Tools   Select Another Resource Report Type

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

https://voxelmorph.net

Software tool for joint surface based registration and atlas construction of brain geometry and function.Cortical registration framework that jointly models mismatch between geometry and function while simultaneously learning unbiased population specific atlas.

Proper citation: JOSA (RRID:SCR_024756) Copy   

•   Source: SciCrunch Registry

https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/FLIRT

Sotware automated robust and accurate tool for linear (affine) intra- and inter-modal brain image registration.

Proper citation: FMRIB's Linear Image Registration Tool (RRID:SCR_024922) Copy   

•   Source: SciCrunch Registry

https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/XTRACT

Software command line tool for automated tractography. Standardised protocols for automated tractography in human and macaque brain.

Proper citation: XTRACT (RRID:SCR_024933) Copy   

•   Source: SciCrunch Registry

https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/verbena

Software tool for quantification of perfusion and other haemodynamic parameters from Dynamic Susceptibility Contrast perfusion MRI of the brain.

Proper citation: VERBENA (RRID:SCR_024919) Copy   

•   Source: SciCrunch Registry

https://www.uni.lu/lcsb-en/

Research institute in Esch-sur-Alzette, Luxembourg to study brain and its diseases. Collaboration between biologists, medical and computer scientists, physicists, engineers as well as mathematicians offers new insights into complex biological mechanisms and disease processes, with the aim of developing new tools for diagnostics, prevention, and therapy. LCSB has established strategic partnerships with scientific partners worldwide and with all major biomedical research units in Luxembourg. Carries out collaborative projects with hospitals and research-oriented companies, accelerating translation of fundamental research results into clinical applications.

Proper citation: Luxembourg Centre for Systems Biomedicine (RRID:SCR_026168) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

http://www.ndgo.net/sfn/nerve/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 17, 2013. Society for Neuroscience (SfN) provides this Web site, Neuroscience Education Resources Virtual Encycloportal (NERVE), to advance neuroscience teaching and educational efforts. SfN is a nonprofit association of more than 38,000 researchers and professionals, believes K-12 educators and vital partners for engaging the next generation of researchers. NERVE gives access to information and tools for teaching about the nervous system and related health issues. The goal of NERVE is to provide a gateway to credible information from government, nonprofit and other respected sources. Society scientists and educators have reviewed information for appropriateness but responsibility for content remains that of the originating author or organizations. NERVE gives access to information and tools for teaching about the nervous system and related health issues.

Proper citation: Neuroscience Education Resources Virtual Encycloportal (RRID:SCR_002897) Copy   

•   Source: SciCrunch Registry

http://www.brainscape.org/

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.

Proper citation: Brainscape (RRID:SCR_002962) Copy   

•   Source: SciCrunch Registry

http://www.cephalopod.org/DBMR.cfm

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 17, 2013. The center serves the biomedical research community's increased needs for alternative invertebrate models by maintaining a consistent year-round supply of live cephalopod mollusks. These animals are suitable for a wide range of physiological and molecular biological investigations. Investigations are being conducted in the area of life history related to improved animal husbandry. Further studies focus on improving culture system design through development of computer automation and innovative water filtration technology. Current biomedical research on cephalopods includes neurophysiology of the giant axon; anatomy and neurophysiology of the equilibrium receptor organ as a comparative model of the vestibular system of invertebrates; chemoreception, basic nutrition, and protein metabolism; cellular receptor function; and brain, behavior, and learning. Services Provided: The center has built a computer-automated, environmentally controlled, recirculating seawater laboratory for the purpose of culturing cephalopods. The tank systems can be used to conduct a variety of experiments never before possible with cephalopods. Visiting researchers have access to dedicated facilities, including wet and dry laboratory space, office space, computer support and accommodations, as well as priority access to all available live animal resources. Off-site investigators can have live animals, dissected animal tissues/body fluids from all life stages, and a variety of molecular reagents (gene libraries and clones) delivered year-round. Staff expertise and an extensive literature library are available. All life stages of the squid (Sepioteuthis lessoniana) and the common cuttlefish (Sepia officinalis) are available year-round from laboratory culture populations. The sepiolid squid (Euprymna scolopes) can also be cultured on request. The squid Lolliguncula brevis is available year-round from local waters; the squids Loligo opalescens, L. pealeii, and L. plei can be obtained seasonally on request. The chambered nautilus, Nautilus pompilius, and Octopus bimaculoides are available on request. Animal costs vary by species and size. Any tissue or body fluid from these animals can also be provided. Fees for special services are negotiated on a case-by-case basis.

Proper citation: National Resource Center for Cephalopods (RRID:SCR_002864) Copy   

•   Source: SciCrunch Registry

http://senselab.med.yale.edu/neurondb

Database of three types of neuronal properties: voltage gated conductances, neurotransmitter receptors, and neurotransmitter substances. It contains tools that provide for integration of these properties in a given type of neuron and compartment, and for comparison of properties across different types of neurons and compartments.

Proper citation: NeuronDB (RRID:SCR_003105) Copy   

•   Source: SciCrunch Registry

http://www.mrc-cbu.cam.ac.uk/Imaging

Portal where neuroimaging studies are carried out using a Siemens 3T Tim Trio Magnetic Resonance Imaging (or MRI) scanner that is wholly dedicated to studies in Cognitive Neuroscience. From emotions and memories to language and learning, functional neuroimaging is being applied in many different areas of Cognitive Neuroscience. In many cases, this research relies upon support from healthy volunteers although neuroimaging studies are also being conducted in various clinical populations, including depression, anxiety, Parkinson's disease and Alzheimer's disease.

Proper citation: CBU Imaging Wiki (RRID:SCR_003014) Copy   

•   Source: SciCrunch Registry

http://trans.nih.gov/bmap/resources/resources.htm

As part of BMAP gene discovery efforts, mouse brain cDNA libraries and Expressed Sequence Tags (ESTs) have been generated. Through this project a BMAP mouse brain UniGene set consisting of over 24,000 non-redundant members of unique clusters has been developed from EST sequencing of more than 50,000 cDNA clones from 10 regions of adult mouse brain, spinal cord, and retina (http://brainEST.eng.uiowa.edu/). In 2001, NIMH along with NICHD, NIDDK, and NIDA, awarded a contract to the University of Iowa ( M.B. Soares, PI) to isolate full-length cDNA clones corresponding to genes expressed in the developing mouse nervous system and determine their full-coding sequences. The BMAP mouse brain EST sequences can be accessed at NCBI's dbEST database (http://www.ncbi.nlm.nih.gov/dbEST/). Arrayed sets of BMAP mouse brain UniGenes and cDNA libraries, and individual BMAP cDNA clones can be purchased from Open Biosystems, Huntsville, AL (http://www.openbiosystems.com

Proper citation: BMAP cDNA Resources (RRID:SCR_002973) Copy   

•   Source: SciCrunch Registry

http://bluebrain.epfl.ch/

A Swiss-led project with the aim of reverse engineering the mammalian brain and achieving a complete virtual human brain. The researchers have demonstrated the validity of their method by developing a realistic model of a rat cortical column, consisting of about 10,000 neurons. The eventual goal is to simulate systems of millions and hundreds of millions of neurons. The virtual brain will be an exceptional tool giving neuroscientists a new understanding of the brain and a better understanding of neurological diseases. In five years of work, Henry Markram's team has perfected a facility that can create realistic models of one of the brain's essential building blocks. This process is entirely data driven and essentially automatically executed on the supercomputer. Meanwhile the generated models show a behavior already observed in years of neuroscientific experiments. These models will be basic building blocks for larger scale models leading towards a complete virtual brain.

Proper citation: Blue Brain Project (RRID:SCR_002994) Copy   

•   Source: SciCrunch Registry

http://www.macbrain.org/

Portal on how the experiences of early childhood are incorporated into the structures of the developing brain, and how, in turn, those changes in the structures of the brain influence behavior. The network explores how knowledge of brain development can guide us in understanding of behavioral development and vice versa. It focuses specifically on sensitive periods and neural plasticity, the reciprocal phenomena whereby (a) the brain is negatively affected if certain experiences fail to occur within a certain time period, and (b) the brain is altered by experience at virtually any point in the life span. Here we consider not only how the structure of experience is incorporated into the structure of the brain, but also how this knowledge can influence the decisions we make about intervening in the lives of children. Research and other projects conducted by the Network fall into four broad categories: * Effects of early experience on brain development * New methods for studying brain-behavior relations * Comparative studies of early brain-behavioral development * Impact on public policy: Educating educators and the media RESOURCES NimStim Face Stimulus Set The Research Network on Early Experience and Brain Development has developed a battery of 646 facial expression stimuli for use in its own and other studies of face and emotion recognition. Images include the following expressions, displayed by a variety of models of various genders and races: fearful, happy, sad, angry, surprised, calm, neutral, disgusted. They are making these stimuli available to the public free of charge with registration and acceptance of the terms and conditions to use the stimulus set.

Proper citation: Research Network in Early Experience and Brain Development (RRID:SCR_003271) Copy   

•   Source: SciCrunch Registry

http://genome.ucsc.edu/cgi-bin/hgVisiGene

Virtual microscope for viewing in situ images that show where a gene is used in an organism, sometimes down to cellular resolution. The user can examine cell-by-cell as well as tissue-by-tissue expression patterns. Users can retrieve images that meet specific search criteria, then interactively zoom and scroll across the collection. Image set contributions are welcome. The following image collections are currently available for browsing: * High-quality high-resolution images of eight-week-old male mouse sagittal brain slices with reverse-complemented mRNA hybridization probes from the Allen Brain Atlas, courtesy of the Allen Institute for Brain Science * Mouse in situ images from the Jackson Lab Gene Expression Database (GXD) at MGI * Transcription factors in mouse embryos from the Mahoney Center for Neuro-Oncology * Mouse head and brain in situ images from NCBI''''s Gene Expression Nervous System Atlas (GENSAT) database * Xenopus laevis in situ images from the National Institute for Basic Biology (NIBB) XDB project

Proper citation: VisiGene Image Browser (RRID:SCR_003341) Copy   

•   Source: SciCrunch Registry

http://braintrap.inf.ed.ac.uk/braintrap/

This database contains information on protein expression in the Drosophila melanogaster brain. It consists of a collection of 3D confocal datasets taken from EYFP expressing protein trap Drosophila lines from the Cambridge Protein Trap project. Currently there are 884 brain scans from 535 protein trap lines in the database. Drosophila protein trap strains were generated by the St Johnston Lab and the Russell Lab at the University of Cambridge, UK. The piggyBac insertion method was used to insert constructs containing splice acceptor and donor sites, StrepII and FLAG affinity purification tags, and an EYFP exon (Venus). Brain images were acquired by Seymour Knowles-Barley, in the Armstrong Lab at the University of Edinburgh. Whole brain mounts were imaged by confocal microscopy, with a background immunohistochemical label added to aid the identification of brain structures. Additional immunohistochemical labeling of the EYFP protein using an anti-GFP antibody was also used in most cases. The trapped protein signal (EYFP / anti-GFP), background signal (NC82 label), and the merged signal can be viewed on the website by using the corresponding channel buttons. In all images the trapped protein / EYFP signal appears green and the background / NC82 channel appears magenta. Original .lsm image files are also available for download.

Proper citation: BrainTrap: Fly Brain Protein Trap Database (RRID:SCR_003398) Copy   

•   Source: SciCrunch Registry

http://irc.cchmc.org/software/pedbrain.php

Brain imaging data collected from a large population of normal, healthy children that have been used to construct pediatric brain templates, which can be used within statistical parametric mapping for spatial normalization, tissue segmentation and visualization of imaging study results. The data has been processed and compiled in various ways to accommodate a wide range of possible research approaches. The templates are made available free of charge to all interested parties for research purposes only. When processing imaging data from children, it is important to take into account the fact that the pediatric brain differs significantly from the adult brain. Therefore, optimized processing requires appropriate reference data be used because adult reference data will introduce a systematic bias into the results. We have shown that, in the in the case of spatial normalization, the amount of non-linear deformation is dramatically less when a pediatric template is used (left, see also HBM 2002; 17:48-60). We could also show that tissue composition is substantially different between adults and children, and more so the younger the children are (right, see also MRM 2003; 50:749-757). We thus believe that the use of pediatric reference data might be more appropriate.

Proper citation: CCHMC Pediatric Brain Templates (RRID:SCR_003276) Copy   

•   Source: SciCrunch Registry