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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | ||||||||||||||
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Open Connectome Project Resource Report Resource Website 1+ mentions |
Open Connectome Project (RRID:SCR_004232) | Open Connectome Project | analysis service resource, data access protocol, data analysis service, data or information resource, data repository, data set, image repository, production service resource, service resource, software resource, source code, storage service resource, web service | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 9, 2023. Connectomes repository to facilitate the analysis of connectome data by providing a unified front for connectomics research. With a focus on Electron Microscopy (EM) data and various forms of Magnetic Resonance (MR) data, the project aims to make state-of-the-art neuroscience open to anybody with computer access, regardless of knowledge, training, background, etc. Open science means open to view, play, analyze, contribute, anything. Access to high resolution neuroanatomical images that can be used to explore connectomes and programmatic access to this data for human and machine annotation are provided, with a long-term goal of reconstructing the neural circuits comprising an entire brain. This project aims to bring the most state-of-the-art scientific data in the world to the hands of anybody with internet access, so collectively, we can begin to unravel connectomes. Services: * Data Hosting - Their Bruster (brain-cluster) is large enough to store nearly any modern connectome data set. Contact them to make your data available to others for any purpose, including gaining access to state-of-the-art analysis and machine vision pipelines. * Web Viewing - Collaborative Annotation Toolkit for Massive Amounts of Image Data (CATMAID) is designed to navigate, share and collaboratively annotate massive image data sets of biological specimens. The interface is inspired by Google Maps, enhanced to allow the exploration of 3D image data. View the fork of the code or go directly to view the data. * Volume Cutout Service - RESTful API that enables you to select any arbitrary volume of the 3d database (3ddb), and receive a link to download an HDF5 file (for matlab, C, C++, or C#) or a NumPy pickle (for python). Use some other programming language? Just let them know. * Annotation Database - Spatially co-registered volumetric annotations are compactly stored for efficient queries such as: find all synapses, or which neurons synapse onto this one. Create your own annotations or browse others. *Sample Downloads - In addition to being able to select arbitrary downloads from the datasets, they have also collected a few choice volumes of interest. * Volume Viewer - A web and GPU enabled stand-alone app for viewing volumes at arbitrary cutting planes and zoom levels. The code and program can be downloaded. * Machine Vision Pipeline - They are building a machine vision pipeline that pulls volumes from the 3ddb and outputs neural circuits. - a work in progress. As soon as we have a stable version, it will be released. * Mr. Cap - The Magnetic Resonance Connectome Automated Pipeline (Mr. Cap) is built on JIST/MIPAV for high-throughput estimation of connectomes from diffusion and structural imaging data. * Graph Invariant Computation - Upload your graphs or streamlines, and download some invariants. * iPad App - WholeSlide is an iPad app that accesses utilizes our open data and API to serve images on the go. | human, primary visual cortex, data sharing, male, electron microscopy, mri, connectome, annotation, image collection, array tomography |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: CATMAID is related to: neurodata is parent organization of: Rambo3D |
Johns Hopkins University; Maryland; USA ; JHU Applied Research Laboratory IRAD ; JHU Whiting School of Engineering ; Dean's Award ; NIBIB 1RO1EB016411-01 (CRCNS); DARPA N66001-14-1-4028 (GRAPHS); NSF ACI-1261715; NSF OCI-1040114; NIDA 1R01DA036400-01 |
PMID:23707591 | THIS RESOURCE IS NO LONGER IN SERVICE | SciRes_000189, nlx_143645 | http://openconnecto.me, http://www.nitrc.org/projects/ocp/ | SCR_004232 | SciCrunch Registry | openconnectomeproject, Open Connectome Project: Collectively reverse-engineering the brain one synapse at a time., Open Connectome Project: Collectively reverse-engineering the brain one synapse at a time | 2026-10-31 12:13:46 | 7 | ||||
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Open Colleges Resource Report Resource Website |
Open Colleges (RRID:SCR_000418) | Open Colleges | online course, training resource | A resource for online accredited courses in a wide variety of areas, including accounting, animal care, beauty, building and construction, business, education, design and writing. This resource is based in Australia. | open source, accredited, accounting, beauty, animal care, writing, journalism, education, business, building, real estate |
is parent organization of: Open Colleges Interactive Brain is parent organization of: Open Colleges Group |
nlx_155866 | SCR_000418 | SciCrunch Registry | 2026-10-31 12:12:38 | 0 | |||||||||
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Open MEG Archive Resource Report Resource Website 100+ mentions |
Open MEG Archive (RRID:SCR_014930) | OMEGA | data or information resource, data repository, database, service resource, storage service resource | Open data repository fully dedicated to MEG data in raw and processed form. The archive also contains anatomical MRI volumes and demographic and questionnaire information. Organized and stored as the Brain Imaging Data Structure (BIDS) with the integration of multimodal electrophysiology data. Directly readable by data-analysis software with Brainstorm. OMEGA will continue to expand, with contributions from the scientific community. | repository, meg, database, mri, data aggregation, raw meg data, processed meg data, FASEB list |
is related to: Brainstorm has parent organization: McGill University; Montreal; Canada |
Quebec Bioimaging Network | Open source, Registration required, Acknowledgement required | https://box.bic.mni.mcgill.ca/s/4qFZvf6tmgMA371/authenticate | SCR_014930 | SciCrunch Registry | OMEGA:Open MEG Archive | 2026-10-31 12:18:33 | 125 | ||||||
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Maryland Brain Collection Resource Report Resource Website 1+ mentions |
Maryland Brain Collection (RRID:SCR_004384) | MBC | biomaterial supply resource, brain bank, material resource, tissue bank | The Maryland Brain Collection (MBC), a resource of the Maryland Psychiatric Research Center (MPRC), is dedicated to promoting research with brain tissue obtained post-mortem from individuals with schizophrenia or related disorders. The primary goal of the MBC is to provide high-quality tissue, along with comprehensive clinical information, for hypothesis-driven research. The MBC is not conceptualized as a Brain Bank with open access but is maintained and funded through collaborative research. The Maryland Brain Collection is managed by researchers at the Maryland Psychiatric Research Center (MPRC). MPRC scientists are dedicated to understanding the causes and improving the treatment of mental illness. The Maryland Brain Collection is associated with the Office of the Chief Medical Examiner for the State of Maryland and other donor sources. MPRC scientists collaborate with scientists from around the world to understand how abnormalities in brain tissue relate to mental illness. The purpose of the MBC is to study the following: Schizophrenia, Bipolar Disorder, Depression, Suicide/Teen suicide, Substance Abuse. |
is listed by: One Mind Biospecimen Bank Listing has parent organization: University of Maryland School of Medicine; Maryland; USA |
University of Maryland; Maryland; USA ; private donations individuals and foundations ; NIH |
nlx_39828 | http://medschool.umaryland.edu/MPRC/mbc.asp | SCR_004384 | SciCrunch Registry | 2026-10-31 12:13:53 | 2 | ||||||||
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Sarah Jane Brain Project Resource Report Resource Website |
Sarah Jane Brain Project (RRID:SCR_000620) | SJBF | data or information resource, portal, topical portal | The Mission of the Sarah Jane Brain Project is to create a model system of care for children and young adults suffering from all Pediatric Acquired Brain Injuries in order to advance our knowledge of the brain fifty years over the next five years! As a father of a child suffering from a Pediatric Acquired Brain Injury (PABI), I have spent countless hours searching the internet and speaking with Sarah Jane's development team (doctors, therapists and other professionals) trying to improve the development of my daughter. What I found was that while there are a countless number of wonderful and informative prevention sites for Shaken Baby Syndrome and advocacy sites for brain injuries, there is no one centralized resource for research and rehabilitation for PABI. Furthermore, many of the issues families and children face are the same whether the brain injury was caused by a car crash, a sports-related concussion, an assault or by a tumor. No one person or organization has all the answers to the questions that parents of children suffering from PABI face. Yet through my own experience, I learned that the coordination and dissemination of Sarah Jane's medical and therapy records and data in an orderly manner greatly helps her development team better help her. These wonderful individuals are constantly looking for additional ways to improve Sarah Jane's progress by speaking with their colleagues, reading literature on brain injury, and collaborating with other parents. But they all admit there is a considerable amount that still needs to be learned about the human brain, particularly the developing brain. The field of neuroscience today is similar to the computer science field of the 1950s and 1960s: you have a diverse group of very smart people working independently of one another throughout the United States and the world, yet few know what the others are doing behind closed doors. Fast- forward 50 years and many of the breakthroughs in the computer industry have been made utilizing the principles of open source a research method that promotes free and open access to the design and production of goods and knowledge. Its use was made well-known through the creation of the Linux computer operating system, in which professionals share knowledge to make corrections and fix problems. Open source is commonly used by millions of people today through the Wikipedia online free encyclopedia, a collection of public entries on established subjects that allows anyone to make additions or corrections. The National Institute of Mental Health launched The Human Brain Project in 1993 to develop and support the new science of neuro-informatics. From this initiative, it became obvious what needed to be done. That's why we created the Sarah Jane Brain Virtual Center of Excellence an ecosystem for professionals and families dealing with PABI around the world and a vehicle to help implement the PABI Plan by establishing a model system for PABI. | brain injury, brain, young human | Pediatric Acquired Brain Injury | nlx_151578 | SCR_000620 | SciCrunch Registry | Sarah Jane Brain Foundation | 2026-10-31 12:12:40 | 0 | ||||||||
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Automatic Analysis Resource Report Resource Website 1+ mentions |
Automatic Analysis (RRID:SCR_003560) | aa | data analysis software, data processing software, image analysis software, image processing software, software application, software resource, software toolkit, time-series analysis software, workflow software | Integration framework for major open source packages in neuroimaging including SPM, FSL, FreeSurfer, EEGLAB, and Fieldtrip. Efficient neuroimaging workflows and parallel processing using Matlab and XML. Addresses challenges of processing multimodal datasets, like combining anatomy, functional MRI, diffusion, and EEG, to yield integrated views of brain. Allows to design, execute, and share pipelines utilizing multiple open source packages. Supports parallelized execution to address challenges of large cohort studies and provides quality control offering group statistics and reporting facilities to help identify outlier subjects and erroneous processing steps. | Neuroimaging workflows, processing multimodal datasets, brain integrated views, fmri, eeg, meg, dwi, morphometry, parallel-processing, scripting, record-keeping, |
uses: FreeSurfer uses: MATLAB uses: SPM |
NIA R01 AG038490; NIDCD R01 DC013063; NSERC Discovery and the Canada Excellence Research Chair (CERC) in Cognitive Neuroimaging ; NSERC/CIHR CHRP |
PMID:25642185 | nlx_157695 | SCR_003560 | SciCrunch Registry | automaticanalysis, AutomaticAnalysis | 2026-10-31 12:13:28 | 8 | ||||||
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Mindboggle Resource Report Resource Website 100+ mentions |
Mindboggle (RRID:SCR_002438) | Mindboggle | data processing software, software application, software resource | Mindboggle (http://mindboggle.info) is open source software for analyzing the shapes of brain structures from human MRI data. The following publication in PLoS Computational Biology documents and evaluates the software: Klein A, Ghosh SS, Bao FS, Giard J, Hame Y, Stavsky E, Lee N, Rossa B, Reuter M, Neto EC, Keshavan A. (2017) Mindboggling morphometry of human brains. PLoS Computational Biology 13(3): e1005350. doi:10.1371/journal.pcbi.1005350 | analyze, anatomic, atlas application, console (text based), labeling, python, magnetic resonance, os independent, region of interest, segmentation, brain, label, mri, anatomy, cerebral cortex, human brain, parcellation, morphometry, shape measures, cortical thickness, cortical depth, Laplace-Beltrami spectra, Zernike moments | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | NIMH MH084029-02 | Free, Available for download, Freely available | nlx_155813 | http://www.nitrc.org/projects/mindboggle | SCR_002438 | SciCrunch Registry | 2026-10-31 12:19:06 | 246 | ||||||
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ConnectomeDB Resource Report Resource Website 50+ mentions |
ConnectomeDB (RRID:SCR_004830) | ConnectomeDB | data or information resource, data repository, database, image collection, image repository, service resource, storage service resource | Data management platform that houses all data generated by the Human Connectome Project - image data, clinical evaluations, behavioral data and more. ConnectomeDB stores raw image data, as well as results of analysis and processing pipelines. Using the ConnectomeDB infrastructure, research centers will be also able to manage Connectome-like projects, including data upload and entry, quality control, processing pipelines, and data distribution. ConnectomeDB is designed to be a data-mining tool, that allows users to generate and test hypotheses based on groups of subjects. Using the ConnectomeDB interface, users can easily search, browse and filter large amounts of subject data, and download necessary files for many kinds of analysis. ConnectomeDB is designed to work seamlessly with Connectome Workbench, an interactive, multidimensional visualization platform designed specifically for handling connectivity data. De-identified data within ConnectomeDB is publicly accessible. Access to additional data may be available to qualified research investigators. ConnectomeDB is being hosted on a BlueArc storage platform housed at Washington University through the year 2020. This data platform is based on XNAT, an open-source image informatics software toolkit developed by the NRG at Washington University. ConnectomeDB itself is fully open source. | brain, connectivity, human, adult human, evaluation, clinical, behavior, data set, diffusion imaging, resting-state fmri, task-evoked fmri, t1-weighted mri, t2-weighted mri, structural mapping, myelin mapping, magnetoencephalography, electroencephalography, fmri, twin |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: XNAT - The Extensible Neuroimaging Archive Toolkit has parent organization: Washington University in St. Louis; Missouri; USA works with: Connectome Workbench |
Healthy, Twin, Non-twin sibling | NIH Blueprint for Neuroscience Research ; Washington University in St. Louis; Missouri; USA ; McDonnell Center for Systems Neuroscience ; NIMH 1U54MH091657 |
PMID:22366334 | Account required, Open unspecified license, Acknowledgement required, See Data Use Terms, The community can contribute to this resource | nlx_143923 | SCR_004830 | SciCrunch Registry | 2026-10-31 12:18:29 | 63 | |||||
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Human Neocortical Neurosolver Resource Report Resource Website 10+ mentions |
Human Neocortical Neurosolver (RRID:SCR_017437) | HNN | data analysis software, data processing software, simulation software, software application, software resource | Open source software package for circuit level interpretation of human EEG/MEG data. Software tool for interpreting cellular and network origin of human MEG/EEG data. Simulates electrical activity of neocortical cells and circuits that generate primary electrical currents underlying EEG/MEG recordings. Designed for researchers and clinicians, without computational neural modeling experience, to develop and test hypothesis on circuit origin of their data. | Neural, modeling, human, imaging, data, EEG, MEG, electrical, neocortical, cell, circuit, BRAIN Initiative, bio.tools |
is recommended by: BRAIN Initiative is listed by: Debian is listed by: bio.tools has parent organization: Brown University; Rhode Island; USA has parent organization: Yale University; Connecticut; USA has parent organization: Massachusetts General Hospital |
NIBIB R01 EB022889; NIDCD R01 DC012947 |
DOI:10.1101/740597 | Free, Available for download, Freely available | SCR_017678, biotools:HNN | https://github.com/jonescompneurolab/hnn, https://github.com/jonescompneurolab/hnn/tree/0.0.5, https://github.com/jonescompneurolab/hnn/tree/0.1.2, https://zenodo.org/record/2394296#.Xg4rCEdKiM9, https://bio.tools/HNN | SCR_017437 | SciCrunch Registry | 2026-10-31 12:16:59 | 13 | |||||
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NeuroSynth Resource Report Resource Website 1000+ mentions |
NeuroSynth (RRID:SCR_006798) | Neurosynth | data or information resource, database, software resource, source code | Platform for large-scale, automated synthesis of functional magnetic resonance imaging (fMRI) data extracted from published articles. It''s a website wrapped around a set of open-source Python and JavaScript packages. Neurosynth lets you run crude but useful analyses of fMRI data on a very large scale. You can: * Interactively visualize the results of over 3,000 term-based meta-analyses * Select specific locations in the human brain and view associated terms * Browse through the nearly 10,000 studies in the database Their ultimate goal is to enable dynamic real-time analysis, so that you''ll be able to select foci, tables, or entire studies for analysis and run a full-blown meta-analysis without leaving your browser. You''ll also be able to do things like upload entirely new images and obtain probabilistic estimates of the cognitive states most likely to be associated with the image. | activation foci, magnetic resonance imaging assay, brain, human, fmri, neuroimaging, python, image, functional neuroimaging, FASEB list |
is used by: NeuroVault is used by: NIF Data Federation is listed by: GitHub is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: Brainspell has parent organization: University of Texas at Austin; Texas; USA |
NIMH R01MH096906 | PMID:21706013 | Neurosynth Automated Coordinate Extraction (ACE) tools under, Open unspecified license, Open Software License, v3, Http://www.nitrc.org/include/glossary.php#552, Software is, Free, Copyright and permission notice required | nlx_55906 | http://www.nitrc.org/projects/neurosynth, https://github.com/tyarkoni/neurosynth | SCR_006798 | SciCrunch Registry | Neurosynth.org | 2026-10-31 12:19:11 | 1340 | ||||
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Connectome Mapping Toolkit Resource Report Resource Website 10+ mentions |
Connectome Mapping Toolkit (RRID:SCR_001644) | Connectome Mapping Toolkit | data management software, data or information resource, data processing software, data set, image analysis software, image processing software, software application, software resource, software toolkit | A Python-based open source toolkit for magnetic resonance connectome mapping, data management, sharing, visualization and analysis. The toolkit includes the connectome mapper (a full DMRI processing pipeline), a new file format for multi modal data and metadata, and a visualization application. | magnetic resonance, connectome, mapping, data management, data sharing, visualization, analysis, connectome mapper, processing pipeline, python, connectomics, multi-modal, network analysis, neuroimaging, neuroinformatics tool, mri, knowledge-base, semantic, technology, mapping, source code |
is related to: Diffusion MRI of Traumatic Brain Injury has parent organization: University of Lausanne; Lausanne; Switzerland has parent organization: Ecole Polytechnique Federale de Lausanne; Lausanne; Switzerland is parent organization of: Connectome Viewer |
Swiss National Science Foundation 33CM30-124089 | PMID:21713110 | Free, Available for download, Freely available | nlx_153920 | http://www.cmtk.org/, http://www.connectome.ch/ | SCR_001644 | SciCrunch Registry | 2026-10-31 12:12:54 | 10 | |||||
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Brainscape Resource Report Resource Website 1+ mentions |
Brainscape (RRID:SCR_002962) | Brainscape | analysis service resource, data analysis service, data or information resource, data repository, database, image repository, production service resource, service resource, storage service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on May 23, 2013. Database for resting state functional connectivity studies. Functional connectivity has shown tremendous promise in mapping the intrinsic functional topography of the brain, evaluating neuroanatomical models, and investigating neurological and psychiatric disease. Brainscape includes a repository of public and private data and an analysis engine for exploring the correlation structure of spontaneous fluctuations in the fMRI BOLD signal. (DICOM data is the image format that can be uploaded.) With Brainscape you can upload, analyze, and share your own data. You can search for, download, and analyze studies in the repository of shared data. The analysis engine works by selecting one or more studies, typing in the coordinates of a brain region of interest, and the seed-region correlation engine computes the correlation structure across the whole brain. (T1, T2 and EPI data are the scan types Brainscape can process.) You decide who can access your data. You can keep it to yourself, share with select colleagues, or share it with everyone. The Brainscape database and analysis tools are open source and freely available. | functional connectivity, fmri bold signal, brain, neuroanatomy, region of interest, resting state, fmri, analysis, processing, dicom, dicom data, t1, t2, epi data, 4-dimensional floating point, raw, statistical comparison, functional topography, neurological, psychiatric, disease, mri, functional, statistical operation, correlation |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps has parent organization: University of California at San Diego; California; USA |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-00501 | SCR_002962 | SciCrunch Registry | 2026-10-31 12:13:16 | 2 | ||||||||
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SPM Anatomy Toolbox Resource Report Resource Website 100+ mentions |
SPM Anatomy Toolbox (RRID:SCR_013273) | SPM Anatomy Toolbox | software resource | A MATLAB toolbox which uses three dimensional probabilistic cytoarchitechtonic maps to correlate microscopic, anatomic and functional data of the cerebral cortex. Correlating the activation foci identified in functional imaging studies of the human brain with structural (e.g., cytoarchitectonic) information on the activated areas is a major methodological challenge for neuroscience research. We here present a new approach to make use of three-dimensional probabilistic cytoarchitectonic maps, as obtained from the analysis of human post-mortem brains, for correlating microscopical, anatomical and functional imaging data of the cerebral cortex. We introduce a new, MATLAB based toolbox for the SPM2 software package which enables the integration of probabilistic cytoarchitectonic maps and results of functional imaging studies. The toolbox includes the functionality for the construction of summary maps combining probability of several cortical areas by finding the most probable assignment of each voxel to one of these areas. Its main feature is to provide several measures defining the degree of correspondence between architectonic areas and functional foci. The software, together with the presently available probability maps, is available as open source software to the neuroimaging community. This new toolbox provides an easy-to-use tool for the integrated analysis of functional and anatomical data in a common reference space. | human, brain, imaging, functional magnetic resonance imaging, structure, mapping, atlas, pet, neuroimaging | is related to: SPM | NIMH ; NINDS ; NIBIB ; DFG KFO-112; DFG Schn 362/13-2 |
PMID:15850749 | nif-0000-10477 | SCR_013273 | SciCrunch Registry | 2026-10-31 12:15:53 | 108 | |||||||
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MITRE Neuroinformatics Resource Report Resource Website |
MITRE Neuroinformatics (RRID:SCR_006508) | MITRE Neuroinfomatics | data analysis software, data distribution software, data processing software, data transfer software, data visualization software, simulation software, software application, software resource | This resource''s long-term goal is to develop informatics methodologies and tools that will increase the creativity and productivity of neuroscience investigators, as they work together to use shared human brain mapping data to generate and test ideas far beyond those pursued by the data''s originators. This resource currently has four major projects supporting this goal: * Database tools: The goal of the NeuroServ project is to provide neuroscience researchers with automated information management tools that reduce the effort required to manage, analyze, query, view, and share their imaging data. It currently manages both structural magnetic resonance image (MRI) datasets and diffusion tensor image (DTI) datasets. NeuroServ is fully web-enabled: data entry, query, processing, reporting, and administrative functions are performed by qualified users through a web browser. It can be used as a local laboratory repository, to share data on the web, or to support a large distributed consortium. NeuroServ is based on an industrial-quality query middleware engine MRALD. NeuroServ includes a specialized neuroimaging schema and over 40 custom Java Server Pages supporting data entry, query, and reporting to help manage and explore stored images. NeuroServ is written in Java for platform independence; it also utilizes several open source components * Data sharing: DataQuest is a collaborative forum to facilitate the sharing of neuroimaging data within the neuroscience community. By publishing summaries of existing datasets, DataQuest enables researchers to: # Discover what data is available for collaborative research # Advertise your data to other researchers for potential collaborations # Discover which researchers may have the data you need # Discover which researchers are interested in your data. * Image quality: The approach to assessing the inherent quality of an image is to measure how distorted the image is. Using what are referred to as no-reference or blind metrics, one can measure the degree to which an image is distorted. * Content-based image retrieval: NIRV (NeuroImagery Retrieval & Visualization) is a work environment for advanced querying over imagery. NIRV will have a Java-based front-end for users to issue queries, run processing algorithms, review results, visualize imagery and assess image quality. NIRV interacts with an image repository such as NeuroServ. Users can also register images and will soon be able to filter searches based on image quality. | brain, data, diffusion tensor image, distorted, human, imagery, image, informatics, investigator, laboratory, magnetic resonance image, mapping, neuroscience, structural, visualization, neuroimaging | Human Brain Project ; MITRE Technology Program ; NSF ; NIMH R01-MH64417 |
nif-0000-10469 | http://neuroinformatics.mitre.org/ | SCR_006508 | SciCrunch Registry | Neuroinfomatics at MITRE, Neuroinformatics: Exploring the Human Brain | 2026-10-31 12:14:37 | 0 | |||||||
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BrainLiner Resource Report Resource Website 1+ mentions |
BrainLiner (RRID:SCR_004951) | BrainLiner | data or information resource, data repository, database, service resource, software application, software library, software resource, software toolkit, storage service resource | Portal and tools for sharing and editing neurophysiological and behavioral data for brain-machine interface research. Users can search for existing data or login with their Google, Facebook, or Twitter account and upload new data. Their main focus is on supporting brain-machine interface research, so we encourage users to not just provide recordings of brain activity data, but also information about stimuli, etc., so that statistical relationships can be found between stimuli and/or subject behavior and brain activity. The Matlab tools are for writing, reading, and converting Neuroshare files, the common file format. A free, open source desktop tool for editing neurophysiological data for brain-machine interface research is also available: https://github.com/ATR-DNI/BrainLiner Since data formats aren''''t standardized between programs and researchers, data and analysis programs for data cannot be easily shared. Neuroshare was selected as the common file format. Neuroshare can contain several types of neurophysiological data because of its high flexibility, including analog time-series data and neuronal spike timing. Some applications have plug-ins or libraries available that can read Neuroshare format files, thus making Neuroshare somewhat readily usable. Neuroshare can contain several types of neurophysiological data, but there were no easy tools to convert data into the Neuroshare format, so they made and are providing a Neuroshare Converter Library and Simple Converter using the library. In future work they will make and provide many more useful tools for data sharing. Shared experiments include: EMG signal, Takemiya Exp, Reconstruct (Visual image reconstruction from human brain activity using a combination of multi-scale local image decoders), SPIKE data, Speech Imagery Dataset (Single-trial classification of vowel speech imagery using common spatial patterns), Functional Multineuron Calcium Imaging (fMCI), Rock-paper-scissors (The data was obtained from subject while he make finger-form of rock/paper/scissors). They also have a page at https://www.facebook.com/brainliner where you can contact us | brain-machine interface, brain, behavior, neurophysiology, electromyography, fmri, speech, vision, memory, neuron, eeg, electrocorticography, food tracking task, food tracking, task, meg, mutielectrode, nirs, optical imaging, pet, time-series data, neuronal spike timing, data sharing, manipulation, data set, metadata standard, neuroscience, matlab |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: Neuroshare - Open data specifications and software for neurophysiology has parent organization: ATR; Kyoto; Japan |
Japanese Ministry of Education Culture Sports Science and Technology MEXT | PMID:26858636 | GNU General Public License, The community can contribute to this resource | nlx_91840 | SCR_004951 | SciCrunch Registry | BrainLiner.jp | 2026-10-31 12:13:54 | 7 | |||||
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MITK Diffusion Resource Report Resource Website 1+ mentions |
MITK Diffusion (RRID:SCR_006846) | MITK-DI | data processing software, data visualization software, image analysis software, image processing software, software application, software resource, software toolkit, source code | A selection of image analysis algorithms for the processing of diffusion-weighted MR images. Features & Highlights * Tensor and q-ball reconstruction * Glyph visualization * Quantification and partial volume clustering of tensor and q-ball images * Global fiber tractography, visualization, and tract post-processing * Brain network statistics and visualization (connectomics) * Interactive exploration of Tract-based spatial statistics (TBSS) results * Intra-voxel incoherent motion (IVIM) estimation * Synthetic data generation Additional system specific requirements: * Windows: If you have problems running the Windows application, please install the Microsoft Redistributable Packages for VS 2008: 32 bit or 64 bit * Linux: the Qt framework, version 4.6.2 or later Tested systems: Windows 7, Windows Vista; Ubuntu 12.04 and newer; OS X 10.6 (Snow Leopard), OS X 10.8 (Mountain Lion) The OS X 10.6 installer is compatible with OS X 10.7 (Lion) so there is no dedicated disk image build under 10.7. The MITK Diffusion application is based on the MITK research platform and the most of it is open-source. The available code is embedded into the source code of MITK as a module and can be accessed through the public git repository. | tractography, diffusion tensor imaging, q-ball imaging, diffusion mri, data processing, analysis, visualization, connectomics, fiber tractography, tract post processing, glyph visualization, tensor reconstruction, q-ball reconstruction, scalar index, connectivity analysis, image reconstruction, modeling, quantification, segmentation, fiber tracking, macos, windows, os independent, linux, c++, dicom, nifti-1, nrrd, other format |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: Diffusion MRI of Traumatic Brain Injury has parent organization: German Cancer Research Center |
PMID:23038239 | Most of it, Simplified BSD License | nlx_153917 | http://www.nitrc.org/projects/mitk-diffusion | SCR_006846 | SciCrunch Registry | MITK Diffusion Imaging | 2026-10-31 12:14:29 | 3 | |||||
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Diffusion Tensor Imaging ToolKit Resource Report Resource Website 10+ mentions |
Diffusion Tensor Imaging ToolKit (RRID:SCR_001642) | DTI-TK | data processing software, image analysis software, software application, software resource, software toolkit | A spatial normalization and atlas construction toolkit optimized for examining white matter morphometry using DTI data with special care taken to respect the tensorial nature of the data. It implements a state-of-the-art registration algorithm that drives the alignment of white matter (WM) tracts by matching the orientation of the underlying fiber bundle at each voxel. The algorithm has been shown to both improve WM tract alignment and to enhance the power of statistical inference in clinical settings. A 2011 study published in NeuroImage ranks DTI-TK the top-performing tool in its class. Key features include: * open standard-based file IO support: NIfTI format for scalar, vector and tensor image volumes * tool chains for manipulating tensor image volumes: resampling, smoothing, warping, registration & visualization * pipelines for WM morphometry: spatial normalization & atlas construction for population-based studies * built-in cluster-computing support: support for open source Sun Grid Engine (SGE) * Interoperability with other popular DTI tools: AFNI, Camino, FSL & DTIStudio * Interoperability with ITK-SNAP: support multi-modal visualization and segmentation | dti, visualization, segmentation, resampling, smoothing, warping, registration, spatial normalization, atlas construction, analysis, atlas application, intersubject, image-to-template, analyze, nifti-1, macos, linux |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: Diffusion MRI of Traumatic Brain Injury is related to: Camino is related to: MRI Studio has parent organization: University of Pennsylvania; Philadelphia; USA has parent organization: SourceForge |
NIBIB 1R03EB009321-01 | Free, Available for download, Freely available | nlx_153914 | http://www.nitrc.org/projects/dtitk | SCR_001642 | SciCrunch Registry | 2026-10-31 12:12:54 | 25 | ||||||
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CellFinder Resource Report Resource Website 10+ mentions |
CellFinder (RRID:SCR_006598) | CellFinder | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | Database of mapped validated gene and protein expression, phenotype and images related to cell types. The data allow characterization and comparison of cell types and can be browsed by using the body browser and by searching for cells or genes. All cells are related to more complex systems such as tissues, organs and organisms and arranged according to their position in development. CellFinder provides long-term data storage for validated and curated primary research data and provides additional expert-validation through relevant information extracted from text. Operated under the Open Source/Access model, community and scientific networking applications will allow users to store and retrieve their data and to explore cells and their interactions on singular and complex resolution levels. The involvement of stem cell registries and banks will allow direct access to selected cells. The set up the stem cell data repository will involve three lines of action: * the acquisition of scientific data and contents * the standardized description of this data, its organization with the help of ontologies and technical implementation * the integration of existing sources/logistics and to ensure sustainable long-term operation | cell, gene expression, protein expression, phenotype, image, gene, stem cell, cellome, metadata standard, stem cell therapy, differential expression, protein, cell type, development, adrenal gland, gall bladder, intestine, inferior vena cava, kidney, liver, spleen |
is related to: Allen Institute for Brain Science has parent organization: Charite - Universitatsmedizin Berlin; Berlin; Germany is parent organization of: CELDA Ontology |
BMBF ; DFG |
PMID:23599415 | nlx_153857 | SCR_006598 | SciCrunch Registry | Cell Finder | 2026-10-31 12:14:25 | 31 | ||||||
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Camino Resource Report Resource Website 50+ mentions |
Camino (RRID:SCR_001638) | Camino | data processing software, image processing software, software application, software resource, software toolkit | Free, open-source, object-oriented software package for analysis and reconstruction of Diffusion MRI data, tractography and connectivity mapping. The toolkit implements standard techniques, such as diffusion tensor fitting, mapping fractional anisotropy and mean diffusivity, deterministic and probabilistic tractography. It also contains more specialized and cutting-edge techniques, such as Monte-Carlo diffusion simulation, multi-fibre and HARDI reconstruction techniques, multi-fibre PICo, compartment models, and axon density and diameter estimation. Camino has a modular design to enable construction of processing pipelines that include modules from other software packages. The toolkit is primarily designed for unix platforms and structured to enable simple scripting of processing pipelines for batch processing. Most users use linux, MacOS or a unix emulator like cygwin running under windows. However, the core code is written in Java and thus is simple to call from other platforms and programming environments, such as matlab running under unix or windows. | diffusion mri, reconstruction, processing, dti, tractography, connectivity mapping |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: Diffusion MRI of Traumatic Brain Injury is related to: CAMINO-TRACKVIS is related to: Diffusion Tensor Imaging ToolKit has parent organization: University College London; London; United Kingdom |
Free, Available for download, Freely available | nlx_153907 | http://www.nitrc.org/projects/camino | SCR_001638 | SciCrunch Registry | UCL Camino Diffusion MRI Toolkit | 2026-10-31 12:12:54 | 63 | ||||||
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BioBank Central Resource Report Resource Website |
BioBank Central (RRID:SCR_008645) | BioBank Central | biospecimen repository, material storage repository, service resource, storage service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on March 27, 2013. Web-based portal to connect all the constituencies in the global biobank community. The project seeks to increase the transparency and accessibility of the scientific research process by connecting researchers with an additional source of funding - microinvestments received from the broader online community. In exchange for these public investments, researchers will maintain research logs detailing the play-by-play progress made in their project, as well as publishing all of their data in a public database under a science commons license. These research projects, in turn, will serve to continually update a research-based neuroscience-based human brain & body curriculum. Biobanks are the meeting point of two major information trends in biomedical research: the generation of huge amounts of genomic and other laboratory data, and the electronic capture and integration of patient clinical records. They are comprised of large numbers of human biospecimens supplemented with clinical data. Biobanks when implemented effectively can harness the power of both genomic and clinical data and serve as a critical bridge between basic and applied research, linking laboratory to patient and getting to cures faster. As science and technology leaders work to address the many challenges facing U.S. biobanks logistical, technical, ethical, financial, intellectual property, and IT BioBank Central will serve as an accurate and timely source of knowledge and news about biorepositories and their role in research and drug development. The Web site also provides a working group venue, patient and public education programs, and a forum for international collaboration and harmonization of best practices. | biobank, community, biomedical, data, genomic, integration, patient, clinical, human, biospecimen, science, technology, biorepository, drug, development, education | has parent organization: Open Source Science Project | FasterCures ; Feinstein Kean Healthcare ; IBM Healthcare and Life Sciences ; Affymetrix ; Bioaccelerate Holdings Inc. ; Invitrogen Corporation |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-32933 | SCR_008645 | SciCrunch Registry | 2026-10-31 12:14:54 | 0 |
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