Format: ANALYZE, Nrrd, Other Format * build requires: Insight Toolkit

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Cite this (ASL data processing tool box, RRID:SCR_005997)

URL: http://www.nitrc.org/projects/asltbx

Resource Type: Resource, software resource, software application, data processing software, software toolkit

Tool box for arterial spin labeled perfusion MRI data processing. It is based on SPM and Matlab. More detailed documentation can be found in asl_perf_subtract.m, the main function for calculating CBF value. It supports 3D or 4D Analyze or Nifiti format and PASL, CASL, and PCASL data. It contains the code for calculating CBF and a set of SPM batch scripts for preprocessing and statistical analysis.

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    ASL spm8

Cite this (ASL spm8, RRID:SCR_008873)

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

Resource Type: Resource, software resource

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

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Cite this (Atlas3D, RRID:SCR_001808)

URL: http://www.nesys.uio.no/Atlas3D/

Resource Type: Resource, data processing software, software application, data visualization software, software resource, atlas, data or information resource

A multi-platform visualization tool which allows import and visualization of 3-D atlas structures in combination with tomographic and histological image data. The tool allows visualization and analysis of the reconstructed atlas framework, surface modeling and rotation of selected structures, user-defined slicing at any chosen angle, and import of data produced by the user for merging with the atlas framework. Tomographic image data in NIfTI (Neuroimaging Informatics Technology Initiative) file format, VRML and PNG files can be imported and visualized within the atlas framework. XYZ coordinate lists are also supported. Atlases that are available with the tool include mouse brain structures (3-D reconstructed from The Mouse Brain in Stereotaxic Coordinates by Paxinos and Franklin (2001)) and rat brain structures (3-D reconstructed from The Rat Brain in Stereotaxic Coordinates by Paxinos and Watson (2005)). Experimental data can be imported in Atlas3D and warped to atlas space, using manual linear registration, with the possibility to scale, rotate, and position the imported data. This facilitates assignment of location and comparative analysis of signal location in tomographic images.

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Cite this (Atlasing of the basal ganglia, RRID:SCR_009431)

URL: http://www.nitrc.org/projects/atag/

Resource Type: Resource, atlas, data or information resource

This atlas takes advantage of ultra-high resolution 7T MRI to provide unprecedented levels of detail on structures of the basal ganglia in-vivo. The atlas includes probability maps of the Subthalamic Nucleus (STh) using T2*-imaging. For now it has been created on 13 young healthy participants with a mean age of 24.38 (range: 22-28, SD: 2.36). We recently also created atlas STh probability maps from 8 middle-aged participants with a mean age of 50.67 (range: 40-59, SD: 6.63), and 9 elderly participants with a mean age of 72.33 (range: 67-77, SD: 2.87). You can find more details about the creation of these maps in the following papers: Young: http://www.ncbi.nlm.nih.gov/pubmed/22227131 Middle-aged & Elderly: http://www.ncbi.nlm.nih.gov/pubmed/23486960 Participating institutions are the Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, and the Cognitive Science Center Amsterdam, University of Amsterdam, the Netherlands.

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Cite this (Autism Tissue Program, RRID:SCR_000651)

URL: http://www.autismtissueprogram.org/

Resource Type: Resource, disease-related portal, topical portal, database, portal, funding resource, data or information resource

Autism research program that makes available post-mortem brain tissue to qualified scientists all over the world. Working directly with tissue banks, organ procurement agencies, medical examiners and the general public, this is the largest program dedicated to increasing and enhancing the availability of post-mortem brain tissue for basic research in autism. To date, the ATP has collected and stored more than 170 brains in their repositories at Harvard (US) and Oxford (UK). These brains are processed by formalin fixation and/or snap frozen to properly provide high quality tissue of all brain regions, in support of biological research in autism. The ATP is unique in that they diligently pursue all available clinical data (pre and post mortem) on tissue donors in order to create the most biologically relevant brain repository for autism research. These data, together with tissue resources from both banks and associated repositories, are presented to all interested researchers through their extensive web-based data portal (login required). The ATP is not a brain bank, but works directly with the Harvard Brain Tissue Resource Center in Boston (HBTRC), Massachusetts to serve as its tissue repository. This program augments brain bank functions by: * Creating the most biologically relevant brain tissue repository possible * Fully covering all costs associated with brain extraction and transfer to the repositories at Harvard (US and Canada) and Oxford (UK). * Providing scientific oversight of tissue distributions * Overseeing and managing all tissue grants * Clinically phenotyping and acquiring extensive medical data on all of their donors * Providing continuing family support and communication to all of their donors * Directly supporting researchers to facilitate autism research * Maintaining a robust web based data management and secure on-line global interface system * Developing and supporting ATP established scientific initiatives * Actively providing public outreach and education The ATP is not a clinical organ procurement agency, but rather they facilitate the wishes of donors and families to donate their tissue to autism research. Through the ATP's established international infrastructure, they work with any accredited tissue bank, organ procurement agency, or medical examiner that receives a family's request to donate their loved one's tissue to the program. Once contacted, the ATP will insure that the family's request to donate their loved one's tissue is faithfully met, covering all costs to the family and partnering agency as well as ensuring the tissues' proper and rapid transport to the ATP's repository at the Harvard Brain Tissue Resource Center (HBTRC) in Boston, Massachusetts.

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Cite this (Automatic Segmentation Tool Adapter, RRID:SCR_002481)

URL: http://www.nitrc.org/projects/segadapter/

Resource Type: Resource, software resource, software application

An open source learning-based software that automatically learns how to transfer the output of a host segmentation tool closer to the user's manual segmentation using the image data and manual segmentation provided by the user. The motivation of this project is to bridge the gap between the segmentation tool developer and the tool users such that the existing segmentation tools can more effectively serve the community. More and more automatic segmentation tools are publicly available to today's researchers. However, when applied by their end-users, these segmentation tools usually can not achieve the performance that the tool developer reported. Discrepancies between the tool developer and its users in manual segmentation protocols and imaging modalities are the main reasons for such inconsistency.

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Cite this (AutoSeg, RRID:SCR_009438)

URL: http://www.nitrc.org/projects/autoseg/

Resource Type: Resource, software resource, image analysis software, data processing software, software application

A novel C++ based application developped at UNC-Chapel Hill that performs automatic brain tissue classification and structural segmentation. AutoSeg is designed for use with human and non-human primate pediatric, adolescent and adult data. AutoSeg uses a BatchMake pipeline script that includes the main steps of the framework entailing N4 bias field correction, rigid registration to a common coordinate image, tissue segmentation, skull-stripping, intensity rescaling, atlas-based registration, subcortical segmentation and lobar parcellation, regional cortical thickness and intensity statistics. AutoSeg allows efficient batch processing and grid computing to process large datasets and provides quality control visualizations via Slicer3 MRML scenes.

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Cite this (B0 and eddy current correction for DTI, RRID:SCR_009529)

URL: http://www.birncommunity.org/tools-catalog/b0-and-eddy-current-correction-code-for-diffusion-mri/

Resource Type: Resource, software resource, software application, data processing software, source code

Software tool (excecutable and source code in C and C++) to correct distortions in diffusion MR images that are generated by main magnetic field inhomogeneities and eddy current induced fields generated from the direction-dependent diffusion encoding

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Cite this (Baby Brain Toolkit, RRID:SCR_009440)

URL: http://www.nitrc.org/projects/btk/

Resource Type: Resource, image analysis software, data processing software, software application, software resource, software toolkit, image processing software

Software toolkit developed for the fbrain project that consists of several image processing tools: image reconstruction, image denoising, image segmentation, tractography etc., for a better understanding of fetal brain development.

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