Searching the RRID Resource Information Network

Our searching services are busy right now. Please try again later

  • 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

SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.

Search

Type in a keyword to search

On page 3 showing 41 ~ 60 out of 1,261 results
Snippet view Table view Download Top 1000 Results
Click the to add this resource to a Collection

http://linkedlifedata.com/

A platform for semantic data integration through RDF warehousing and efficient reasoning that helps to resolve conflicts in the data. Search and explore over 5 billion RDF statements from various sources including UniProt, PubMed, EntrezGene and 20 more... Perform complex SPARQL queries and retrieve more than one billion RDF resources. One of the major problems that biotechnology and pharmaceutical industries face today is how to combine data from multiple sources and make their research more productive. Data integration takes much time and often leads to errors and redundancies that require more time and resources to resolve. LinkedLifeData is a data warehouse that syndicates tons of heterogeneous biomedical knowledge in a common data model. The platform uses an extension of the RDF model that is able to track the provenance of each individual fact in the repository and thus update the information. Data Sources include: Disease Ontology, LinkedCT, Reactome, HPRD, DBPedia, UniProt, CellMap, NCBI Entrez-Gene, UMLS, IMID, MINT, DrugBank, LHGDN, Gene Ontology, HumanCYC, PubMed, NCI Nature, Human Phenotype Ontology, BioGRID, IntAct, HapMap, Symptom Ontology, DailyMed, ChEBI, Diseasome, Freebase, SIDER

Proper citation: linked life data - a semantic data integration platform for the biomedical domain (RRID:SCR_010642) Copy   


https://www.smir.ch/

Medical image repository to store medical research data.

Proper citation: SICAS Medical Image Repository (RRID:SCR_017420) Copy   


http://www.acceleratedcure.org/impact/repository

A repository of biological samples and data from people with multiple sclerosis, selected other demyelinating diseases, and unaffected controls. The repository not only provides much-needed samples and data to researchers studying MS and other diseases, but also aggregates the results from all of these studies so that they can be analyzed collectively, leading to new findings and breakthroughs. The repository collects blood, DNA, and imaging once per year. The repository currently includes samples and data from over 2,700 subjects with Multiple Sclerosis, Neuromyelitis Optica, Acute Disseminated Encephalomyelitis, Transverse Myelitis, Optic Neuritis, and Clinically Isolated Syndromes, as well as controls. Blood samples are provided as aliquots as serum, plasma, DNA, RNA, and lymphocytes and each sample is accompanied by more than 40 pages of clinical and epidemiological data contributed by the subject and the enrolling neurologist.

Proper citation: Accelerated Cure Project MS Repository (RRID:SCR_004208) Copy   


  • RRID:SCR_004539

http://ccr.coriell.org/Sections/Collections/COHORT/?SsId=44

A repository of information related to Huntington's disease and its causes, progression, treatments, and possible cures. It stores and accepts data and specimens to accelerate research on Huntington's disease and provides scientists with prospectively collected clinical data and biological specimens. The COHORT sample includes individuals which manifest Huntington's disease (HD), unaffected individuals known to carry the HD gene or who are at risk of carrying the HD gene, and family members who have no risk for HD (control subjects). Clinical data includes demographics, clinical features, family history, and genetic characteristics. Biological specimens include blood with a potential of collecting urine or other samples in the future. The COHORT biological specimen repository will provide research specimens for current and future scientific research aimed at developing useful biomarkers of HD.

Proper citation: COHORT Repository (RRID:SCR_004539) Copy   


http://www.rucdr.org/

RUCDR is a biobank and a service organization that maintains human blood, serum, saliva, tissue and the genetic products derived from those. Services include technical consultation and logistical support for biobanking. Researchers can order biomaterials and apply for phenotypic / genotypic data.

Proper citation: Rutgers Cell and DNA Repository (RRID:SCR_010624) Copy   


  • RRID:SCR_004520

    This resource has 1+ mentions.

http://ccr.coriell.org/Sections/Collections/NINDS/?SsId=10

Open resource of biological samples (DNA, cell lines, and other biospecimens) and corresponding phenotypic data to promote neurological research. Samples from more than 34,000 unique individuals with cerebrovascular disease, dystonia, epilepsy, Huntington's Disease, motor neuron disease, Parkinsonism, and Tourette Syndrome, as well as controls (population control and unaffected relatives) have been collected. The mission of the NINDS Repository is to provide 1) genetics support for scientists investigating pathogenesis in the central and peripheral nervous systems through submissions and distribution; 2) information support for patients, families, and advocates concerned with the living-side of neurological disease and stroke.

Proper citation: NINDS Repository (RRID:SCR_004520) Copy   


https://www.nimhgenetics.org/

Collaborative venture between the National Institute of Mental Health (NIMH) and several academic institutions. Repository facilitates psychiatric genetic research by providing patient and control samples and phenotypic data for wide-range of mental disorders and Stem Cells.Stores biosamples, genetic, pedigree and clinical data collected in designated NIMH-funded human subject studies. RGR database likewise links to other repositories holding data from same subjects, including dbGAP, GEO and NDAR. Allows to access these data and biospecimens (e.g., lymphoblastoid cell lines, induced pluripotent cell lines, fibroblasts) and further expand genetic and molecular characterization of patient populations with severe mental illness.

Proper citation: NIMH Repository and Genomics Resources (RRID:SCR_006698) Copy   


  • RRID:SCR_005910

    This resource has 1000+ mentions.

https://datadryad.org

International, curated, digital repository that makes the data underlying scientific publications discoverable, freely reusable, and citable. Particularly data for which no specialized repository exists. Provides the infrastructure for, and promotes the re-use of, data underlying the scholarly literature. Governed by a nonprofit membership organization. Membership is open to any stakeholder organization, including but not limited to journals, scientific societies, publishers, research institutions, libraries, and funding organizations. Most data are associated with peer-reviewed articles, although data associated with non-peer reviewed publications from reputable academic sources, such as dissertations, are also accepted. Used to validate published findings, explore new analysis methodologies, repurpose data for research questions unanticipated by the original authors, and perform synthetic studies.UC system is member organization of Dryad general subject data repository.

Proper citation: Dryad Digital Repository (RRID:SCR_005910) Copy   


  • RRID:SCR_004834

    This resource has 10+ mentions.

https://neuinfo.org/mynif/search.php?list=cover&q=*

Service that partners with the community to expose and simultaneously drill down into individual databases and data sets and return relevant content. This type of content, part of the so called hidden Web, is typically not indexed by existing web search engines. Every record links back to the originating site. In order for NIF to directly query these independently maintained databases and datasets, database providers must register their database or dataset with the NIF Data Federation and specify permissions. Databases are concept mapped for ease of sharing and to allow better understanding of the results. Learn more about registering your resource, http://neuinfo.org/nif_components/disco/interoperation.shtm Search results are displayed under the Data Federation tab and are categorized by data type and nervous system level. In this way, users can easily step through the content of multiple resources, all from the same interface. Each federated resource individually displays their query results with links back to the relevant datasets within the host resource. This allows users to take advantage of additional views on the data and tools that are available through the host database. The NIF site provides tutorials for each resource, indicated by the Professor Icon professor icon showing users how to navigate the results page once directed there through the NIF. Additionally, query results may be exported as an Excel document. Note: NIF is not responsible for the availability or content of these external sites, nor does NIF endorse, warrant or guarantee the products, services or information described or offered at these external sites. Integrated Databases: Theses virtual databases created by NIF and other partners combine related data indexed from multiple databases and combine them into one view for easier browsing. * Integrated Animal View * Integrated Brain Gene Expression View * Integrated Disease View * Integrated Nervous System Connectivity View * Integrated Podcasts View * Integrated Software View * Integrated Video View * Integrated Jobs * Integrated Blogs For a listing of the Federated Databases see, http://neuinfo.org/mynif/databaseList.php or refer to the Resources Listed by NIF Data Federation table below.

Proper citation: NIF Data Federation (RRID:SCR_004834) Copy   


http://www.bccrc.ca/dept/ttr

A provincial biobank resource to support translational cancer research at the BC Cancer Agency, across Canada and internationally. This biobank collects biospecimens (tissues and blood), and clinical information and processes these to create anonymous cases that can be studied by cancer researchers to understand how cancer develops, how it grows, how it spreads, and how it responds to treatment. These tissues and data are obtained from patients who undergo surgery to treat a tumor and who have generously provided their consent for the TTR to collect tissues that are unused after diagnosis has been completed. The TTR is a provincial program that currently comprises a core biobank at the Vancouver Island Center, Victoria, that offers participation in the program to patients in Victoria and Nanaimo. The TTR works with other banks and expert translational research groups in BC, to create expanded capacity for collection and opportunities for research access to tissue resources. The TTR operates under the management and oversight of the director, a scientific advisory board, and the UBC BCCA Research Ethics Board. The TTR operates within organizational policies and a commitment to protection of donor privacy that is embodied in all standard operating procedures and aspects of the repository. The TTR is also a founding member and contributor to the development of provincial (BC BioLibrary) and national (CTRNet) initiatives to promote biobanking.

Proper citation: British Columbia Tumour Tissue Repository (RRID:SCR_004597) Copy   


https://purr.purdue.edu

Provides online, collaborative working space and data-sharing platform. Provides services with data management planning, boilerplate text for proposal, sample plans and individual consultation. Each dataset gets DOI. PURR publishes and archives digital datasets from researchers across campus and welcomes all kinds of open data from images and videos to spreadsheets and source code.

Proper citation: Purdue University Research Repository (PURR) (RRID:SCR_027877) Copy   


https://www.jax.org/research-and-faculty/resources/knockout-mouse-project

Information from JAX about their contributions to KOMP project coordinated by International Mouse Phenotyping Consortium. National Institutes of Health has funded three KOMP2 centers in United States, including one at Jackson Laboratory, to work together on task of producing and phenotyping mice to establish resource of knockout mice and related database of gene function.

Proper citation: Knockout Mouse Project Repository at JAX (RRID:SCR_017512) Copy   


http://www.carmen.org.uk/

THIS RESOURCE IS NO LONGER IN SERVICE.Documented on January 14, 2023. Infrastructure for sharing data, tools and services, this virtual research environment (VRE) supports e-Neuroscience and is designed to provide services for data and processing of that data. While the system is initially focused on electrophysiology data (neural activity recordings are the primary data types), it is equally applicable to many domains outside neuroscience. The Portal Provides: * User login and customization. * Data upload/download. * Data handling including custom permissions for public, shared or private data. * The ability to invoke custom public, shared or private services that consume and produce data. For example, it would allow spike series to be run through a sorter, producing new data representing the sorted spikes. * The ability to host services written in a number of languages including, but not limited to Matlab, R, Python, Perl, Java. * A system to support metadata for data objects, which provides extensive support for entering metadata at the point of upload, and allows the generation of metadata from services to provide provenance information. * The ability to invoke additional visualization for the data, for example, via the Signal Data Explorer. A core part is the development of: (i) minimum reporting guidelines for annotation of data and other computational resources for the purpose of sharing, and; (ii) intermediate formats and APIs for translation between proprietary and bespoke data types. These recommendations are being implemented and the global community is encouraged both to engage in their specification and make use of them for their own data sharing systems. * MINI: Minimum Information about a Neuroscience Investigation - This framework represents the formalized opinion of the CARMEN consortium and its associates, and identifies the minimum reporting information required to support the use of electrophysiology in a neuroscience study, for submission to the CARMEN system. * NDTF: Neurophysiology Data Translation Format - This framework provides a vendor-independent mechanism for translating between raw and processed neurphysiology data in the form of time and image series. They are implementing NDTF in CARMEN but it may also be useful for third party applications.

Proper citation: Code Analysis Repository and Modelling for e-Neuroscience (RRID:SCR_002795) Copy   


http://ccr.coriell.org/Sections/Collections/AREDS/?SsId=68

The NEI-AREDS Genetic Repository is a collection of genetic material submitted by participants in the Age-Related Eye Disease Study (AREDS) which was sponsored by the National Eye Institute (NEI). The Repository stores DNA for use by investigators conducting genetics research into the causes of eye disease. The Age-Related Eye Disease Study was designed to learn about macular degeneration and cataract, two leading causes of vision loss in older adults. The study looked at how these two diseases progress and what their causes may be. In addition, the study tested certain vitamins and minerals to find out if they can help to prevent or slow these diseases. Participants in the study did not have to have either disease. (Enrollment was completed in January 1998.) Eleven medical centers in the United States took part in the study, and more than 4,700 people across the country were enrolled in AREDS. The study was supported by the National Eye Institute, part of the Federal government''s National Institutes of Health. The clinical trial portion of the study also received support from Bausch & Lomb Pharmaceuticals and was completed in October 2001. Data from AREDS is publicly available in the Database of Genotypes and Phenotypes (dbGaP). Genetic samples from 600 AREDS participants (200 controls, 200 Neovascular AMD cases, and 200 Geographic Atrophy cases) were selected using data available in March 2005 and then were genotyped using the Illumina 100K and the Affymetrix 100K gene chips. These genotype data are available in the dbGaP. DNA samples are distributed only to qualified professional persons who are associated with recognized research, medical, educational, or industrial organizations engaged in health-related research or health delivery. All orders for DNA samples must be submitted using the online catalog.

Proper citation: NEI-AREDS Genetic Repository (RRID:SCR_004536) Copy   


http://www.isber.org/

Global biobanking organization that creates opportunities for networking, education, and innovation. ISBER provides a community for harmonizing approaches to emerging challenges in repositories, as well as fostering ideas to create new solutions.

Proper citation: International Society for Biological and Environmental Repositories (RRID:SCR_005383) Copy   


http://ncrad.iu.edu/

Cell repository for Alzheimer's disease that collects and maintains biological specimens and associated data. Its data is derived from large numbers of genetically informative, phenotypically well-characterized families with multiple individuals affected with Alzheimer's disease, as well as individuals for case-control studies.

Proper citation: National Cell Repository for Alzheimer's Disease (RRID:SCR_007313) Copy   


http://www.fccc.edu/prevention/studies/biosample/about.html

Fox Chase has developed a facility dedicated to the collection and distribution of human subject biosamples and supporting personal and family cancer history data. In response to announcement (CA-00-025; P30 CA06927S2), the Fox Chase Cancer Center''s Biosample Repository (BR) and Tumor Bank Facility (TBF) is making blood specimens (i.e., whole blood, plasma, platelet-rich plasma, platelet homogenates, red blood cells, leukocytes, lymphoblastoid cell lines, and DNA isolated from leukocytes) and tumor tissues (i.e., multi-tissue microarrays and tumor DNAs) collected by our facilities available for research. Request for blood and tissue will be reviewed by a panel of scientists and ranked. Priority will be given to those investigators with current NIGH/NCI funding, but will be made available as recommended by the internal and external advisory committees. * Blood Inventory: Plasma, Serum, Whole Blood, Lymphocytes, DNA * Tissue Inventory: Tumor and Normal Adjacent Tissue, Fresh-Frozen, Formalin-Fixed Paraffin-Embedded Tissue, OCT Embedded Tissue, Ethanol-fixed Tissue

Proper citation: Fox Chase Biosample Repository Core Facility (RRID:SCR_004746) Copy   


https://seer.cancer.gov/vtr/

Program uses cancer surveillance infrastructure to provide researchers with access to tissue and data. SEER Program cancer registry provides researchers with de-identified, but linked, archival, formalin-fixed, paraffin-embedded (FFPE) tissue from clinical care and/or clinical data obtained from medical record abstraction for secondary use in cancer research. Researchers may also request de-identified demographic information, outcomes, pathology reports, custom clinical data collection, and/or digital whole slide images. Used for studying rare cancers, early onset cancers, multiple primary cancers, unusual cancer outcomes, and cancers in small populations.

Proper citation: SEER-Linked Virtual Tissue Repository (VTR) Program (RRID:SCR_028494) Copy   


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

Data set of manually-guided expert segmentation results along with magnetic resonance brain image data. Its purpose is to encourage the development and evaluation of segmentation methods by providing raw test and image data, human expert segmentation results, and methods for comparing segmentation results. Please see the MediaWiki for more information. This repository is meant to contain standard test image data sets which will permit a standardized mechanism for evaluation of the sensitivity of a given analysis method to signal to noise ratio, contrast to noise ratio, shape complexity, degree of partial volume effect, etc. This capability is felt to be essential to further development in the field since many published algorithms tend to only operate successfully under a narrow range of conditions which may not extend to those experienced under the typical clinical imaging setting. This repository is also meant to describe and discuss methods for the comparison of results.

Proper citation: Internet Brain Segmentation Repository (RRID:SCR_001994) Copy   


http://www.ldeo.columbia.edu/core-repository

Core repository and one of the world's most unique and important collections of scientific samples from the deep sea. Sediment cores from every major ocean and sea are archived at the Core Repository. The collection contains approximately 72,000 meters of core composed of 9,700 piston cores; 7,000 trigger weight cores; and 2,000 other cores such as box, kasten, and large diameter gravity cores. They also hold 4,000 dredge and grab samples, including a large collection of manganese nodules, many of which were recovered by submersibles. Over 100,000 residues are stored and are available for sampling where core material is expended. In addition to physical samples, a database of the Lamont core collection has been maintained for nearly 50 years and contains information on the geographic location of each collection site, core length, mineralogy and paleontology, lithology, and structure, and more recently, the full text of megascopic descriptions. Samples from cores and dredges, as well as descriptions of cores and dredges (including digital images and other cruise information), are provided to scientific investigators upon request. Materials for educational purposes and museum displays may also be made available in limited quantities when requests are adequately justified. Various services and data analyses, including core archiving, carbonate analyses, grain size analyses, and RGB line scan imaging, GRAPE, P-wave velocity and magnetic susceptibility runs, can also be provided at cost. The Repository operates a number of labs and instruments dedicated to making fundamental measurements on material entering the repository including several non-destructive methods. Instruments for conducting and/or assisting with analyses of deep-sea sediments include a GeoTek Multi-Sensor Core Logger, a UIC coulometer, a Micromeritics sedigraph, Vane Shear, X-radiograph, Sonic Sifter, freeze dryer, as well as a variety of microscopes, sieves, and sampling tools. They also make these instruments available to the scientific community for conducting analyses of deep-sea sediments. If you are interested in borrowing any field equipment, please contact the Repository Curator.

Proper citation: Lamont-Doherty Core Repository (RRID:SCR_002216) Copy   



Can't find your Tool?

We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.

Can't find the RRID you're searching for? X
  1. RRID 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