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http://fcon_1000.projects.nitrc.org/indi/pro/BeijingShortTR.html

Dataset of resting state fMRI scans obtained using two different TR's in healthy college-aged volunteers. Specifically, for each participant, data is being obtained with a short TR (0.4 seconds) and a long TR (2.0 seconds). In addition this dataset contains a 64-direction DTI scan for every participant. The following data are released for every participant: * 8-minute resting-state fMRI scan (TR = 2 seconds, # repetitions = 240) * 8-minute resting-state fMRI scans (TR = 0.4 seconds, # repetitions = 1200) * MPRAGE anatomical scan, defaced to protect patient confidentiality * 64-direction diffusion tensor imaging scan (2mm isotropic) * Demographic information

Proper citation: Beijing: Short TR Study (RRID:SCR_003502) Copy   

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http://fcon_1000.projects.nitrc.org/indi/pro/Quiron-Valencia.html

Resting state datasets, including an anatomical as well as a resting state fMRI scan, collected from a community sample in Valencia, Spain. The first release includes data for 45 participants. Participants were instructed to keep their eyes open during the resting state scan, no visual stimulus was presented. The following data are released for every participant: * Scanner Type: Philips Achieva 3T-TX * One high-resolution T1-weighted mprage, defaced to protect patient confidentiality * At least one 6-minute resting state fMRI scan (R-fMRI), eyes open, no visual stimulus presented * Demographic Information

Proper citation: Quiron-Valencia Sample (RRID:SCR_003538) Copy   

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http://www.linked-neuron-data.org/

Neuroscience data and knowledge from multiple scales and multiple data sources that has been extracted, linked, and organized to support comprehensive understanding of the brain. The core is the CAS Brain Knowledge base, a very large scale brain knowledge base based on automatic knowledge extraction and integration from various data and knowledge sources. The LND platform provides services for neuron data and knowledge extraction, representation, integration, visualization, semantic search and reasoning over the linked neuron data. Currently, LND extracts and integrates semantic data and knowledge from the following resources: PubMed, INCF-CUMBO, Allen Reference Atlas, NIF, NeuroLex, MeSH, DBPedia/Wikipedia, etc.

Proper citation: Linked Neuron Data (RRID:SCR_003658) Copy   

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http://www.cs.tau.ac.il/~shlomito/tissue-net/

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. Network visualizations in which the expression and predicted flux data are projected over the global human network. These network visualizations are accessible through the supplemental website using the publicly available Cytoscape software (Cline, Smoot et al. 2007). Since many high degree nodes exist in the network, special layouts are required to produce network visualizations that are readily interpretable. To this end we produced network visualizations in which hub nodes are repeated multiple times and hence layouts with a small number of edge crossings can be generated. Contains entries for brain compartments and brain pathways.

Proper citation: Network-based Prediction of Human Tissue-specific Metabolism (RRID:SCR_007392) Copy   

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http://nac.spl.harvard.edu/

Biomedical Technology Resource Center that develops image processing and analysis techniques for basic and clinical neurosciences. The NAC research approach emphasizes both specific core technologies and collaborative application projects. The core activity of the center is the development of algorithms and techniques for postprocessing of imaging data. New segmentation techniques aid identification of brain structures and disease. Registration methods are used for relating image data to specific patient anatomy or one set of images to another. Visualization tools allow the display of complex anatomical and quantitative information. High-performance computing hardware and associated software techniques further accelerate algorithms and methods. Digital anatomy atlases are developed for the support of both interactive and algorithmic computational tools. Although the emphasis of the NAC is on the dissemination of concepts and techniques, specific elements of the core software technologies have been made available to outside researchers or the community at large. The NAC's core technologies serve the following major collaborative projects: Alzheimer's disease and the aging brain, morphometric measures in schizophrenia and schizotypal disorder, quantitative analysis of multiple sclerosis, and interactive image-based planning and guidance in neurosurgery. One or more NAC researchers have been designated as responsible for each of the core technologies and the collaborative projects.

Proper citation: Neuroimage Analysis Center (RRID:SCR_008998) Copy   

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https://confluence.crbs.ucsd.edu/display/NIF/StemCellInfo

Data tables providing an overview of information about stem cells that have been derived from mice and humans. The tables summarize published research that characterizes cells that are capable of developing into cells of multiple germ layers (i.e., multipotent or pluripotent) or that can generate the differentiated cell types of another tissue (i.e., plasticity) such as a bone marrow cell becoming a neuronal cell. The tables do not include information about cells considered progenitor or precursor cells or those that can proliferate without the demonstrated ability to generate cell types of other tissues. The tables list the tissue from which the cells were derived, the types of cells that developed, the conditions under which differentiation occurred, the methods by which the cells were characterized, and the primary references for the information.

Proper citation: National Institutes of Health Stem Cell Tables (RRID:SCR_008359) Copy   

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

A free collection of MRI brain images for testing segmentation algorithms. It is available for download to assess the accuracy, reproducibility and sensitivity of MRI segmentation software. It includes data from infants and adults as well as patients with Alzheimer's disease.

Proper citation: Brain Segmentation Testing Protocol (RRID:SCR_009445) Copy   

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https://imaging.uci.edu/fibre/

Facility for Imaging and Brain Research houses 3T Siemens Prisma scanner, mock scanner, and data analysis facilities. Research dedicated MRI scanning facility designed to suit wide range of basic and translational research programs by researchers across the UCI campus and beyond.

Proper citation: University of California at Irvine FIBRE Core Facility (RRID:SCR_027777) Copy   

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https://bican.mccarrolllab.org/app/bican?_inputs_&geneList=%22XIST%20PDE10A%20%20PENK%20PDYN%22&navbarPage=%22panelGeneExpr%22&plotExpressionButton=0&exprPlotUseCommonYScale=true&cellTypeSelector=%5B%22MSN%22%2C%22MSN_D1%22%2C%22MSN_D2%22%2C%22MSN_D1_matrix%22%2C%22MSN_D2_matrix%22%2C%22MSN_D1_striosome%22%2C%22MSN_D2_striosome%22%5D&exprPlotRegionSelector=%22Pu%22&GeneExprPlot_hover=null

Project provides data currently generated with support from the NIH Brain Initiative Cell Atlas Network (BICAN). Broad Institute collaboration supported by the NIH BRAIN Initiative, to create comprehensive atlas of cellular variation in the healthy human brain. It maps data from millions of cells across diverse individuals to understand how brain biology differs, helping researchers distinguish healthy variation from disease states.

Proper citation: Human Brain Variation Project (RRID:SCR_028065) Copy   

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https://github.com/SCANDAN-Team/SCANDAN-DICOM-labelling

Software tool for rules for DICOM tag based labelling. Regular expression used during the SCANDAN project to label MRI scans based on DICOM tag.

Proper citation: SCANDAN-DICOM-labelling (RRID:SCR_028365) Copy   

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https://marmotgraph.org

Knowledge graph system developed for managing and organizing rich metadata objects, initially for the Human Brain Project (HBP) and now extended to be a more generic, domain-agnostic solution. It is associated with CSCS (Swiss National Supercomputing Centre) and aims to provide a comprehensive toolset and API for working with knowledge graphs.

Proper citation: MarmotGraph (RRID:SCR_027452) Copy   

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http://www.nature.com/jcbfm/index.html

The Journal of Cerebral Blood Flow & Metabolism stands at the interface between basic and clinical neurovascular research, and features timely and relevant research highlighting experimental, theoretical, and clinical aspects of brain circulation, metabolism and imaging. The journal is relevant to any physician or scientist with an interest in brain function, cerebrovascular disease, cerebral vascular regulation and brain metabolism, including neurologists, neurochemists, physiologists, pharmacologists, anesthesiologists, neuroradiologists, neurosurgeons, neuropathologists and neuroscientists. On this website, you will find the full text of articles published online weekly, in advance of print, the current issue and an archive of previous issues. You can also find general information about the journal, and more detailed information for readers, authors, referees, librarians, advertisers, and journalists. Most articles are published online before they appear in print. New papers are uploaded weekly to the Advance online publication (AOP) page. The online publication date is specified for each paper; these versions are identical to the printed version in every respect and may be cited using the digital object identifier (DOI).

Proper citation: Journal of Cerebral Blood Flow and Metabolism (RRID:SCR_001769) Copy   

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http://neuroimage.usc.edu/brainstorm/

Software as collaborative, open source application dedicated to analysis of brain recordings: MEG, EEG, fNIRS, ECoG, depth electrodes and animal invasive neurophysiology. User-Friendly Application for MEG/EEG Analysis.

Proper citation: Brainstorm (RRID:SCR_001761) Copy   

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http://dynamicbrain.neuroinf.jp/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on January 19. 2022. Platform to promote studies on dynamic principles of brain functions through unifying experimental and computational approaches in cellular, local circuit, global network and behavioral levels. Provides services such as data sets, popular research findings and articles and current developments in field. This site has been archived since FY2019 and is no longer updated.

Proper citation: Dynamic Brain Platform (RRID:SCR_001754) Copy   

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http://cmbn-approd01.uio.no/nesys/

Public neuroscience database providing a collection of published data describing structure and structure-function relationships in one of the largest projection systems of the brain: the cerebro-cerebellar system. It also gives access to a suite of tools that allow the user to visualize and analyze any selected combination of data sets. Contact them if you are interested in contributing data. The overall goal is to improve communication of results and permit re-use of previously published data in new contexts. FACCS is a part of the Rat Brain WorkBench, a new research and development project funded by The Research Council of Norway, the Centre for Molecular Biology and Neuroscience, and the European Union. The project is directed by Jan G. Bjaalie, Centre for Molecular Biology and Neuroscience & Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.

Proper citation: Functional Anatomy of the Cerebro-Cerebellar System (FACCS) (RRID:SCR_001661) Copy   

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https://lcn.salk.edu/WSMain.html

The Salk Institute's Laboratory for Cognitive Neuroscience (LCN) is dedicated to the study of the neural and genetic underpinnings of language and cognition. The LCN organizes its resources into two research foci: Linking Gene, Brain, and Cognition, and Language, Modality and the Brain. Linking Gene, Brain, and Cognition: Behavioral Neurogenetics: - This research is designed to increase the understanding of genetically based disorders, to investigate the consequences of genetic alterations on the development of the brain, and to explore the resulting alteration of cognitive capabilities. Language, Modality, and the Brain: - The focus of this research is to obtain a greater understanding of how language and cognition are represented in the brain. Sponsors: This resource is supported by LCN.

Proper citation: Salk Institute for Medical Research: Laboratory for Cognitive Neuroscience (RRID:SCR_001851) Copy   

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http://qnl.bu.edu/obart

Tool that provides an interactive method to examine quantitative relationships between brain regions defined by different digital atlases or parcellation methods. Its current focus is for human brain imaging, though the techniques generalize to other domains. The method offers a quantitative answer to the nomenclature problem in neuroscience by comparing brain parts on the basis of their geometrical definitions rather than on the basis of name alone. Thus far these tools have been used to quantitatively compare eight distinct parcellations of the International Consortium for Brain Mapping (ICBM) single-subject template brain, each created using existing atlasing methods. This resources provides measures of global and regional similarity, and offers visualization techniques that allow users to quickly identify the correspondences (or lack of correspondences) between regions defined by different atlases.

Proper citation: OBART (RRID:SCR_001903) Copy   

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http://flybrain.stanford.edu/

Project content including raw image data, neuronal tracings, image registration tools and analysis scripts covering three manuscripts: Comprehensive Maps of DrosophilaHigher Olfactory Centres : Spatially Segregated Fruit and Pheromone Representation which uses single cell labeling and image registration to describe the organization of the higher olfactory centers of Drosophila; Diversity and wiring variability of olfactory local interneurons in the Drosophila antennal lobe which uses single cell labeling to describe the organization of the antennal lobe local interneurons; and Sexual Dimorphism in the Fly Brain which uses clonal analysis and image registration to identify a large number of sex differences in the brain and VNC of Drosophila. Data * Raw Data of Reference Brain (pic, amira) (both seed and average) * Label field of LH and MB calyx and surfaces for these structures * Label field of neuropil of Reference Brain * Traces (before and after registration). Neurolucida, SWC and AmiraMesh lineset. * MB and LH Density Data for different classes of neuron. In R format and as separate amira files. * Registration files for all brains used in the study * MBLH confocal images for all brains actually used in the study (Biorad pic format) * Sample confocal images for antennal lobe of every PN class * Confocal stacks of GABA stained ventral PNs Programs * ImageJ plugins (Biorad reader /writer/Amira reader/writer/IGS raw Reader) * Binary of registration, warp and gregxform (macosx only, others on request) * Simple GUI for registration tools (macosx only at present) * R analysis/visualization functions * Amira Script to show examples of neuronal classes The website is a collaboration between the labs of Greg Jefferis and Liqun Luo and has been built by Chris Potter and Greg Jefferis. The core Image Registration tools were created by Torsten Rohlfing and Calvin Maurer.

Proper citation: Flybrain at Stanford (RRID:SCR_001877) Copy   

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http://www.yerkes.emory.edu/

Center for advancing scientific understanding and improving the health and well-being of humans and nonhuman primates. The Center conducts research in microbiology and immunology, neurologic diseases, neuropharmacology, behavioral, cognitive and developmental neuroscience, and psychiatric disorders.

Proper citation: Yerkes National Primate Research Center (RRID:SCR_001914) Copy   

•   Source: SciCrunch Registry

http://bmi.neuroinf.jp/

Databases of accumulating BMI (Brain Machine Interfaces)-related experimental data, mathematical models, and tools generated in neuroscience, computational theory, and robotics. Databases include: # Database of BMI (Brain Machine Interfaces)-related papers: More than 3500 BMI-related papers are registered. Each paper has original tags, for example, recording method and subject, for easy searching. # Database of original contents: BMI-related materials (Movie, Picture, Data, Program) provided by scientists. # Database of BMI-related research sites: 185 BMI-related research sites in the world (university, institute and company) are registered. The research site can be searched either by the location using clickable map or by the field of interest. # Database of BMI-related materials: Links to BMI-related materials (Movie, Picture, Document, Data, Program) are listed. You can easily find materials of your interest since each material is classified into research field. # BMI-related column: The columns are written by researchers specialized in BMI. Original contents include: * Neuronal activity during performance of a memory-guided movement * Reconstructed visual images from human fMRI activity * fMRI data and program for visual image reconstruction * Brain sections of monkeys, stained for several gene markers * Cortical Box Method: The Cortical box method is an analytical method that standardizes the serial coronal sections of rodent cortex for quantitative analysis. * Multineuron activity in monkey prefrontal cortex * Monkey Atlas: **Brain sections of monkeys, stained for AChE, ER81 mRNA and Sema3E mRNA - These pictures are low-resolution photos of serial brain sections of monkeys, stained for AChE as well as for ER81 and Sema3E mRNAs. The compressed file contains JPEG photos and html files for web browser navigation. Other materials are available at our website BraInSitu dedicated for in situ hybridization resources for brains. BraInSitu http://www.nibb.ac.jp/brish/indexE.html ** MRI Brain Atlas of Japanese Snow Monkey (Macaca Fuscata) at different ages - MRI Brain Atlas of Japanese Snow Monkey (Macaca Fuscata) at different ages ** The Stereotaxic MRI Brain Atlas of Japanese Snow Monkey - The Stereotaxic MRI Brain Atlas of Japanese Snow Monkey * Monkey M1 BMI ** m-file for checking the results of wrist angle estimation- This program is m-file to train the relationship between joint angles and EMG signals using artificial neural network. The input signals are four EMG signals and the output signals are joint angles of wrist, such as flexion/extension, radial deviation/uln ** m-file for training of wrist angle estimation -This program is m-file to train the relationship between joint angles and EMG signals using artificial neural network. The input signals are four EMG signals and the output signals are joint angles of wrist, such as flexion/extension, radial deviation/ulnar deviation.ar deviation. ** M1 Neuronal Activity during monkey performing a motor task - video/x-ms-wmv ** Muscle tension - To estimate muscle tension from raw emg signal ** raw EMG signal - Raw EMG signal for 5 seconds ** training data of wrist angle and emg signal - This program is m-file to train the relationship between joint angles and EMG signals using artificial neural network. The input signals are four EMG signals and the output signals are joint angles of wrist, such as flexion/extension, radial deviation/ulnar deviation. ** Weight file of neural network - This program is m-file to train the relationship between joint angles and EMG signals using artificial neural network. The input signals are four EMG signals and the output signals are joint angles of wrist, such as flexion/extension, radial deviation/ulnar deviation. * Multineuron activity in monkey prefrontal cortex: Multineuron activity in monkey prefrontal cortex recorded by 3 tetrodes. Vertical 4 lines indicate one tetrode. Adjacent tetrodes are around 500 micron apart to each other.

Proper citation: Brain Machine Interface Platform (RRID:SCR_001813) Copy   

•   Source: SciCrunch Registry