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
X
Forgot Password

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

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 12 showing 221 ~ 240 out of 520 results
Snippet view Table view Download 520 Result(s)
Click the to add this resource to a Collection
  • RRID:SCR_004001

    This resource has 1+ mentions.

http://www.asiancancerresearchgroup.org/

An independent, not-for-profit consortium to accelerate research, and improve treatment for patients affected with the most commonly-diagnosed cancers in Asia by generating a genomic data resource for the most prevalent cancers in Asia. ACRG is focusing its initial efforts on Asian liver, gastric and lung cancers. Goals * Generate comprehensive genomics data sets for Asia-prevalent cancers * Conduct all research under good clinical practices and in accordance with local laws * Uncover key mutations and pathways for developing targeted therapies * Discover molecular tumor classifiers for patient stratification * Discover prognostic markers to identify high-risk patients * Freely share resulting raw data with scientific community to empower researchers globally and enable development of new diagnostics and medicines * Publish data analysis results jointly in prominent scientific journals Over the next two years, Lilly, Merck and Pfizer have committed to create an extensive pharmacogenomic cancer database that will be composed of data from approximately 2,000 tissue samples from patients with lung and gastric cancer that will be made publicly available to researchers and, over time, further populated with clinical data from a longitudinal analysis of patients. Comparison of the contrasting genomic signatures of these cancers could inform new approaches to treatment. Lilly has assumed responsibility for ultimately providing the data to the research public through an open-source concept managed by Lilly''''s Singapore research site. Moreover, Lilly, Merck and Pfizer will each provide technical and intellectual expertise. One dataset can be found at http://gigadb.org/dataset/100034

Proper citation: Asian Cancer Research Group (RRID:SCR_004001) Copy   


http://www.biobank.unisi.it/Elencorett.asp

Data and biospecimen from Rett Syndrome patients shared with the scientific community with the ability to visualize the list of available samples and select those with specific clinical and molecular features. It also contains information on biospecimen samples from x-linked retardation, microdeletion, duplication syndromes, autosomal MR, and retinoblastoma. The bank is active since 1998 and it is located in the Medical Genetics Unit, at the University Hospital of Siena. The bank is divided in three distinct sections: # Rett Syndrome. This section contains samples from patients affected by Rett syndrome, a neurodegenerative disease affecting almost exclusively girls with an estimated frequency of 1:10000-15000 live born. By accessing the section users can see a list of all patients available with their phenotype, the specific MECP2 or CDKL5 mutation if known and the kind of biological samples available for each patient. The availability of this large panel of patients is potentially important for the clarification of the molecular bases of Rett syndrome. In fact, a 20-30 of Rett cases do not have MECP2 or CDKL5 mutations. These patients might bear intronic/promoter MECP2 or CDKL5 mutations or they might have alterations in one or more genes different from MECP2 or CDKL5, as suggested by the identification of various chromosomal rearrangements. To confirm a causative role of these rearrangements, and to identify the relevant gene/s, it is important to collect a great number of patients in which to search for overlapping rearrangements or point mutations in candidate genes. # X-Linked Mental Retardation. This section contains samples collected by the centers belonging to the Italian network on X-linked mental retardation, which includes the laboratory of bank curators (for specific information on the network goals and organization, go to the section page). Mental retardation (MR) is the most frequent cause of serious handicap in humans with an estimated prevalence of 0,3-0,5 for moderate to severe MR (IQ<50) which increases to 1-1,5 when mild MR (IQ 50-70) is included. It is calculated that about 20-25 of mentally retarded males have a mutation in a gene on the X chromosome (X-linked mental retardation). X-linked mental retardation is a genetically heterogeneous condition. This is particularly true for the non-syndromic form (MRX), where MR is the only consistent clinical finding and no distinctive features between patients exist. In this situation the only possibility to group patients from different families is represented by linkage analysis, which needs the availability of large families. However, families linked to the same region demonstrate different causative genes. In these conditions, the number of patients available for analysis is a discriminating factor since a large number of patients need to be tested in order to fully confirm or exclude the involvement of a gene in MRX. # Other. This section of the bank contains biological materials and clinical data of patients with other genetic disorders (different from Rett and X-linked mental retardation). Part of this section is dedicated to Alport syndrome. Services: * Isolation of leukocytes from human peripheral blood samples * Establishment of EBV transformed lymphoblastoid cell lines from human peripheral blood leukocytes. * DNA extraction. * Plasma isolation. * Storage: ** Cryo-preservation of transformed cell lines and primary leukocytes at 135��C ** Storage of DNA at 20 degrees C ** Storage of plasma at 20 degrees C * Distribution of the stored biological samples.

Proper citation: Italian Rett Syndrome database (RRID:SCR_002000) Copy   


  • RRID:SCR_003909

    This resource has 100+ mentions.

http://www.hipsci.org/

A UK national induced pluripotent stem (iPS) cell resource that will create and characterize more than 1000 human iPSCs from healthy and diseased tissue for use in cellular genetic studies. Between 2013 and 2016 they aim to generate iPS cells from over 500 healthy individuals and 500 individuals with genetic disease. They will then use these cells to discover how genomic variation impacts on cellular phenotype and identify new disease mechanisms. Strong links with NHS investigators will ensure that studies on the disease-associated cell lines will be linked to extensive clinical information. Further key features of the project are an open access model of data sharing; engagement of the wider clinical genetics community in selecting patient samples; and provision of dedicated laboratory space for collaborative cell phenotyping and differentiation.

Proper citation: HipSci (RRID:SCR_003909) Copy   


  • RRID:SCR_003863

http://vitiligobiobank.org/

A non-profit collection of biological samples and detailed associated clinical data, designed to facilitate medical research into vitiligo, a devastating skin disease that is much neglected. They collect, store and analyze biological samples throughout the network of collaborators in 11 countries, using standard collection protocols and unified patient record, which are then made available to the scientific community and research organizations investigating pathogeneses, diagnostics, new treatments, and ultimately a cure for vitiligo. The core asset is a large collection of well-organized hair, blood, serum and DNA samples, integrated with comprehensive and anonymized patient records.

Proper citation: Vitiligo Biobank (RRID:SCR_003863) 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_004245

http://www.medunigraz.at/en/biobank

Biobank Graz is a non-profit central Medical University of Graz (MUG) service facility that provides the logistics and infrastructure to optimally support MUG research teams in the collection, processing and storage of biological samples and their associated data. In the course of this, special attention is given to sample and data quality and to the protection of the individual rights of patients. Samples from selected patients at the Graz LKH-University Clinical Centre, who have signed an informed consent declaration, are deposited in Biobank Graz. This means that excess tissue and blood samples are collected and placed in storage. The samples are harvested in the course of routine interventions undertaken by the different departments and institutes of the Graz LKH-University Clinical Centre and approved for use in research projects only after the completion of all necessary laboratory and histopathological analyses. No additional material is removed: in other words, there are no associated drawbacks whatsoever for the patients involved. Biobank Graz operates a quality management system according to ISO 9001:2008 and offers the following services for the processing and storage of biological samples and the handling of data: * Consistently high sample quality through the processing of samples using standardized methods in accordance with written working instructions (SOPs) * Efficient use of resources through the building of shared infrastructure and the development of optimized processes * A high degree of reliability provided by the storage of samples in 24/7 - monitored storage systems. * Processing and storage of all data in accordance with data protection legislation. Biobank Graz comprises both population-based and disease-focused collections of biological materials. It currently contains approx. 3.8 mio samples from approx. 1.2 mio patients representing a nonselected patient group characteristic of central Europe. Because the Institute of Pathology was, until 2003, the exclusive pathology service provider for major parts of the province of Styria, including its capital Graz (population approx. 1.2 mio people), samples from all human diseases, treated by surgery or diagnosed by biopsy, are included in the collection at their natural frequency of occurrence and thus represent cancers and non-cancerous diseases from all organs, and from all age groups. The scientific value of the existing tissue collection is, thus, not only determined by its size and technical homogeneity (all samples have been processed in a single institute under constant conditions for more than 20 years), but also by its population-based character. These features provide ideal opportunities for epidemiological studies and allow the validation of biomarkers for the identification of specific diseases and determination of their response to treatment. Prospectively collected tissues, blood samples and clinical data comprise, on the one hand, randomly selected samples from all diseases and patient groups to provide sufficient numbers of samples for the evaluation of the disease-specificity of any gene or biomarker. On the other hand, Biobank Graz adopts a disease-focused approach for selected diseases (such as breast, colon and liver cancers as well as some metabolic diseases) through the collection of a range of different human biological samples of highest quality and detailed clinical follow-up data. Graz Medical University established the Biobank to provide improved and sustainable access to biological samples and related (clinical) data both for its own academic research and for external research projects of academic and industrial partners. It is a major interest of the university to initiate co-operative research projects. Biological samples and data are available to external institutions performing high-quality research projects which comply with the Biobank''s ethical and legal framework according to the access rules (Contact: COO Karine Sargsyan, MD, PhD).

Proper citation: Biobank Graz (RRID:SCR_004245) Copy   


  • RRID:SCR_003536

    This resource has 1+ mentions.

http://specimencentral.com/

World's open biospecimen research database where biobanks and biomedical researchers meet to exchange human biospecimen needs and supply: whole blood, serum, plasma, solid tissue samples and more. The connection is accelerated so researchers save valuable time and money and tissue banks utilize inventory. The pace of specimen procurement remains unacceptably slow to the biomedical research community. Specimen Central is the foremost global resource to aid biomedical researchers in expediting their search for high quality human biospecimens, tissues, samples and specimens. They facilitate your search for blood, whole blood, buccal swab, DNA, RNA, protein, cell lines, plasma, serum, RBC, white cells, buffy coat, fluid, marrow, urine, stem cells, and solid tissue such as tumor, tumor and biopsy materials spanning all manner of common and rare pathologies and indications including Alzheimer's, basal cell carcinoma, bladder cancer, bone cancer, brain cancer, breast cancer, cerebrospinal fluid, amniotic fluid, colorectal cancer, colon cancer, hodgkins and non-hodgkins lymphoma, kidney/renal cancer, leukemia, liver cancer, lung cancer, melanoma, multiple sclerosis, myeloma neuroblastoma, neurodegenerative diseases, ovarian cancer, pancreatic cancer, prostate cancer, urinary cancer. This includes adult and pediatric indications. Specimen Central users specify a number of variables in their Specimen Requests, including preparation, preservation and handling requirements such as cryo-preserved, FFPE (Formalin-fixed paraffin-embedded), formalin, frozen, refrigerated, OCT, snap frozen, paraffin block, fresh, prospective, autopsy or cadaveric, etc. Many users require clinically annotated date associated with their specimens, as well as documentation of IRB or ethics committee approval and informed consents. For Researchers Most specimen databases require researchers to waste time and effort entering lengthy registrations and search queries that yield poor results, if anything. Specimen Central solves this problem by having tissue banks search for you. From years to months, months to weeks, and weeks to days, Specimen Central seeks to reduce delays and costs in the research & development life cycle by expediting connections between demand and supply. For Biobanks The capital costs of maintaining a biobank infrastructure are substantial and growing. Biobanks use Specimen Central as a marketing tool to augment their business development efforts. By routinely checking Specimen Central's Specimen Requests, biobanks can uncover market demand for their inventories and develop new connections and revenue streams to defray costs. Specimen Central supplements - not displaces - the efforts of your sales representatives, agents, brokers and commercial partners.

Proper citation: SpecimenCentral.com (RRID:SCR_003536) Copy   


http://www.ibcresearch.org/biobank/

The IBC Research Foundation BioBank is a secure, privacy-protected collection of biological specimens from ibc-diagnosed patients (cases, and, unlike the former George Washington University IBC Registry, ibc patients who have died, those who are under legal age, and those living but unable to make decisions for themselves, may be consented to participate in the IBC Research Foundation BioBank by their authorized representative) and from those not diagnosed with ibc (controls), volunteering following a consent decision making process, and signing an Informed Consent. Clinical Data and a comprehensive questionnaire will also be obtained for those diagnosed with ibc. The Inflammatory Breast Cancer Research Foundation (ibcRF) has established a BioBank and Clinical Database. The BioBank contains non-tumor RNA and DNA, tumor RNA and DNA, blocks and slides from diagnostic pathology, and medical records describing clinical and pathologic findings at diagnosis.

Proper citation: Inflammatory Breast Cancer Biobank (RRID:SCR_004556) Copy   


http://www3.marshfieldclinic.org/chg/pages/default.aspx?page=chg_pers_med_res_prj

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 9, 2023. A large collection of biological samples and health information collected for the Personalized Medicine Research Project (PMRP) for use in biological research. Genetic information from 20,000 participants forms a database enabling scientists to study which genes cause disease, which genes predict reactions to drugs, and how environment and genes work together to cause disease. The goal of this project is to learn how to apply genetic science to human health. This knowledge will help researchers develop new medications and diagnostic tests, and will enable physicians to prescribe medications that work best for a particular person. Marshfield Clinic Personalized Medicine Research Project (PMRP) resources currently available: DNA, plasma, serum, questionnaire, electronic medical records to construct phenotypes; ability to recontact subjects for additional information (where they have given consent for recontact); stored pathology specimens collected for clinical purposes; 51 clinically relevant polymorphisms; Illumina 660 quad for ~4200 subjects aged 50+.

Proper citation: Marshfield Clinic Biobank (RRID:SCR_004368) Copy   


  • RRID:SCR_004632

    This resource has 100+ mentions.

http://dbmi.mc.vanderbilt.edu/research/dnadatabank.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 11, 2023. BioVU is a research resource providing a View into biology at the level of DNA and other important macromolecules. BioVU has two major components. The first is a repository of DNA samples (extracted from discarded blood samples) that are coded solely by a Research Unique Identifier (RUI) derived from the Medical Record Number (MRN) using a one-way hash function. This is a computer algorithm that creates a transformation of each MRN such that the resulting RUI (which is in this instance is a 512 byte identifier) is unique, and has the property that it is not possible to infer or compute the MRN that generated it. As of early 2009, over 50,000 DNA samples were in the biobank, with new samples being added at the rate of approximately 700 per week. The second component of the resource is the creation of a database known as the Synthetic Derivative which is a collection of de-identified information extracted from VUMC''s electronic clinical information systems, indexed by the same one-way RUI used to track samples, and with content changed by deletion or permutation of all identifiers contained within each record. The Synthetic Derivative search interface is available to Vanderbilt researchers via the StarBRITE research portal created and maintained by the Vanderbilt Institute for Clinical and Translational Research. This user interface enables investigators meeting protocol approval criteria and other user agreement requirements to receive protocol-specific sets of data derived from DNA samples and from the Synthetic Derivative., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Vanderbilt BioVU (RRID:SCR_004632) Copy   


  • RRID:SCR_006340

    This resource has 10+ mentions.

http://phenotips.cs.toronto.edu/

A software tool providing a Web interface and a database back-end for collecting clinical symptoms and physical findings observed in patients with genetic disorders. The main goals of this software are * To allow for collecting patient data in standard formats, enabling effortless data exchange and automated search in annotated gene and disease databases, and * To provide advanced functionalities and a friendly user interface that help reduce the clinician''''s workload, permitting seamless use of this application within the clinician''''s routine. PhenoTips uses the Human Phenotype Ontology (HPO) to express clinical phenotypes, and provides a friendly interface with error-tolerant, predictive search of phenotypic descriptions. PhenoTips closely mirrors clinician workflows: observations can be recorded directly during the patient encounter, and the interface is compatible with any device that runs a modern Web browser. The clinician can record demographic information, family history, medical history, various standard measurements, phenotypic abnormalities detected in the patient, pertinent indications that were not observed and that can be helpful for differential diagnosis, relevant images depicting manifestations of the patient''''s disorders, and additional notes for each of these categories. The software automatically plots growth curves, selects phenotypes reflecting abnormal measurements, instantly finds OMIM disorders matching the phenotypic description and suggests other symptoms to investigate in order to reach a more accurate diagnosis.

Proper citation: PhenoTips (RRID:SCR_006340) Copy   


http://ki.se/ki/jsp/polopoly.jsp?d=29328&a=31530&l=en

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. Longitudinal Assessment of Clinical Course and BIOmarkers in severe Chronic AIRway Disease (BIOAIR) is a study within the European Network For Understanding Mechanisms Of Severe Asthma (ENFUMOSA). BIOAIR study involves studies of severe asthma. The 10% of all asthmatics who have the most difficult disease has a 5-year survival in level with severe cancer diseases, as well as account for half of the costs to society of asthma. Mechanisms for the development of severe asthma, however, is unknown. BIOAIR the project characterizes clinical Phenotype and biomarkers in a study involving 12 centers in nine European countries. In a longitudinal study comparing severe asthmatics with mild asthmatics and patients with COPD (Chronic obstructive pulmonary disease). Clinical data and medicine consumption are collected daily in over a year with the help of modern IT technology. Blood tests, urine samples, upphostningsprover and bronkialbiopsier are collected repeatedly and tested for a wide range of possible pathogenetic factors, including genotype.

Proper citation: BIOAIR - BIOmarkers in severe Chronic AIRway Disease (RRID:SCR_006007) Copy   


http://www.alz.washington.edu/

A clinical research, neuropathological research and collaborative research database that uses data collected from 29 NIA-funded Alzheimer's Disease Centers (ADCs). The database consists of several datasets, and searches may be done on the entire database or on individual datasets. Any researcher, whether affiliated with an ADC or not, may request a data file for analysis or aggregate data tables. Requested aggregate data tables are produced and returned as soon as the queue allows (usually within 1-3 days depending on the complexity).

Proper citation: National Alzheimer's Coordinating Center (RRID:SCR_007327) Copy   


  • RRID:SCR_008531

    This resource has 1+ mentions.

http://neurogenetics.nia.nih.gov

A suite of web-based open source software programs for clinical and genetic study. The aims of this software development in the Laboratory of Neurogenetics, NIA, NIH are * Build retrievable clinical data repository * Set up genetic data bank * Eliminate redundant data entries * Alleviate experimental error due to sample mix-up and genotyping error. * Facilitate clinical and genetic data integration. * Automate data analysis pipelines * Facilitate data mining for genetic as well as environmental factors associated with a disease * Provide an uniformed data acquisition framework, regardless the type of a given disease * Accommodate the heterogeneity of different studies * Manage data flow, storage and access * Ensure patient privacy and data confidentiality/security. The GERON suite consists of several self contained and yet extensible modules. Currently implemented modules are GERON Clinical, Genotyping, and Tracking. More modules are planned to be added into the suite, in order to keep up with the dynamics of the research field. Each module can be used separately or together with others into a seamless pipeline. With each module special attention has been given in order to remain free and open to the academic/government user., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: GERON (RRID:SCR_008531) Copy   


http://www.cristudy.org/Chronic-Kidney-Disease/Chronic-Renal-Insufficiency-Cohort-Study/

A prospective observational national cohort study poised to make fundamental insights into the epidemiology, management, and outcomes of chronic kidney disease (CKD) in adults with intended long-term follow up. The major goals of the CRIC Study are to answer two important questions: * Why does kidney disease get worse in some people, but not in others? * Why do persons with kidney disease commonly experience heart disease and stroke? The CRIC Scientific and Data Coordinating Center at Penn receives data and provides ongoing support for a number of Ancillary Studies approved by the CRIC Cohort utilizing both data collected about CRIC study participants as well as their biological samples. The CRIC Study has enrolled over 3900 men and women with CKD from 13 recruitment sites throughout the country. Following this group of individuals over the past 10 years has contributed to the knowledge of kidney disease, its treatment, and preventing its complications. The NIDDKwill be extending the study for an additional 5 years, through 2018. An extensive set of study data is collected from CRIC Study participants. With varying frequency, data are collected in the domains of medical history, physical measures, psychometrics and behaviors, biomarkers, genomics/metabolomics, as well as renal, cardiovascular and other outcomes. Measurements include creatinine clearance and iothalamate measured glomerular filtration rate. Cardiovascular measures include blood pressure, ECG, ABI, ECHO, and EBCT. Clinical CV outcomes include MI, ischemic heart disease-related death, acute coronary syndromes, congestive heart failure, cerebrovascular disease, peripheral vascular disease, and composite outcomes. The CRIC Study has delivered in excess of 150,000 bio-samples and a dataset characterizing all 3939 CRIC participants at the time of study entry to the NIDDKnational repository. The CRIC Study will also be delivering a dataset to NCBI''''s Database for Genotypes and Phenotypes.

Proper citation: Chronic Renal Insufficiency Cohort Study (RRID:SCR_009016) Copy   


http://cunorc.org/cores/clinical-core/

Core facility for the University of Colorado Anschutz Medical Campus Nutrition and Obesity Research Center. Core provides NORC members assistance with clinical research studies involving modification of body weight.

Proper citation: University of Colorado Anschutz Medical Campus Nutrition and Obesity Research Center Clinical Intervention and Translation Core Facility (RRID:SCR_015912) Copy   


https://sdrc.stanford.edu/sdrc-research-cores/dctc/home/

With the following services from the Diabetes Clinical and Translational Core (DCTC), members will receive training in biospecimen preservation, study design, data analysis, data management, use of statistical software and clinical trial conduct.

Proper citation: Stanford Diabetes Research Center Diabetes Clinical and Translational Core (RRID:SCR_016212) Copy   


https://sdrc.stanford.edu/sdrc-research-cores/dimc/home/

Core facility that provides immune monitoring assays at the RNA, protein, and cellular level, as well as archiving, reporting, and data mining support for clinical and translational studies related to Diabetes. The DIMC is a specialized subcore of the Human Immune Monitoring Center (HIMC) at Stanford.

Proper citation: Stanford Diabetes Research Center Diabetes Immune Monitoring Core (RRID:SCR_016210) Copy   


http://cpl.med.miami.edu/services/

Full service veterinary reference laboratory directed by members of faculty of University of Miami Miller School of Medicine. Offers clinical pathology and histopathology services to meet needs of avian, exotic, lab animal, and wildlife veterinarians. Services include Acute Phase Protein Laboratory. Provides recent diagnostic testing developments which may not yet be available in other veterinary diagnostic testing environments.

Proper citation: Miami University Veterinary Clinical Pathology Laboratory Core Facility (RRID:SCR_017822) Copy   


http://case.edu/medicine/ccir/imaging-research-core/

Core provides preclinical and clinical imaging instrumentation and techniques.Preclinical services include Bioluminescence,Fluorescence,In situ cryoimaging,Magnetic Resonance Imaging (MRI),Positron Emission Tomography (PET),Radiochemistry Synthesis, Scintigraphy,Ultrasound,X-ray / Computed Tomography (CT) / micro CT,Image Processing / Quantification clinical research imaging systems. Clinical services include Comprehensive MR imaging research services, Dedicated Siemens Skyra 3T MRI scanner, Large animal preclinical studies, or clinical human research may be conducted,Structural and functional brain scanning can be performed with Avotec LCD Projection System, Coodination of access to PET and CT scanners for additional preclinical and human imaging studies. Core includes PET radiopharmaceutical core facility. Core staff provide radiochemistry synthesis.

Proper citation: Case Western Reserve University Imaging Research Core Facility (RRID:SCR_017917) 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. Neuroscience Information Framework Resources

    Welcome to the NIF Resources search. From here you can search through a compilation of resources used by NIF 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 NIF 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 NIF then you can log in from here to get additional features in NIF 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 NIF 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 NIF 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