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 5 showing 81 ~ 100 out of 2,379 results
Snippet view Table view Download Top 1000 Results
Click the to add this resource to a Collection

http://www.has-sante.fr/portail/jcms/r_1455134/en/

An independent public scientific authority responsible for promoting the quality and safety of patient care and to guarantee equity within the healthcare system. HAS activities are diverse ranging from assessment of drugs, medical devices, and procedures to publication of guidelines to accreditation of healthcare organisations and certification of doctors. All are based on rigorously acquired scientific expertise. Training in quality issues and information provision are also key components of its work program.

Proper citation: French National Authority for Health (RRID:SCR_011238) Copy   


http://www.georgeinstitute.org/

An independent medical research institute dedicated to improving global health that conducts high impact research that targets preventable illnesses and injuries that are the leading causes of death and disability worldwide, including heart and kidney disease, stroke, diabetes, mental illness, falls and traffic crashes. (Adapted from Wikipedia)

Proper citation: George Institute for Global Health (RRID:SCR_011212) Copy   


http://www.imb-jena.de

Institute whose mission is to understand the molecular mechanisms that underlie the aging process and that lead to age-related diseases. They hope that eventually this knowledge can contribute to a more healthy aging of people. The central question they are aiming at answering is, What are the molecular mechanisms and genetic factors contributing to the evolution of cellular and organismal dysfunction during human aging?

Proper citation: Leibniz Institute for Age Research (RRID:SCR_011340) Copy   


http://www.nichd.nih.gov/

A national institute that investigates human development throughout the entire life process, focusing on understanding developmental disabilities, including intellectual and developmental disabilities, and illuminating important events that occur during pregnancy. The NICHD conducts and supports laboratory research, clinical trials, and epidemiological studies that explore health processes; examines the impact of disabilities, diseases, and defects on the lives of individuals; and sponsors training programs for scientists, doctors, and researchers to ensure that NICHD research can continue. The Institute also supports research training across all its programs. In addition, an overarching responsibility of the NICHD is to disseminate information that emanates from Institute research programs to researchers, practitioners, other health care professionals, and the public.

Proper citation: National Institute of Child Health and Human Development (RRID:SCR_011429) Copy   


http://www.seattlechildrens.org/research/

A top five pediatric research center in the nation that brings together the best minds in pediatric research to set new standards of pediatric care and find new cures for childhood diseases. Their goal is that every patient at Seattle Children''s has the opportunity to participate in, or benefit from, their groundbreaking research. The research institute is organized into nine centers, each one specializing in areas like cancer immunotherapy, neuroscience and child health and behavior. The centers are supported by faculty from the Treuman Katz Center for Pediatric Bioethics , the nation''s first pediatric bioethics center.

Proper citation: Seattle Childrens Research Institute; Washington; USA (RRID:SCR_011520) Copy   


  • RRID:SCR_010683

    This resource has 1+ mentions.

http://www.allosource.org/

AlloSource is a non-profit organization founded in 1994 on a promise to honor and respect the gift of donation by responsibly developing, processing and distributing life-saving and life-enhancing allografts for our communities. Today, each of our 300 employees continues to fulfill this promise through multi-shift, 360-day processing to the highest quality and service standards. We strive to be the tissue network patients and the world''s most respected transplant teams ask for by name. This is accomplished by understanding the needs of our doctors and by providing the best tissue for our recipients. We offer more than 200 standard and customized precision allograft products, and act as a trusted and knowledgeable partner to the medical community, all with the intention of maximizing medical impact. In 1995, Allosource evolved from a local tissue bank in Denver, Colorado into a national organization serving communities around the country. Today, AlloSource is one of the largest, most respected tissue banks in the United States. Through our growth we''ve remained committed to the wishes of donor families, the needs of our surgeon customers, and the hopes of our patient recipients. Our promise of doing more with life reflects our unwavering focus on integrity, quality, safety, and respect today, and into the future.

Proper citation: AlloSource (RRID:SCR_010683) Copy   


  • RRID:SCR_010497

http://www.alkermes.com/

A biopharmaceutical company that focuses on central nervous system (CNS) diseases. The company is the result of a merger between Alkermes, Inc. and Elan Drug Technologies (EDT), the former drug formulation and manufacturing division of Elan Corporation, plc. The company is headquartered in Dublin, and has an R&D center in Waltham, Massachusetts and manufacturing facilities in Athlone, Ireland; Gainesville, Georgia; and Wilmington, Ohio. Alkermes has more than 20 commercial drug products and candidates that address serious and chronic diseases such as addiction, schizophrenia, diabetes and depression. Among these, five products are primary to the company: risperidone Long-Acting Injection (Risperdal Consta) for schizophrenia and bipolar 1 disorder, paliperidone palmitate (Invega Sustenna in the U.S., Xeplion in Europe) for schizophrenia, 4-aminopyridine (Ampyra in the U.S., Fampyra in Europe) to improve walking in patients with multiple sclerosis, naltrexone for extended-release injectable suspension (Vivitrol) for alcohol and opioid dependence, and exenatide extended-release for injectable suspension (Bydureon) for the treatment of type 2 diabetes. Bydureon is a once-weekly, long-acting form of the drug exenatide (Byetta) and was developed through a partnership between Amylin, Alkermes and Eli Lilly. It is approved in Europe and the U.S. (Wikipedia)

Proper citation: Alkermes (RRID:SCR_010497) Copy   


  • RRID:SCR_010838

    This resource has 1+ mentions.

http://compgenomics.utsa.edu/gene/gene_1.php

A Bayesian decision fusion algorithm for microRNA target prediction that combines the prediction of TargetScan, miRanda, PicTar, mirTarget, PITA, and DianamicroT. Users enter a Ref_seq ID for a query target gene and select a miRNA, which BCmicrO will use in its predictive algorithm. The prediction results can then be downloaded.

Proper citation: BCmicrO (RRID:SCR_010838) Copy   


  • RRID:SCR_010741

    This resource has 100+ mentions.

http://www.integralife.com/

Commercial tissue bank for human tissues.

Proper citation: Integra Life Sciences (RRID:SCR_010741) Copy   


  • RRID:SCR_010963

    This resource has 10+ mentions.

http://www.complex.iastate.edu/download/Picky/

A software tool for selecting optimal oligonucleotides (oligos) that allows the rapid and efficient determination of gene-specific oligos based on given gene sets, and can be used for large, complex genomes such as human, mouse, or maize.

Proper citation: Picky (RRID:SCR_010963) Copy   


  • RRID:SCR_002416

    This resource has 10+ mentions.

http://www.udel.edu/Biology/Wags/histopage/colorpage/cne/cne.htm

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 13,2026. An image collection of tissue from the central nervous system and peripheral nervous system.

Proper citation: Nervous Tissue Color Images (RRID:SCR_002416) Copy   


  • RRID:SCR_000155

http://www.birncommunity.org/current-users/morphometry-birn/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 4th,2023. Calibration data set of spoiled gradient-recalled echo magnetic resonance imaging data from five healthy volunteers (four males and one female) scanned twice at four sites having 1.5T systems from different vendors (Siemens, GE, Marconi Medical Systems) pooled by the Morphometry Testbed's (MBIRN). Some subjects were also scanned a single time at another site. One subject was only scanned twice at three sites (subject 73213384) and once at another site. For each subject, four Fast Low-Angle Shot (FLASH) scans with flip angles of 3, 5, 20, and 30 degrees were obtained in a single scan session, from which tissue proton density and T1 maps can be derived. These data were acquired to investigate various metrics of within-site and across-site reproducibility. The images have been defaced so that no facial features can be reconstructed from these data. The Morphometry Testbed (MBIRN) of the Biomedical Informatics Research Network (BIRN) focused on pooling and analyzing of neuroimaging data acquired at multiple sites. Specific applications include potential relationships between anatomical differences and specific memory dysfunctions, such as Alzheimer's disease. With the completion of the initial BIRN testbed phase, each of the original BIRN testbeds have now been retired in order to focus on new users in other biomedical domains.

Proper citation: Morphometry BIRN (RRID:SCR_000155) Copy   


http://lehd.did.census.gov/led/

A dataset that combines federal and state administrative data on employers and employees with core Census Bureau censuses and surveys, while protecting the confidentiality of people and firms that provide the data. This data infrastructure facilitates longitudinal research applications in both the household / individual and firm / establishment dimensions. The specific research is targeted at filling an important gap in the available data on older workers by providing information on the demand side of the labor market. These datasets comprise Title 13 protected data from the Current Population Surveys, Surveys of Income and Program Participation, Surveys of Program Dynamics, American Community Surveys, the Business Register, and Economic Censuses and Surveys. With few exceptions, states have partnered with the Census Bureau to share data. As of December 2008, Connecticut, Massachusetts, New Hampshire and Puerto Rico have not signed a partnership agreement, while a partnership with the Virgin Islands is pending. LEHD's second method of developing employer-employee data relations through the use of federal tax data has been completed. LEHD has produced summary tables on accessions, separation, job creation, destruction and earnings by age and sex of worker by industry and geographic area. The data files consist of longitudinal datasets on all firms in each participating state (quarterly data, 1991- 2003), with information on age, sex, turnover, and skill level of the workforce as well as standard information on employment, payroll, sales and location. These data can be accessed for all available states from the Project Website. Data Availability: Research conducted on the LEHD data and other products developed under this proposal at the Census Bureau takes place under a set of rules and limitations that are considerably more constraining than those prevailing in typical research environments. If state data are requested, the successful peer-reviewed proposals must also be approved by the participating state. If federal tax data are requested, the successful peer-reviewed proposals must also be approved by the Internal Revenue Service. Researchers using the LEHD data will be required to obtain Special Sworn Status from the Census Bureau and be subject to the same legal penalties as regular Census Bureau employees for disclosure of confidential information. Basic instructions on how to download the data files and restrictions can be found on the Project Website. * Dates of Study: 1991-present * Study Features: Longitudinal * Sample Size: 48 States or U.S. territories

Proper citation: Longitudinal Employer-Household Dynamics (RRID:SCR_000817) Copy   


http://crag.uab.edu/crag/active.asp

Data set from a randomized controlled trial of cognitive interventions designed to maintain functional independence in elders by improving basic mental abilities. Several features made ACTIVE unique in the field of cognitive interventions: (a) use of a multi-site, randomized, controlled, single-blind design; (b) intervention on a large, diverse sample; (c) use of common multi-site intervention protocols, (d) primary outcomes focused on long-term, cognitively demanding functioning as measured by performance-based tests of daily activities; and (e) an intent-to-treat analytical approach. The clinical trial ended with the second annual post-test in January 2002. A third annual post-test was completed in December 2003. The area population and recruitment strategies at the six field sites provided a study sample varying in racial, ethnic, gender, socioeconomic, and cognitive characteristics. At baseline, data were collected by telephone for eligibility screening, followed by three in-person assessment sessions, including two individual sessions and one group session, and a self-administered questionnaire. At post-tests, data were collected in-person in one individual session and one group session as well as by self-administered questionnaire. There were four major categories of measures: proximal outcomes (measures of cognitive abilities that were direct targets of training), primary outcomes (measures of everyday functioning, both self-report and performance), secondary outcomes (measures of health, mobility, quality of life, and service utilization), and covariates (chronic disease, physical characteristics, depressive symptoms, cognitive impairment, psychosocial variables, and demographics). Phase I of ACTIVE was a randomized controlled, single-blind trial utilizing a four-group design, including three treatment arms and a no-contact control group. Each treatment arm consisted of a 10-session intervention for one of three cognitive abilities memory, reasoning, and speed of processing. Testers were blind to participant treatment assignment. The design allowed for testing of both social contact effects (via the contact control group) and retest effects (via the no-contact control group) on outcomes. Booster training was provided in each treatment arm to a 60% random subsample prior to first annual post-test. Phase II of ACTIVE started in July, 2003 as a follow-up study focused on measuring the long-term impact of training effects on cognitive function and cognitively demanding everyday activities. The follow-up consisted of one assessment to include the Phase I post-test battery. This was completed in late 2004.

Proper citation: Advanced Cognitive Training for Independent and Vital Elderly (ACTIVE) (RRID:SCR_000813) Copy   


http://www.ninds.nih.gov/disorders/disorder_index.htm

Reference disease data set of neurological diseases along with their definitions, etiology, treatment, prognosis, ongoing research, clinical trials information and publications. The Disorder Index includes synonyms and research topics. Navigation is by letter of the alphabet., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: NINDS Disorder Index (RRID:SCR_000433) Copy   


  • RRID:SCR_000859

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

A reference MINC set of files that currently includes human head images only of standard modalities. The goal is to build a well curated collection of files that demonstrate the capabilities of MINC

Proper citation: MINC Example files (RRID:SCR_000859) Copy   


  • RRID:SCR_002370

    This resource has 100+ mentions.

http://www.mortality.org/

A database providing detailed mortality and population data to those interested in the history of human longevity. For each country, the database includes calculated death rates and life tables by age, time, and sex, along with all of the raw data (vital statistics, census counts, population estimates) used in computing these quantities. Data are presented in a variety of formats with regard to age groups and time periods. The main goal of the database is to document the longevity revolution of the modern era and to facilitate research into its causes and consequences. New data series is continually added to this collection. However, the database is limited by design to populations where death registration and census data are virtually complete, since this type of information is required for the uniform method used to reconstruct historical data series. As a result, the countries and areas included are relatively wealthy and for the most part highly industrialized. The database replaces an earlier NIA-funded project, known as the Berkeley Mortality Database. * Dates of Study: 1751-present * Study Features: Longitudinal, International * Sample Size: 37 countries or areas

Proper citation: Human Mortality Database (RRID:SCR_002370) 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   


  • RRID:SCR_001581

    This resource has 1+ mentions.

http://archive.ics.uci.edu/ml/datasets/EEG+Database

Data set from a large study to examine EEG correlates of genetic predisposition to alcoholism. It contains measurements from 64 electrodes placed on the scalp sampled at 256 Hz (3.9-msec epoch) for 1 second. There were two groups of subjects: alcoholic and control. Each subject was exposed to either a single stimulus (S1) or to two stimuli (S1 and S2) which were pictures of objects chosen from the 1980 Snodgrass and Vanderwart picture set. When two stimuli were shown, they were presented in either a matched condition where S1 was identical to S2 or in a non-matched condition where S1 differed from S2. There were 122 subjects and each subject completed 120 trials where different stimuli were shown. The electrode positions were located at standard sites (Standard Electrode Position Nomenclature, American Electroencephalographic Association 1990). Zhang et al. (1995) describes in detail the data collection process. There are three versions of the EEG data set. * The Small Data Set (smni97_eeg_data.tar.gz) contains data for the 2 subjects, alcoholic a_co2a0000364 and control c_co2c0000337. For each of the 3 matching paradigms, c_1 (one presentation only), c_m (match to previous presentation) and c_n (no-match to previous presentation), 10 runs are shown. * The Large Data Set (SMNI_CMI_TRAIN.tar.gz and SMNI_CMI_TEST.tar.gz) contains data for 10 alcoholic and 10 control subjects, with 10 runs per subject per paradigm. The test data used the same 10 alcoholic and 10 control subjects as with the training data, but with 10 out-of-sample runs per subject per paradigm. * The Full Data Set contains all 120 trials for 122 subjects. The entire set of data is about 700 MBytes.

Proper citation: EEG Database (RRID:SCR_001581) Copy   


  • RRID:SCR_002310

    This resource has 10+ mentions.

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

Expertly collected, well-curated data sets consisting of comprehensive clinical characterization and raw structural, functional and diffusion-weighted DICOM images in schizophrenia patients and gender and age-matched controls are now accessible to the scientific community through an on-line data repository (coins.mrn.org). This data repository will be useful to 1) educators in the fields of neuroimaging, medical image analysis and medical imaging informatics who need exemplar data sets for courses and workshops; 2) computer scientists and software algorithm developers for testing and validating novel registration, segmentation, and other analysis software; and 3) scientists who can study schizophrenia by further analysis of this cohort and/or by pooling with other data.

Proper citation: MCIC (RRID:SCR_002310) 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. PRECISE-TBI Resources

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