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http://www.scrm.uzh.ch/biobank.html

The SCRM-CTBB offers state-of-the-art infrastructure and technologies (e.g. cryogenic work bench, semiautomatic cryogenic storage system, uninterrupted cooling chain) and is structured into two areas, including research and a GMP/GCP regulated therapeutic applications. Research: For pre-clinical studies, the SCRM-CTBB provides researchers guidance regarding cell and tissue cryo-preservation, comprising registration, handling, storage and distribution. In order to ensure complete traceability on samples and belonging information all processes are controlled by a Laboratory Information Management System (LIMS) and Quality Assurance (QA) system. The SCRM Biobank is designed to create database that allows connection with other biobanks nationally and internationally. This meta-data file will enable a unique scientific resource for interdisciplinary research. For every new study a contract is established describing the study and the disposition rights. Assistance in writing Biobank Agreements (BAs) and Material Transfer Agreements (MTAs) is provided. Therapeutical applications: As a new feature, apart from research, the SCRM Biobank enables the asservation and preservation of cells and tissues under GMP conditions for later therapeutic use. A special focus will be on a conceptional combination of private and public umbilical cord blood banking (hybrid banking), which allows autologous and/or allogeneic cell applications.

Proper citation: University of Zurich SCRM - Cell-and Tissue Biobank (RRID:SCR_004959) Copy   

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http://medicine.tamhsc.edu/irm/msc-distribution.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 29,2025. Center for cell line distribution and stock at Texas A&M Health Science Center College of Medicine Institute for Regenerative Medicine. Scott & White have received a grant funded by the NIH to provide well-characterized human adult stem cells, rat stem cells, and mouse stem cells to academic researchers worldwide upon request.

Proper citation: Texas A and M Health Science Center MSC Distribution (RRID:SCR_005522) Copy   

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http://ccr.coriell.org/Sections/Collections/CHDI/?SsId=45

HD Community BioRepository is a secure, centralized repository that stores and distributes quality-controlled, reliable research reagents. This repository currently provides access to huntingtin DNAs, polyclonal antibodies (with antigenic peptides) and cell lines. Monoclonal antibodies and hybridomas will be added in the near future. Working together with the Coriell Institute for Medical Research, CHDI Foundation established this secure, centralized repository to store and distribute quality-controlled and reliable research reagents to give research scientists unobstructed access to biomaterials and to support the discovery of therapeutics that will slow or prevent Huntington's disease. Huntington's disease is a fatal, familial disease caused by a mutation in the huntingtin gene. The mutation causes brain cells to malfunction, resulting in cognitive and physical impairments that, over the course of the disease, isolate and constrain the individual. There is currently no way to stop or reverse the course of Huntington's disease. Researchers currently not collaborating with CHDI Foundation may request these Huntington's disease resources from the HD Community BioRepository through the website; CHDI collaborators are asked to contact Mithra Mahmoudi at CHDI Management. Materials will be sent after completing a simple online MTA. Recipients are asked to cover the costs of shipping and handling. Persons with Huntington's disease bioresources interested in making them available to the research community through the HD Community BioRepository should also contact CHDI Management.

Proper citation: HD Community BioRepository (RRID:SCR_004621) Copy   

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http://clkb.ncibi.org

Public data warehouse for searching cell line data extracted from both ATCC and HyperCLDB. The knowledge base uses the Cell Line Ontology, created with the Protege ontology editing tool from the National Center for Biomedical Ontologies (NCBO) and merges concepts from other ontologies, including the Cell Type Ontology. The Cell Line Knowledge Base uses our Cell Line Ontology as the underlying data model. The ontology defines the following cell line attributes: Cell Line ID, Organism, Tissue, Pathology, Growth Mode, MeSH ID. To report errors in the data or to add cell line data to the knowledge base, please email: clbk-data (at) umich.edu

Proper citation: Cell Line Knowledge Base (RRID:SCR_005832) Copy   

•   Source: SciCrunch Registry

http://ccr.coriell.org/Sections/Collections/AUTISM/?SsId=13

A genetic resource to support the study of autism in families where more than one child is affected or where one child is affected and one demonstrates another significant and related developmental disorder. An open bank of anonymously collected materials documented by a detailed clinical diagnosis forms the basis of this growing database of information about the disease. The Autism Resource is housed at the Coriell Institute for Medical Research in New Jersey, which holds the world''s largest collection of human cells for use in genetic research. The Autism Research Resource has been built through a full collaboration between Coriell and clinical services at the UMDNJ-Robert Wood Johnson Medical school, New Brunswick campus, which provides clinical information and diagnosis. All clinical interviews were conducted face-to-face. Further multiplex families will be added to the resource in a continuing program of diagnosis and Repository development. The Autism Research Resource includes cell lines and DNA from families with more than one child who meets criteria for autistic disorder. An additional group of families is included in which monozygotic twins meet all criteria for autistic disorder. Also included in this resource, however, are families in which one child meets the criteria for autistic disorder while another child displays behavior with a broader phenotype of falling within the spectrum of autistic disorder. A small number of multiplex families is included in which one child meets all criteria for autistic disorder and a second has a behavioral disorder falling outside the autism spectrum. Pedigrees are provided for each family. Where clinical statements are noted for individuals other than the affected children and parent(s), these should be judged as reported. All family relationships have been verified by confirming the molecular identities, established using a panel of six microsatellite markers.

Proper citation: Autism Research Resource (RRID:SCR_004623) Copy   

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http://www.nationalstemcellbank.org/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 17, 2011. The US government contract funding the National Stem Cell Bank (NSCB) ended on February 28, 2010.
A repository for the pluripotent stem cells lines listed on the NIH Human Pluripotent Stem Cell Registry. These cells were derived prior to August 2001 using excess IVF embryos and were eligible for use in federally funded research under previous presidential policy. The eligibility of these lines will not be known until the NIH issues final stem cell guidelines in July 2009. The goal of the NSCB is to grow, characterize and distribute the cell lines listed on the registry, and to provide comprehensive technical support to stem cell researchers around the world.
Starting February 2, 2010, these materials can be ordered from the Wisconsin International Stem Cell Bank (the WISC Bank) operated by WiCell Research Institute, for delivery after February 28, 2010.

Proper citation: National Stem Cell Bank (RRID:SCR_004725) Copy   

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https://sfari.org/resources/simons-simplex-collection

Repository of genetic samples from approximately 3,000 families, each of which has one child affected with an Autism Spectrum Disorder (ASD) and parents unaffected with ASD. A central database characterizing all of the study subjects is available to any qualified researcher and biospecimens are freely available to SFARI grant holders, and to other researchers on a modest fee-for-use basis. Each genetic sample will have an associated collection of data that provides a precise characterization of the individual (phenotype). Rigorous phenotyping will maximize the value of the resource for a wide variety of future research projects into the causes and mechanisms of autism. The Simons Simplex Collection is operated by SFARI in collaboration with twelve university-affiliated research clinics.

Proper citation: Simons Simplex Collection (RRID:SCR_004644) Copy   

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http://www.bwhct.nhs.uk/wmrgl/biobank-cehrb

The Central England Haemato-Oncology Research Biobank stores excess material from oncology samples referred for diagnostic testing and disease monitoring at the West Midlands Regional Genetics Laboratory (WMRGL). The bank is housed within the WMRGL. Types of material stored include viable cells, fixed cell suspensions, DNA, RNA / cDNA, and plasma. The material is made available to all cancer research groups both locally and nationally. Excess sample (mainly from blood and bone marrow) is stored from diagnostic patient material and from samples received throughout their disease course. The WMRGL serves a population of about 5.5 million and is the largest UK NHS genetic Lab. Due to the large patient population CEHRB is able to collate sufficient research material from all classifications of neoplastic haematological disorders including those that are rare.

Proper citation: Central England Haemato-Oncology Research Biobank (RRID:SCR_004637) Copy   

•   Source: SciCrunch Registry

http://www.bioreliance.com/biorepository.aspx

The BioReliance Biorepository offers secure cell storage of eukaryotic, prokaryotic and viral biological materials. Our vapor phase liquid nitrogen and -80����??C freezers offer complete flexibility and protection. Each bank is certified free from mycoplasma and tested for sterility prior to storage and then divided and stored in separate validated vessels. Our continuously monitored facilities in US and UK follow cGMP.

Proper citation: BioReliance Biorepository (RRID:SCR_004598) Copy   

•   Source: SciCrunch Registry

http://ccr.coriell.org/Sections/Collections/Wistar/?SsId=74

Collection of cell lines developed by Wistar scientists that includes a group of hybridomas that produce monoclonal antibodies that are useful in influenza research and vaccine development, melanoma cell lines derived from patients with diseases ranging from mild dysplasia to advanced metastatic cancer and a range of human endothelial cell lines.

Proper citation: Wistar Institute Collection at Coriell (RRID:SCR_004660) Copy   

•   Source: SciCrunch Registry

http://nimhstemcells.org/

Induced Pluripotent Stem Cell (iPSC) and Source Cells available for distribution for postnatal-to-adult human control and patient-derived cells and their reprogrammed derivatives in support of stem cell research relevant to mental disorders. This includes but is not limited to anxiety disorders, attention deficit hyperactivity disorder, autism spectrum disorders, bipolar disorder, borderline personality disorder, depression, eating disorders, obsessive-compulsive disorder, panic disorder, post-traumatic stress disorder, and schizophrenia. The capabilities of the repository range from derivation and banking of primary source cells from postnatal through adult human subject tissue to more comprehensive banking and validation of induced pluripotent stem cells (iPSCs) or similar reprogrammed / de-differentiated cells. Please send a message with the Contact page if you wish to contribute source cells or iPSC.

Proper citation: NIMH Stem Cell Center (RRID:SCR_006682) Copy   

•   Source: SciCrunch Registry

http://www.icpsr.umich.edu/icpsrweb/NACDA/studies/02744/version/1

Data set of a follow-up study (one of four Established Populations for Epidemiologic Studies of the Elderly - EPESE) that obtains information on four primary outcome variables (cognitive status, depression, functional status, and mortality) and four primary independent variables (social support, social class, social location, and chronic illness); and examines the relationships between social factors and chronic disease on the one hand and health outcomes on the other. This data set complements the other three sites providing a population which is both urban and rural and contains approximately equal numbers of black and white participants across a broad socioeconomic base. The Duke site was originally funded by the NIA Epidemiology, Demography and Biometry Program (EDBP) to complete seven waves of data collection (three in-person and four telephone interviews) in order to examine the health of a sample of 4,162 persons aged 65+, and factors that influence their health and use of health services. The cohort was originally interviewed in 1986/87 and followed annually for 6 years thereafter. The study design consisted of a random stratified household sample with an over-sampling of blacks. Questionnaire topics include the following: Demographics, Alcohol Use, Independence, Health condition, Cognition, Personal mastery, Health Service Utilization, Activity of daily living, Social Support, Hearing and Vision, Incontinence, Social Interaction, Weight and Height, Smoking, Religion, Nutrition, Life Satisfaction, Self Esteem, Sleep, Medications, Economic Status, Depression, Life Changes, Blood pressure. National Death Index files have been searched and death certificates obtained for the members of this study. Sample members have been matched with Medicare Part A files to obtain information on hospitalizations, and will be matched on Medicare Part B (outpatient) files. Data from the first wave of the survey is in the public domain and can be obtained from NACDA or from the National Archives, Center for Electronic Records in Washington, DC. * Dates of Study: 1996-1997 * Study Features: Longitudinal, Oversampling * Sample Size: 1986-1988: 4,162 Links: * ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/02744 * National Archives: http://www.archives.gov/research/electronic-records/

Proper citation: Piedmont Health Survey of the Elderly (RRID:SCR_006349) Copy   

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http://www.physionet.org/physiobank/database/sleep-edf/

Sleep EEG dataset from 8 subjects in European Data Format (EDF) including original recordings and their hypnograms as described in B Kemp, AH Zwinderman, B Tuk, HAC Kamphuisen, JJL Obery��. Analysis of a sleep-dependent neuronal feedback loop: the slow-wave microcontinuity of the EEG. IEEE-BME 47(9):1185-1194 (2000). The recordings were obtained from Caucasian males and females (21 - 35 years old) without any medication; they contain horizontal EOG, FpzCz and PzOz EEG, each sampled at 100 Hz. The sc* recordings also contain the submental-EMG envelope, oro-nasal airflow, rectal body temperature and an event marker, all sampled at 1 Hz. The st* recordings contain submental EMG sampled at 100 Hz and an event marker sampled at 1 Hz. The 4 sc* recordings were obtained in 1989 from ambulatory healthy volunteers during 24 hours in their normal daily life, using a modified cassette tape recorder. The 4 st* recordings were obtained in 1994 from subjects who had mild difficulty falling asleep but were otherwise healthy, during a night in the hospital, using a miniature telemetry system with very good signal quality.

Proper citation: Sleep-EDF Database (RRID:SCR_006976) Copy   

•   Source: SciCrunch Registry

http://www.ifs.org.uk/ELSA

An interdisciplinary data resource on health, economic position and quality of life as people age. Longitudinal multidisciplinary data from a representative sample of the English population aged 50 and older have been collected. Both objective and subjective data are collected relating to health and disability, biological markers of disease, economic circumstance, social participation, networks and well-being. Participants are surveyed every two years to see how people''s health, economic and social circumstances may change over time. One of the study''s aims is to determine the relationships between functioning and health, social networks, resources and economic position as people plan for, move into and progress beyond retirement. It is patterned after the Health and Retirement Study, a similar study based in the United States. ELSA''s method of data collection includes face-to-face interview with respondents aged 50+; self-completion; and clinical, physical, and performance measurements (e.g., timed walk). Wave 2 added questions about quality of health care, literacy, and household consumption, and a visit by a nurse to obtain anthropometric, blood pressure, and lung function measurements, as well as saliva and blood samples, and to record results from tests of balance and muscle strength. Another new aspect of Wave 2 is the ''Exit Interview'' carried out with proxy informants to collect data about respondents who have died since Wave 1. This interview includes questions about the respondents'' physical and psychological health, the care and support they received, their memory and mood in the last year of their life, and details of what has happened to their finances after their death. Wave 3 data added questions related to mortgages and pensions. The intention is to conduct interviews every 2 years, and to have a nurse visit every 4 years. It also is envisioned that the ELSA data will ultimately be linked to available administrative data, such as death registry data, a cancer register, NHS hospital episodes data, National Insurance contributions, benefits, and tax credit records. The survey data are designed to be used for the investigation of a broad set of topics relevant to understanding the aging process. These include: * health trajectories, disability and healthy life expectancy; * the determinants of economic position in older age; * the links between economic position, physical health, cognition and mental health; * the nature and timing of retirement and post-retirement labour market activity; * household and family structure, social networks and social supports; * patterns, determinants and consequences of social, civic and cultural participation; * predictors of well-being. Current funding for ELSA will extend the panel to 12 years of study, giving significant potential for longitudinal analyses to examine causal processes. * Dates of Study: 2002-2007 * Study Features: Longitudinal, International, Anthropometric Measures * Sample Size: ** 2000-2003 (Wave 1): 12,100 ** 2004-2005 (Wave 2): 9,433 ** 2006-2007 (Wave 3): 9,771 ** 2008-2009 (Wave 4): underway Links * Economic and Social Data Service (ESDS): http://www.esds.ac.uk/longitudinal/about/overview.asp * ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/00139#scope-of-study

Proper citation: English Longitudinal Study of Ageing (RRID:SCR_006727) Copy   

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http://linux1.softberry.com/spldb/SpliceDB.html

Database of canonical and non-canonical mammalian splice sites. The information about verified splice site sequences for canonical and non-canonical sites is presented with the supporting evidence. Weight matrices were built for the major splice groups, which can be incorporated into gene prediction programs.

Proper citation: SpliceDB (RRID:SCR_006262) Copy   

•   Source: SciCrunch Registry

http://www.nimh.nih.gov/funding/clinical-trials-for-researchers/datasets/nimh-procedures-for-requesting-data-sets.shtml

A listing of data sets from NIMH-supported clinical trials. Limited Access Datasets are available from numerous NIMH studies. NIMH requires all investigators seeking access to data from NIMH-supported trials held by NIMH to execute and submit as their request the appropriate Data Use Certification pertaining to the trial. The datasets distributed by NIMH are referred to as limited access datasets because access is limited to qualified researchers who complete Data Use Certifications.

Proper citation: Limited Access Datasets From NIMH Clinical Trials (RRID:SCR_005614) Copy   

•   Source: SciCrunch Registry

http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/04432#summary

Data set from a long-term population-based prospective study of non-institutionalized residents (aged 21 or older, or aged 16-21 and older if married) in Alameda County, California investigating social and behavioral risk factors for morbidity, mortality, functioning and health. Questions were asked on marital and life satisfaction, parenting, physical activities, employment, health status, and childhood experiences. Demographic information on age, race, height, weight, education, income, and religion was also collected. Included with this dataset is a separate file (part 2) containing mortality data. With the aging of this cohort, data are becoming increasingly valuable for examining the life-long cumulative effects of social and behavioral factors on a well-characterized population. The first wave collected information for 6,928 respondents (including approximately 500 women aged 65 years and older) on chronic health conditions, health behaviors, social involvements, and psychological characteristics. The 1974 questionnaire was sent to 6,246 living subjects who had responded in 1965, and were able to be located. The third wave provides a follow-up of 2,729 original 1965 and 1974 respondents and examines health behaviors such as alcohol consumption and smoking habits, along with social activities. Also included is information on health conditions such as diabetes, osteoporosis, hormone replacement, and mental illness. Another central topic investigated is activities of daily living (including self-care such as dressing, eating, and shopping), along with use of free time and level of involvement in social, recreational, religious, and environmental groups. The fourth wave is a follow-up to the 1994 panel and examines changes in functional abilities such as self-care activities, employment, involvement in community activities, visiting friends/family, and use of free time since 1994. * Dates of Study: 1965-1999 * Sample Size: 1965: 6,928; 1974: 4,864; 1994: 2,729; 1995: 2,569, 1999: 2,123 * Study Features: Longitudinal Links: * 1965 ICPSR, http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06688 * 1974 ICPSR, http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06838 * 1994 and 1995 ICPSR, http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/03083 * 1999 ICPSR, http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/04432#summary

Proper citation: Alameda County Health and Ways of Living Study (RRID:SCR_008889) Copy   

•   Source: SciCrunch Registry

http://www.nber.org/papers/h0038

A dataset to advance the study of life-cycle interactions of biomedical and socioeconomic factors in the aging process. The EI project has assembled a variety of large datasets covering the life histories of approximately 39,616 white male volunteers (drawn from a random sample of 331 companies) who served in the Union Army (UA), and of about 6,000 African-American veterans from 51 randomly selected United States Colored Troops companies (USCT). Their military records were linked to pension and medical records that detailed the soldiers������?? health status and socioeconomic and family characteristics. Each soldier was searched for in the US decennial census for the years in which they were most likely to be found alive (1850, 1860, 1880, 1900, 1910). In addition, a sample consisting of 70,000 men examined for service in the Union Army between September 1864 and April 1865 has been assembled and linked only to census records. These records will be useful for life-cycle comparisons of those accepted and rejected for service. Military Data: The military service and wartime medical histories of the UA and USCT men were collected from the Union Army and United States Colored Troops military service records, carded medical records, and other wartime documents. Pension Data: Wherever possible, the UA and USCT samples have been linked to pension records, including surgeon''''s certificates. About 70% of men in the Union Army sample have a pension. These records provide the bulk of the socioeconomic and demographic information on these men from the late 1800s through the early 1900s, including family structure and employment information. In addition, the surgeon''''s certificates provide rich medical histories, with an average of 5 examinations per linked recruit for the UA, and about 2.5 exams per USCT recruit. Census Data: Both early and late-age familial and socioeconomic information is collected from the manuscript schedules of the federal censuses of 1850, 1860, 1870 (incomplete), 1880, 1900, and 1910. Data Availability: All of the datasets (Military Union Army; linked Census; Surgeon''''s Certificates; Examination Records, and supporting ecological and environmental variables) are publicly available from ICPSR. In addition, copies on CD-ROM may be obtained from the CPE, which also maintains an interactive Internet Data Archive and Documentation Library, which can be accessed on the Project Website. * Dates of Study: 1850-1910 * Study Features: Longitudinal, Minority Oversamples * Sample Size: ** Union Army: 35,747 ** Colored Troops: 6,187 ** Examination Sample: 70,800 ICPSR Link: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06836

Proper citation: Early Indicators of Later Work Levels Disease and Death (EI) - Union Army Samples Public Health and Ecological Datasets (RRID:SCR_008921) Copy   

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http://degradome.uniovi.es/domains.html

Domains found in human and mouse proteases colour-coded according to the catalytic class in which they appear. Some of them appear in more than one catalytic group, and two-colours are used. Yellow, aspartyl proteases; blue, cysteine proteases; green, metalloproteases; and red, serine proteases.

Proper citation: Ancillary Domains Associated With Human and Mouse Proteases (RRID:SCR_008363) Copy   

•   Source: SciCrunch Registry

http://mialab.mrn.org/data/index.html

An MRI data set that demonstrates the utility of a mega-analytic approach by identifying the effects of age and gender on the resting-state networks (RSNs) of 603 healthy adolescents and adults (mean age: 23.4 years, range: 12-71 years). Data were collected on the same scanner, preprocessed using an automated analysis pipeline based in SPM, and studied using group independent component analysis. RSNs were identified and evaluated in terms of three primary outcome measures: time course spectral power, spatial map intensity, and functional network connectivity. Results revealed robust effects of age on all three outcome measures, largely indicating decreases in network coherence and connectivity with increasing age. Gender effects were of smaller magnitude but suggested stronger intra-network connectivity in females and more inter-network connectivity in males, particularly with regard to sensorimotor networks. These findings, along with the analysis approach and statistical framework described, provide a useful baseline for future investigations of brain networks in health and disease.

Proper citation: MIALAB - Resting State Data (RRID:SCR_008914) Copy   

•   Source: SciCrunch Registry