Searching across hundreds of databases

Our searching services are busy right now. Your search will reload in five seconds.

  • Register
X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X

Leaving Community

Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.

No
Yes
on page 1 showing 20 out of 70 results from 1 sources

Cite this (Aged Rodent Tissue Arrays, RRID:SCR_007332)

URL: http://www.nia.nih.gov/research/dab/aged-rodent-tissue-bank-handbook/tissue-arrays

Resource Type: Resource, biomaterial analysis service, analysis service resource, service resource, production service resource, material analysis service

Offer high-throughput analysis of tissue histology and protein expression for the biogerontology research community. Each array is a 4 micron section that includes tissue cores from multiple tissues at multiple ages on one slide. The arrays are made from ethanol-fixed tissue and can be used for all techniques for which conventional tissue sections can be used. Ages are chosen to span the life from young adult to very old age. (available ages: 4, 12, 18, 24 and 28 months of age) Images of H&E stained punches are available for Liver, Cardiac Muscle, and Brain. The NIA aged rodent tissue arrays were developed with assistance from the National Cancer Institute (NCI) Tissue Array Research Program (TARP), led by Dr. Stephen Hewitt, Director. NCI TARP contains more information on tissue array construction, protocols for using arrays, and references. Preparation and Product Description Tissue arrays are prepared in parallel from different sets of animals so that experiments can be conducted in duplicate, with each array using unique animals with a unique product number. The product descriptions page describes each array, including: * Strain * Gender * Ages * Tissues * Animal Identification Numbers

  • From Current Category

Cite this (Aging Cell Repository, RRID:SCR_007320)

URL: http://ccr.coriell.org/nia/

Resource Type: Resource, database, biomaterial supply resource, biospecimen repository, service resource, storage service resource, cell repository, material storage repository, material resource, data or information resource

A cell repository containing cells and DNA for studies of aging and the degenerative processes associated with it. Scientists use the highly-characterized, viable, and contaminant-free cell cultures from this collection for research on such diseases as Alzheimer's disease, progeria, Parkinson's disease, Werner syndrome, and Cockayne syndrome. The collections of the Repository include DNA and cell cultures from individuals with premature aging disorders, as well as DNA from individuals of advanced age from the the Baltimore Longitudinal Study of Aging at the Gerontology Research Center and other Longevity Collections. The Repository also includes samples from an Adolescent Study of Obesity, Apparently Healthy Controls, Animal Models of Aging, and both human and animal differentiated cell types. The cells in this resource have been collected over the past three decades using strict diagnostic criteria and banked under the highest quality standards of cell culture. Scientists can use the highly-characterized, viable, and contaminant-free cell cultures from this collection for genetic and cell biology research.

  • From Current Category

Cite this (Antibody Registry, RRID:SCR_006397)

URL: http://antibodyregistry.org/

Resource Type: Resource, service resource, data or information resource, data repository, storage service resource, database

Public registry of antibodies with unique identifiers for commercial and non-commercial antibody reagents to give researchers a way to universally identify antibodies used in publications. The registry contains antibody product information organized according to genes, species, reagent types (antibodies, recombinant proteins, ELISA, siRNA, cDNA clones). Data is provided in many formats so that authors of biological papers, text mining tools and funding agencies can quickly and accurately identify the antibody reagents they and their colleagues used. The Antibody Registry allows any user to submit a new antibody or set of antibodies to the registry via a web form, or via a spreadsheet upload.

  • From Current Category

Cite this (Biological Biochemical Image Database, RRID:SCR_003474)

URL: http://bbid.irp.nia.nih.gov/

Resource Type: Resource, database, image collection, service resource, storage service resource, image repository, data repository, data or information resource

Database of images of putative biological pathways, macromolecular structures, gene families, and cellular relationships. It is of use to those who are working with large sets of genes or proteins using cDNA arrays, functional genomics, or proteomics. The rationale for this collection is that: # Except in a few cases, information on most biological pathways in higher eukaryotes is non-existent, incomplete, or conflicting. # Similar biological pathways differ by tissue context, developmental stages, stimulatory events, or for other complex reasons. This database allows comparisons of different variations of pathways that can be tested empirically. # The goal of this database is to use images created directly by biomedical scientists who are specialists in a particular biological system. It is specifically designed to NOT use average, idealized or redrawn pathways. It does NOT use pathways defined by computer algorithm or information search approaches. # Information on biological pathways in higher eukaryotes generally resides in the images and text of review papers. Much of this information is not easily accessible by current medical reference search engines. # All images are attributable to the original authors. All pathways or other biological systems described are graphic representations of natural systems. Each pathway is to be considered a work in progress. Each carries some degree of error or incompleteness. The end user has the ultimate responsibility to determine the scientific correctness and validity in their particular biological system. Image/pathway submissions are welcome.

  • From Current Category

Cite this (Biomarkers Consortium, RRID:SCR_003121)

URL: http://www.biomarkersconsortium.org/

Resource Type: Resource, organization portal, data or information resource, portal, funding resource, consortium

Consortium serving to develop and qualify promising biomarkers in order to help accelerate the delivery of successful new technologies, medicines and therapies for prevention, early detection, diagnosis and treatment of disease. Current core disease areas of focus include Cancer, Inflammation and Immunity, Metabolic Disorders, and Neuroscience. One of the most difficult tasks facing biomarker assessment and evaluation is harmonizing the approaches of various stakeholders--government, industry, non-profits and foundations, providers, and academic institutions. Consortium founding members and other partners recognize the critical need for a coordinated cross-sector partnership effort. The Biomarkers Consortium brings together the expertise and resources of various partners to rapidly identify, develop, and qualify potential high-impact biomarkers. Biomarkers Consortium Goals: * Facilitate the development and qualification of biomarkers using new and existing technologies; * Help qualify biomarkers for specific applications in diagnosing disease, predicting therapeutic response or improving clinical practice; * Generate information useful to inform regulatory decision making; * Make consortium project results broadly available to the entire scientific community.

  • From Current Category

Cite this (Biomedical Informatics Research Network, RRID:SCR_005163)

URL: https://neuroscienceblueprint.nih.gov/factSheet/birn.htm

Resource Type: Resource, database, software resource, service resource, storage service resource, atlas, data repository, data or information resource

THIS RESOURCE IS NO LONGER AVAILABLE. Documented September 21, 2017.

A national initiative to advance biomedical research through data sharing and online collaboration that provides data-sharing infrastructure, software tools, strategies and advisory services. BIRN provides a user-driven, software-based framework for research teams to share significant quantities of data rapidly, securely and privately across geographic distance and/or incompatible computing systems. Groups may choose whether to share data internally or with external audiences. In either scenario, hardware and data remain under the control of individual user groups. They also offer data-sharing software tools specific to biomedical research, best practices references, expert advice and other resources. BIRN actively is developing new data-sharing tools, authorization capabilities, and knowledge engineering tools to help researchers make sense of new information in unique ways. The main BIRN site is at the Information Sciences Institute at USC with collaborators at the University of Chicago, the Massachusetts General Hospital, University of California, Irvine and University of California, Los Angeles.

  • From Current Category

Cite this (Biomedical Information Science and Technology Initiative, RRID:SCR_003123)

URL: http://www.bisti.nih.gov/

Resource Type: Resource, organization portal, training resource, portal, meeting resource, funding resource, data or information resource

A consortium of representatives from each of the NIH institutes and centers. BISTI was established in May 2000 to serve as the focus of biomedical computing issues at the NIH. The mission of BISTI is to make optimal use of computer science and technology to address problems in biology and medicine by fostering new basic understandings, collaborations, and transdisciplinary initiatives between the computational and biomedical sciences. In support of this mission, the BISTI coordinates research grants, training opportunities, and scientific symposia associated with biomedical computing. Regular monthly meetings are conducted to discuss program status, future needs and directions, and topics of interest to the bioinformatics community.

  • From Current Category

Cite this (Bloomington Drosophila Stock Center, RRID:SCR_006457)

URL: http://flystocks.bio.indiana.edu/bloomhome.htm

Resource Type: Resource, organism supplier, biomaterial supply resource, service resource, storage service resource, material resource, material storage repository

Database collects, maintains and distributes Drosophila melanogaster strains for research. Emphasis is placed on genetic tools that are useful to a broad range of investigations. These include basic stocks of flies used in genetic analysis such as marker, balancer, mapping, and transposon-tagging strains; mutant alleles of identified genes, including a large set of transposable element insertion alleles; defined sets of deficiencies and a variety of other chromosomal aberrations; engineered lines for somatic and germline clonal analysis; GAL4 and UAS lines for targeted gene expression; enhancer trap and lacZ-reporter strains with defined expression patterns for marking tissues; and a collection of transposon-induced lethal mutations. Approximately 29,000 fly strains are currently available. Up-to-date stock lists are available for searching, browsing, or downloading/copying at the Internet site. An order form is available on the same site. One small subculture is provided of each requested stock. Larger quantities of animals cannot be provided by the center. Requests may be submitted via a web-based automated ordering system. Stock center scientists are available to answer questions about center stocks, use of the database, or general questions about Drosophila genetics for researchers new to the field. New users of the collection must contact the center for a Bloomington user number (BUN) before ordering stocks.

  • From Current Category

Cite this (Blueprint Neurotherapeutics Network, RRID:SCR_008829)

URL: http://neuroscienceblueprint.nih.gov/bpdrugs/index.htm

Resource Type: Resource, funding resource

A network that provides support and NIH funding for neuroscience research and drug development through access to contract research organizations for outsourcing and research consultation. Successful applicants will receive funding to conduct biological testing, access to a full range of industry-style drug development services and expertise, and control of the intellectual property for drug candidates. Funded projects include treatments for age-related macular degeneration, ALS, Alzheimer's disease, depression, hearing loss, optic neuropathy and stroke.

  • From Current Category

Cite this (Center for Magnetic Resonance Research, RRID:SCR_003148)

URL: http://www.cmrr.umn.edu/

Resource Type: Resource, biomedical technology research center, service resource, access service resource, training resource

Biomedical technology research center that focuses on development of unique magnetic resonance (MR) imaging and spectroscopy methodologies and instrumentation for the acquisition of structural, functional, and biochemical information non-invasively in humans, and utilizing this capability to investigate organ function in health and disease. The distinctive feature of this resource is the emphasis on ultrahigh magnetic fields (7 Tesla and above), which was pioneered by this BTRC. This emphasis is based on the premise that there exists significant advantages to extracting biomedical information using ultrahigh magnetic fields, provided difficulties encountered by working at high frequencies corresponding to such high field strengths can be overcome by methodological and engineering solutions. This BTRC is home to some of the most advanced MR instrumentation in the world, complemented by human resources that provide unique expertise in imaging physics, engineering, and signal processing. No single group of scientists can successfully carry out all aspects of this type of interdisciplinary biomedical research; by bringing together these multi-disciplinary capabilities in a synergistic fashion, facilitating these interdisciplinary interactions, and providing adequate and centralized support for them under a central umbrella, this BTRC amplifies the contributions of each of these groups of scientists to basic and clinical biomedical research. Collectively, the approaches and instrumentation developed in this BTRC constitute some of the most important tools used today to study system level organ function and physiology in humans for basic and translational research, and are increasingly applied world-wide. CMRR Faculty conducts research in a variety of areas including: * High field functional brain mapping in humans; methodological developments, mechanistic studies, and neuroscience applications * Metabolism, bioenergetics, and perfusion studies of human pathological states (tumors, obesity, diabetes, hepatic encephalopathy, cystic fibrosis, and psychiatric disorders) * Cardiac bioenergetics under normal and pathological conditions * Automated magnetic field shimming methods that are critical for spectroscopy and ultrafast imaging at high magnetic fields * Development of high field magnetic resonance imaging and spectroscopy techniques for anatomic, physiologic, metabolic, and functional studies in humans and animal models * Radiofrequency (RF) pulse design based on adiabatic principles * Development of magnetic resonance hardware for high fields (e.g. RF coils, pre-amplifiers, digital receivers, phased arrays, etc.) * Development of software for data analysis and display for functional brain mapping.

  • From Current Category

Cite this (Collaborative Study on the Genetics of Alcoholism, RRID:SCR_013395)

URL: http://zork.wustl.edu/niaaa/

Resource Type: Resource, biomaterial supply resource, data or information resource, material resource, database

A multi-site, multi-disciplinary undertaking with the overall goals of characterizing the familial transmission of alcoholism and related phenotypes and identifying susceptibility genes using genetic linkage. The study is being coordinated by the SUNY Health Science Center at Brooklyn (HSCB) under the leadership of Henri Begleiter. The study was initially funded by the National Institute of Alcohol Abuse and Alcoholism (NIAAA) in 1989. Additional useful information at http://www.niaaa.nih.gov/ResearchInformation/ExtramuralResearch/SharedResources/projcoga.htm

  • From Current Category

Cite this (ConnectomeDB, RRID:SCR_004830)

URL: http://humanconnectome.org/connectome/connectomeDB.html

Resource Type: Resource, database, image collection, service resource, storage service resource, image repository, data repository, data or information 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.

  • From Current Category

Cite this (Connectome Workbench, RRID:SCR_008750)

URL: http://humanconnectome.org/connectome/connectome-workbench.html

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

An open-source visualization, analysis and discovery tool used to map data generated by the Human Connectome Project (HCP). This tool allows you to explore and perform operations on multiple types of data, including connectivity data, in a fully interactive way. Connectome Workbench works seamlessly with ConnectomeDB to import data from a single subject, or average data from a group of subjects and register that data onto a standard brain atlas. Workbench allows you to explore data and activity on the surface, as well as in the volume of the brain. Workbench also includes many command-line utilities (wb_command) that perform a wide variety of algorithmic tasks using volume, surface, and grayordinate data; these utilities are extensively used in the HCP minimal preprocessing pipelines. This visualization platform is based on Caret, a software package for structural and functional analyses of the cerebral and cerebellar cortex developed in the Van Essen Laboratory at Washington University.

  • From Current Category

Cite this (CRE Driver Network, RRID:SCR_002720)

URL: http://www.credrivermice.org/

Resource Type: Resource, organism supplier, database, biomaterial supply resource, production service resource, material service resource, service resource, material resource, biomaterial manufacture, data or information resource

Project to provide the Neuroscience Community with mouse strains that are suitable for the tissue and cell-type-specific perturbation of gene function in the nervous system. Many of the mouse models currently available are strict null mutants, which can have limited utility such as in the case of knockout lethality. Genetic knockouts that are spatially and/or temporally restricted may circumvent lethality and gene compensatory issues and can provide for a more detailed analysis of particular gene products in specified regions or in critical developmental periods at different ages. The NIH Neuroscience Blueprint has established three centers in the USA for the generation of genetically modified mice expressing CRE recombinases in the nervous system on the C57BJ/6 genetic background. The mouse lines are generated at Cold Spring Harbor Lab, at Scripps Research Institute, and at Baylor College of Medicine. The mice will be widely available to the Neuroscience Community.

  • From Current Category

Cite this (Deltagen and Lexicon Knockout Mice and Phenotypic Data Resource, RRID:SCR_007312)

URL: http://www.nih.gov/science/models/mouse/deltagenlexicon/theresource.html

Resource Type: Resource, organism supplier, biomaterial supply resource, data set, cell repository, material resource, data or information resource

Repository of knockout mice that have been extensively characterized. For each mouse line, the contractors will provide not only the mouse line itself, but also detailed, objective data on the impact of the specific gene deletion on the mouse''s phenotype, which includes appearance, health, fitness, behavior, ability to reproduce, and radiological and microscopic data. Such comprehensive information on such a large group of mice has never been available to public sector researchers, and is expected to greatly accelerate efforts to explore gene functions in health and disease. This resource will give researchers unprecedented access to two private collections of knockout mice, providing valuable models for the study of human disease and laying the groundwork for a public, genome-wide library of knockout mice. The contracts also provide for the opportunity for NIH to obtain up to 1500 additional mouse lines and phenotypic data over the next three years, pending available funds. The new contracts provide NIH with irrevocable, perpetual, worldwide, royalty-free licenses to use and distribute to academic and non-profit researchers these lines of knockout mice. The mouse lines, which will be stored in the form of frozen embryos, frozen sperm and frozen embryonic stem (ES) cells, will be delivered to NIH-funded mouse repositories that supply mice to universities, medical schools and research labs all over the world. When researchers express interest in obtaining a certain knockout mouse line, the repositories will send them live mice, frozen embryos, sperm, and/or ES cells, so they can study the mice in their own labs. All data on the mice will be made available to researchers worldwide without restriction in publicly available databases on the Web. This resource will be available for a nominal fee which will be used to cover the cost of handling, shipping and replenishing the stock. Under the license agreements with Deltagen and Lexicon, researchers who receive the knockout mice lines through NIH are free to publish any results from research involving the line and also to seek patent or other intellectual property protection for any of the inventions or discoveries resulting from such research. List of Available Knockout Mice: http://www.informatics.jax.org/external/ko/

  • From Current Category

Cite this (FieldTrip, RRID:SCR_004849)

URL: http://fieldtrip.fcdonders.nl/

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

A Matlab software toolbox for MEG and EEG analysis including algorithms for simple and advanced analysis, such as time-frequency analysis, source reconstruction using dipoles, distributed sources and beamformers and non-parametric statistical testing. It supports the data formats of all major MEG systems (CTF, Neuromag, BTi) and of the most popular EEG systems, and new formats can be added easily. FieldTrip contains high-level functions that you can use to construct your own analysis protocols in Matlab. Furthermore, it easily allows developers to incorporate low-level algorithms for new EEG/MEG analysis methods.

  • From Current Category

    FlyBase

Cite this (FlyBase, RRID:SCR_006549)

URL: http://flybase.org/

Resource Type: Resource, topical portal, organism-related portal, analysis service resource, database, data analysis service, service resource, portal, production service resource, storage service resource, data repository, data or information resource

Database of Drosophila genetic and genomic information with information about stock collections and fly genetic tools. Gene Ontology (GO) terms are used to describe three attributes of wild-type gene products: their molecular function, the biological processes in which they play a role, and their subcellular location. Additionally, FlyBase accepts data submissions. FlyBase can be searched for genes, alleles, aberrations and other genetic objects, phenotypes, sequences, stocks, images and movies, controlled terms, and Drosophila researchers using the tools available from the "Tools" drop-down menu in the Navigation bar.

  • From Current Category

    GENSAT

Cite this (GENSAT, RRID:SCR_002721)

URL: http://www.gensat.org/

Resource Type: Resource, organism supplier, production service resource, biomaterial supply resource, database, material service resource, service resource, atlas, material resource, biomaterial manufacture, data or information resource

Publicly available gene expression atlas of the developing and adult central nervous system in the mouse, using both in situ hybridization and transgenic mouse techniques. It is a collection of pictorial gene expression maps of the brain and spinal cord of the mouse. Using EGFP BAC-transgenics, this project provides the scientific community with tools to catalog, map, and electrophysiologically record from individual cells. The application of Cre recombinase technologies allows for cell-specific gene manipulation. The transgenic mice created by this project are available to the scientific community.

  • From Current Category

Cite this (GMAC: A Matlab toolbox for spectral Granger causality analysis of fMRI data, RRID:SCR_009581)

URL: https://www.nitrc.org/projects/gmac_2012/

Resource Type: Resource, software resource, software toolkit

Open-source software toolbox implemented multivariate spectral Granger Causality Analysis for studying brain connectivity using fMRI data. Available features are: fMRI data importing, network nodes definition, time series preprocessing, multivariate autoregressive modeling, spectral Granger causality indexes estimation, statistical significance assessment using surrogate data, network analysis and visualization of connectivity results. All functions are integrated into a graphical user interface developed in Matlab environment. Dependencies: Matlab, BIOSIG, SPM, MarsBar.

  • From Current Category

Cite this (Harvard Brain Tissue Resource Center, RRID:SCR_003316)

URL: http://www.brainbank.mclean.org/

Resource Type: Resource, biomaterial supply resource, biospecimen repository, tissue bank, service resource, brain bank, storage service resource, material resource, material storage repository

A biomaterial supply resource that acquires, processes, stores, and distributes postmortem brain specimens for brain research. Various types of brain tissue are collected, including those with neurological and psychiatric disorders, along with their parents, siblings and offspring. The HBTRC maintains an extensive collection of postmortem human brains from individuals with Huntington's chorea, Alzheimer's disease, Parkinson's disease, and other neurological disorders. In addition, the HBTRC also has a collection of normal-control specimens.

  • From Current Category

  1. Resource Identification Portal Resources

    Welcome to the RRID Resources search. From here you can search through a compilation of resources used by RRID and see how data is organized within our community.

  2. Navigation

    You are currently on the Community Resources tab looking through categories and sources that RRID has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.

  3. Logging in and Registering

    If you have an account on RRID then you can log in from here to get additional features in RRID such as Collections, Saved Searches, and managing Resources.

  4. Searching

    Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:

    1. Use quotes around phrases you want to match exactly
    2. You can manually AND and OR terms to change how we search between words
    3. You can add "-" to terms to make sure no results return with that term in them (ex. Cerebellum -CA1)
    4. You can add "+" to terms to require they be in the data
    5. Using autocomplete specifies which branch of our semantics you with to search and can help refine your search
  5. Save Your Search

    You can save any searches you perform for quick access to later from here.

  6. Query Expansion

    We recognized your search term and included synonyms and inferred terms along side your term to help get the data you are looking for.

  7. Collections

    If you are logged into RRID you can add data records to your collections to create custom spreadsheets across multiple sources of data.

  8. Sources

    Here are the sources that were queried against in your search that you can investigate further.

  9. Categories

    Here are the categories present within RRID that you can filter your data on

  10. Subcategories

    Here are the subcategories present within this category that you can filter your data on

  11. Further Questions

    If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.

X