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https://brads.nichd.nih.gov/Home/

Access to data from the Division of Intramural Population Health Research (DIPHR) of the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) from completed studies, including biospecimens and ancillary data.

Proper citation: Biospecimen Repository Access and Data Sharing (RRID:SCR_017383) Copy   

•   Source: SciCrunch Registry

https://www.tfcheckpoint.org/

Collection of transcription factors annotated according to experimental and other evidence on their function as true DbTFs. Provides reference for both small scale experiments and genome scale studies. Curated compendium of specific DNA-binding RNA polymerase II transcription factors.

Proper citation: tfcheckpoint (RRID:SCR_023880) Copy   

•   Source: SciCrunch Registry

http://dataferrett.census.gov

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 20,2025. A data analysis and extraction tool from the US Census Bureaus with recoding capabilities to customize federal, state, and local data to suit your requirements. DataFerret works with the DataWeb, a network of online data libraries and an infrastructure for intelligent browsing. TheDataweb provides easy access to data from disparate locations across the internet using DataFerrett as its interface. It brings together demographic, economic, environmental, health, and other datasets that are usually separated by geography and/or organization.Using DataFerrett, you can develop an unlimited array of customized spreadsheets that are as versatile and complex as your usage demands. For a listing/description of datasets available using the DataFerrett refer to the Datasets Available tab. DataFerrett helps you locate and retrieve the data you need across the Internet to your desktop or system, regardless of where the data resides. You can develop and customize tables and select the results to create a graph or map for a visual depiction of your data. You can also save your data in the databasket and save the table you have created for reuse. The DataFerrett tool can use a java applet through an internet browser or be installed as an application on your desktop. The DataFerrett Applet requires you to have popup windows enabled in your browser for this website to function properly.

Proper citation: TheDataWeb and DataFerrett (RRID:SCR_003197) Copy   

•   Source: SciCrunch Registry

http://www.ifpcs.org/albinism/

Database of mutations associated with all major known forms of oculocutaneous and ocular albinism. The Albinism Database is part of the Locus Specific Mutation Databases of the Human Genome Variation Society and accepts the submission of new mutations. A link is provided for submission of new mutations. Columns in the database include: type of albinism, human locus, omim link, link to table of mutations and polymorphisms, and map of mutation locations.

Proper citation: Albinism database (RRID:SCR_000632) Copy   

•   Source: SciCrunch Registry

https://pmsiregistry.patientcrossroads.org/

International registry that consolidates information from individuals with Phelan-McDermid Syndrome into a single database, which will be utilized by researchers to understand Phelan-McDermid Syndrome better. In order to accelerate translational efforts (moving from basic laboratory research to meaningful health outcomes, such as therapies and treatments) related to Phelan-McDermid Syndrome, PMSF is funding the Phelan-McDermid Syndrome International Registry. The Registry is important for characterizing and understanding the syndrome better. Not only will the Registry provide valuable information for families and doctors to make the best care decisions possible, it will be important to help researchers decide what are the most important challenges to address. The Registry will also help scientists find out if there are any PMS patients who might be a good match for their research studies. Collecting information from PMS patients is very important, but protecting the privacy of people affected by PMS is also extremely important. In order to protect your privacy, Patient Crossroads (the company that designed the registry software) has designed many safeguards. Your child''s information will be de-identified so no one who looks at the data can identify you or your child. Your child''s information will be assigned a code. If a researcher is interested in learning more about your child, the researcher will ask the Patient Crossroads/PMSIR genetic counselor to contact you. A scientist will not be able to receive any identifying information about your child unless you give explicit consent for your child''s identity to be released to that researcher. BE PART OF OUR INTERNATIONAL REGISTRY The Registry will provide valuable information for families and doctors to make the best care decisions possible, and it will help researchers decide what are the most important challenges to address in PMS. Establishing the registry addresses two important scientific needs. First, scientists studying PMS need accurate, firsthand information to understand how PMS affects people. Second, scientists who are ready to start studies, such as those that test new treatments, will be able to access The Registry to identify people that may be eligible to participate in studies. In either case, your privacy is assured while the cause of research is advanced. While raw data about PMS will be available to scientists, they won''t have access to any identifying information about your child unless you agree to have your child''s identity released.

Proper citation: Phelan-McDermid Syndrome International Registry (RRID:SCR_004230) Copy   

•   Source: SciCrunch Registry

https://nfregistry.patientcrossroads.org/

A patient registry to identify people with neurofibromatosis (NF) who are interested in participating in clinical trials, as well as determining the commonality of specific characteristics of NF. The NF Registry is committed to secure methodologies and pioneering research that will lead to improving the health and well-being of individuals and families affected by NF. This registry has been created to collect data on large numbers of people with NF. This has never existed before and will help: * Identify people who may be eligible for clinical trials or other research studies being conducted in the field of NF. New clinical trials are launched each year yet challenges identifying participants too often mean that these studies finish late or never really get started. Today, 80 percent of trials fail to recruit enough volunteers within planned timelines. Under enrollment is one of the most significant problems facing NF drug development. Together, we can solve it. * Determine the commonality of specific NF characteristics. This will help researchers and doctors devise better ways to care for people with NF If you or your child has been diagnosed with neurofibromatosis (NF) please join the NF Registry today. It''s quick, it''s easy, and it matters. The key to treatments lies within you researchers can''t deliver treatments without committed volunteers.

Proper citation: NF Registry (RRID:SCR_006277) Copy   

•   Source: SciCrunch Registry

http://www.ataxia.org/research/patient-registry.aspx

A portal presenting the patient registries and databases of the National Ataxia Foundation. The registries include: Ataxia Patient Registry at CoRDS, Friedreich's Ataxia Research Alliance Patient Registry; the Fragile X Research Registry; Autosomal recessive spastic ataxia of Charlevoix-Saguenay ARSACS; and, Ataxia-Telangiectasia (A-T) Children's Project Family Data Base.

Proper citation: National Ataxia Foundation Patient Registries (RRID:SCR_005341) Copy   

•   Source: SciCrunch Registry

https://clinicaltrials.gov/ct2/show/NCT00014001

The NIMH-funded Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE) Study was a nationwide public health-focused clinical trial that compared the effectiveness of older (first available in the 1950s) and newer (available since the 1990s) antipsychotic medications used to treat schizophrenia. These newer medications, known as atypical antipsychotics, cost roughly 10 times as much as the older medications. CATIE is the largest, longest, and most comprehensive independent trial ever done to examine existing therapies for this disease. Schizophrenia is a brain disorder characterized by hallucinations, delusions, and disordered thinking. The course of schizophrenia is variable, but usually is recurrent and chronic, often causing severe disability. Previous studies have shown that taking antipsychotic medications consistently is far more effective than taking no medicine and that the drugs are necessary to manage the disease. The aim of the CATIE study was to determine which medications provide the best treatment for schizophrenia. Additional information may be found by following the links, http://www.nimh.nih.gov/trials/practical/catie/index.shtml, http://www.clinicaltrials.gov/ct/show/NCT00014001?order=1

Proper citation: CATIE - Clinical Antipsychotic Trials in Intervention Effectiveness (RRID:SCR_005615) Copy   

•   Source: SciCrunch Registry

http://brainhealthregistry.org/

A website aimed at recruiting and assessing subjects for all types of neuroscience studies with the internet. The hope is to accelerate various types of observational studies and clinical trials, and also reduce costs. They are interested in having people, including healthy subjects of all ages, join the registry. Joining only takes a few minutes. The web-based project is designed to speed up cures for Alzheimer's, Parkinson's and other brain disorders. It uses online questionnaires and online neuropsychological tests (which are very much like online brain games).

Proper citation: Brain Health Registry (RRID:SCR_010230) Copy   

•   Source: SciCrunch Registry

http://www.med.upenn.edu/idom/drc/cores/ria.html

Core which offers high quality immunoassay services to basic, translational, and clinical investigators performing diabetes and related metabolic disease research. The core also provides consultation and training and education services.

Proper citation: Penn Diabetes Research Center Radioimmunoassay and Biomarkers Core Facility (RRID:SCR_010028) Copy   

•   Source: SciCrunch Registry

http://fcon_1000.projects.nitrc.org/indi/pro/nyu.html

Datasets including a collection of scans from 49 psychiatrically evaluated neurotypical adults, ranging in age from 6 to 55 years old, with age, gender and intelligence quotient (IQ) information provided. Future releases will include more comprehensive phenotypic information, and child and adolescent datasets, as well as individuals from clinical populations. The following data are released for every participant: * At least one 6-minute resting state fMRI scan (R-fMRI) * * One high-resolution T1-weighted mprage, defaced to protect patient confidentiality * Two 64-direction diffusion tensor imaging scans * Demographic information (age, gender) and IQ-measures (Verbal, Performance, and Composite; Weschler Abbreviated Scale of Intelligence - WASI) * Most participants have 2 R-fMRI scans, collected less than 1 hour apart in the same scanning session. Rest_1 is always collected first.

Proper citation: NYU Institute for Pediatric Neuroscience Sample (RRID:SCR_010458) Copy   

•   Source: SciCrunch Registry

http://fcon_1000.projects.nitrc.org/indi/pro/VirginiaTech.html

Dataset including a T1 weighted anatomical image as well as two 10-minute resting state scans acquired during the same session from 25 psychiatrically screened healthy adults (community sample) ranging in age from 18 to 65 years old, with age, sex, education level, and ethnicity provided. Some subjects also returned several weeks after the first scan for a second scanning session. The number of days between scan sessions, for subjects that had two sessions, is indicated in the demographics spreadsheet. The study scanning protocol included: # 13 sec localizer # 4 minute 38 second T1 weighted anatomical # Subject given instructions for resting state scan #1 # 10 minute 4 second resting state scan #1 # Subject given instructions for resting state scan #2 # 10 minute 4 second resting state scan #2 Scanning was performed on one of three different 3T Siemens TIM TRIOs at the Human Neuroimaging Lab at Baylor College of Medicine in Houston, Texas. All scans were acquired using the standard Siemen''s TIM 12-channel head matrix. The resting state scans were acquired with a custom sequence that is a slight modification to the standard Siemen''s EPI sequence that supports real-time fMRI. Images were acquired slightly oblique to minimize dephasing in the orbito-frontal cortex. Detailed scanning parameters are included in separate .pdf files.

Proper citation: Virginia Tech Carilion Research Institute Sample (RRID:SCR_010459) Copy   

•   Source: SciCrunch Registry

https://labnodes.vanderbilt.edu/community/profile/id/2230

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 30,2023. Core facility that supports diabetes, endocrine, and metabolic research across a range of species. Its objective is to provide sensitive, reproducible, and inexpensive analyses of hormones, amino acids, and other relevant chemicals.

Proper citation: Vanderbilt Diabetes Research and Training Center Hormone Assay and Analytical Services Core Facility (RRID:SCR_010181) Copy   

•   Source: SciCrunch Registry

https://labnodes.vanderbilt.edu/community/profile/id/2229

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 30,2023. Core facility that provides any Vanderbilt researcher with access to imaging equipment and expert technical support for microscopy and analysis of tissue and cellular physiology.

Proper citation: Vanderbilt Diabetes Research and Training Center Cell Imaging Shared Resource Core Facility (RRID:SCR_010165) Copy   

•   Source: SciCrunch Registry

http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/6219

A public-use microdata sample focusing on the older population created from the 1990 census. This sample consists of 3 percent of households with at least one member aged 60 or older. Although, the highest age presented is age 90, this allows analysis of data on the very old for most states with a reasonable degree of reliability. Since data for all members in households containing a person 60 years and over will be on the file, users will be able to analyze patterns such as living arrangements and sources of household income from which older members may benefit. Additionally, users will be able to augment the PUMS-O sample with a PUMS file. The Census Bureau has issued two regular PUMS files for the entire population. One PUMS file will contain 1 percent of all households; the other PUMS file will contain 5 percent of all households. Both files have most sample data items, and differ only in geographical composition. The 1-percent file contains geographic areas that reflect metropolitan vs. non-metropolitan areas. The 5-percent file shows counties or groups of counties as well as large sub-county areas such as places of 100,000 or more. The geography on the 5-percent PUMS file matches that of the PUMS-O file. Since data for different households are present on the two files, users can merge the PUMS-O file with the 5-percent PUMS to construct an 8-percent sample. However, weighted averages must be constructed for any estimates created because each sample yields state-level estimates. Thus, it is possible to analyze substate areas even for the very old. In states where the geographic areas identified on the PUMS-O and the 5-percent PUMS are coterminous with State Planning and Service Areas (used by service providers in relation to the Older Americans Act), the Planning and Service Areas are identified. * Dates of Study: 1990-2000 Links: 1980: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/08101 2000: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/04204

Proper citation: Public Use Microdata Sample for the Older Population (RRID:SCR_010487) Copy   

•   Source: SciCrunch Registry

http://www.stsiweb.org/SWGR/

Whole genome sequencing data for 454 unrelated Scripps Wellderly Study participants with European ancestry from a project that is studying the genetic architecture of exceptional healthspan from a cohort comprised of more than 1300 healthy individuals over the age of 80 years. SWGR_v1.0 includes chromosome-specific VCF4.1 bgzipped and tabix indexed files. Annotations for each variant can be found at Scripps Genome ADVISER (SG-ADVISER, http://genomics.scripps.edu/) Additional data releases are expected.

Proper citation: Scripps Wellderly Genome Reference (RRID:SCR_010250) Copy   

•   Source: SciCrunch Registry

http://fcon_1000.projects.nitrc.org/indi/retro/cobre.html

Data set of raw anatomical and functional MR data from 72 patients with Schizophrenia and 75 healthy controls (ages ranging from 18 to 65 in each group). All subjects were screened and excluded if they had: history of neurological disorder, history of mental retardation, history of severe head trauma with more than 5 minutes loss of consciousness, history of substance abuse or dependence within the last 12 months. Diagnostic information was collected using the Structured Clinical Interview used for DSM Disorders (SCID). A multi-echo MPRAGE (MEMPR) sequence was used with the following parameters: TR/TE/TI = 2530/(1.64, 3.5, 5.36, 7.22, 9.08)/900 ms, flip angle = 7��, FOV = 256x256 mm, Slab thickness = 176 mm, Matrix = 256x256x176, Voxel size =1x1x1 mm, Number of echos = 5, Pixel bandwidth =650 Hz, Total scan time = 6 min. With 5 echoes, the TR, TI and time to encode partitions for the MEMPR are similar to that of a conventional MPRAGE, resulting in similar GM/WM/CSF contrast. Rest data was collected with single-shot full k-space echo-planar imaging (EPI) with ramp sampling correction using the intercomissural line (AC-PC) as a reference (TR: 2 s, TE: 29 ms, matrix size: 64x64, 32 slices, voxel size: 3x3x4 mm3). Slice Acquisition Order: Rest scan - collected in the Axial plane - series ascending - multi slice mode - interleaved MPRAGE - collected in the Sag plane - series interleaved - multi slice mode - single shot The following data are released for every participant: * Resting fMRI * Anatomical MRI * Phenotypic data for every participant including: gender, age, handedness and diagnostic information.

Proper citation: COBRE (RRID:SCR_010482) Copy   

•   Source: SciCrunch Registry

http://wwwcf.nlm.nih.gov/hsrr_search/view_hsrr_record_table.cfm?TITLE_ID=479&PROGRAM_CAME=toc_with_source2.cfm

Data set of annual questionnaires of a long-term prospective study of 1,337 former Johns Hopkins University medical students to identify precursors of premature cardiovascular disease and hypertension. The purpose of the study has broadened, however, as the cohort has aged. The study has been funded for 15 years. Participants were an average of 22 years of age at entry and have been followed to an average age of 69 years. Data are collected through annual questionnaires, supplemented with phone calls and substudies. Self-reports of diseases and risk factors have been validated. Every year from 1988 to 2003, anywhere from 2 to 6 questionnaires have been administered, in categories such as the following, which repeat periodically: Morbidity, Supplemental Illness, Health Behavior, Family and Career, Retirement, Job Satisfaction, Blood Pressure and Weight, Medications, Work Environment, Social Network, Diabetes, Osteoarthritis, Health Locus of Control, Preventive Health Services, General Health, Functional Limitations, Memory Functioning, Smoking, Religious Beliefs and Practices, Links with Administrative Data, National Death Index searches for all nonrespondents * Dates of Study: 1946-2003 * Study Features: Longitudinal * Sample Size: 1,337 (1946)

Proper citation: Precursors of Premature Disease and Death (RRID:SCR_010483) Copy   

•   Source: SciCrunch Registry

https://hddc.hms.harvard.edu/epithelial-cell-and-mucosal-immunology

Core facility that provides the infrastructure, biologic resources, expertise, and training for cross-disciplinary research on epithelial biology and immune function in mucosal surfaces and solid organs of the GI tract.

Proper citation: Harvard Digestive Diseases Center Biomedical CORE C: Epithelial Cell and Mucosal Immunology (RRID:SCR_015588) Copy   

•   Source: SciCrunch Registry

http://chaicore.com/home

Core that uses technologies to facilitate the translation of traditional evidence-based behavioral interventions into effective web- and mobile-based interventions in fields such as obesity and cancer prevention.

Proper citation: University of North Carolina at Chapel Hill Nutrition and Obesity Research Center Communication for Health Applications and Interventions Core (RRID:SCR_015461) Copy   

•   Source: SciCrunch Registry