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http://www.nltcs.aas.duke.edu/index.htm

A data set of a longitudinal survey designed to study changes in the health and functional status of older Americans (aged 65+). It also tracks health expenditures, Medicare service use, and the availability of personal, family, and community resources for caregiving. The survey began in 1982, and follow-up surveys were conducted in 1984, 1989, 1994, 1999, and 2004. The surveys are of the entire Medicare-enrolled aged population with a particular emphasis on the functionally impaired. As sample persons are followed through the Medicare record system, virtually 100% of cases can be longitudinally tracked so that declines, as well as increases, in disability may be identified as well as exact dates of death. NLTCS sample persons are followed until death and are permanently and continuously linked to the Medicare record system from which they are drawn. Linkage to the Medicare Part A and B service use records extends from 1982 to 2004, so that detailed Medicare expenditures and types of service use may be studied. Through the careful application of methods to reduce non-sampling error, the surveys provide nationally representative data on: * The prevalence and patterns of functional limitations, both physical and cognitive; * Longitudinal and cohort patterns of change in functional limitation and mortality over 22 years; * Medical conditions and recent medical problems; * Health care services used; * The kind and amount of formal and informal services received by impaired individuals and how it is paid for; * Demographic and economic characteristics like age, race, sex, marital status, education, and income and assets; * Out-of-pocket expenditures for health care services and other sources of payment; * Housing and neighborhood characteristics. In each of the six surveys, large samples (N~20,000) of the oldest-old population (i.e., those 85 and over) are obtained. The survey data (i.e., detailed community and institutional interviews. The linkage to Medicare enrollment files between 1982 and 2004 was 100%, i.e., there was complete follow-up of all cases (including survey non-respondents) for Medicare eligibility (and for most years, detailed Part A and B use), mortality, and date of death. Medicare mortality records (and dates of death) are available for 1982 to 2005. The number of deaths (i.e., about 32,000 from 1982 to 2005) is large enough that detailed mortality analyses can be done. Over the 22 years spanned by the six surveys, a total of 49,242 distinct individuals were followed from and linked to Medicare records. Data Availability: The data are available through ICPSR as Study No. 9681. The data are available only on CD-ROM and only upon completion of a signed Data Use Agreement. Continuously linked Medicare data (1982 through 2004) for the National Long Term Care Surveys are only available from CMS. * Dates of Study: 1982-2004 * Study Features: Longitudinal, Anthropometric Measures * Sample Size: ** 1982: 20,485 ** 1984: 25,401 ** 1989: 17,565 ** 1994: 19,171 ** 1999: 19,907 ** 2004: 20,474 Link: * ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/09681

Proper citation: National Long Term Care Survey (RRID:SCR_008943) Copy   


http://www.ohsu.edu/xd/research/centers-institutes/neurology/alzheimers/research/data-tissue/biomarkers-genetics.cfm

A center that works with the Oregon Alzheimer's Disease Center's Data Core, and collects and stores tissue samples, family history and genotype data of various populations. These include samples and data from subjects from the following sources: OADC clinical studies, the Oregon Brain Aging Study, the Community Brain Donor Program, the Preventing Cognitive Decline with Alternative Therapies program (informally called the Dementia Prevention Study or DPS), the African American Dementia and Aging Project, and the Klamath Exceptional Aging Project. The collected data samples include genomic DNA, lymphoblast cell lines, genome-wide and candidate region SNP marker data, APOE, AD candidate gene markers.

Proper citation: Layton Center Biomarkers and Genetics (RRID:SCR_008824) Copy   


  • RRID:SCR_008937

    This resource has 1+ mentions.

http://www.icpsr.umich.edu/icpsrweb/NACDA/studies/09915/version/3

A data set and sister study to the Established Populations for Epidemiologic Study of the Elderly (EPESE). It complements the findings of the three other EPESE sites (East Boston, MA; New Haven, CT; and north-central North Carolina) and has common items and methods in many domains. The target population was all persons 65 years and older in two rural counties in east central Iowa: Iowa and Washington counties. In 1981 a census of older persons in the target area was conducted by the investigators, creating an ascertainment list having 99% of the persons identified in the previous year by the US Decennial Census. The baseline survey was conducted between December 1991 and August 1992. Overall, 3,673 persons, or 80% of the target population were interviewed: 65-69 (N = 986), 70-74 (N = 988), 75-79 (N = 815), 80-84 (N = 523), and 85+ (N = 361). The population is virtually entirely Caucasian. Subsequently, personal follow-up surveys were conducted 3, 6, and 10 years after the baseline survey. Telephone surveys were conducted 1, 2, 4, 5, and 7 years after the baseline survey. Data collected from respondents included information about demographics, major health conditions, health care utilization, hearing and vision, weight and height, elements of nutrition, sleep problems, depressive and anxiety symptoms, alcohol and tobacco use, cognitive performance and dementia screening, incontinence measures, life satisfaction index, social networks and support, worries, medication use, activities of daily living, dental problems, satisfaction with medical care, life events, brief economic status, automobile driving habits, multiple measures of physical and disability status, and blood pressure. At follow-up #6, there were a series of physical function performance tests, the so-called NIA-MacArthur Battery, and blood was drawn for biochemical tests and potentially other determinations. In addition, some datasets were linked to the EPESE dataset under appropriate restrictions, including Iowa state driving records and clinical diagnoses and medical care utilization from the Centers for Medicare and Medicaid Services. Data Availability: The dataset has been shared with several investigative teams under special arrangement with the Principal Investigator. Early surveys are available from ICPSR. A small storage of blood is available for exploratory analyses. * Dates of Study: 1991-2001 * Study Features: Longitudinal, Anthropometric Measures, Biomarkers * Sample Size: 1991-2: 3,673 (baseline) Link: EPESE 1981-93 ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/09915

Proper citation: Iowa 65+ Rural Health Study (RRID:SCR_008937) Copy   


http://www.seattle.eric.research.va.gov/VETR/biospecimen_repository.asp

The Vietnam Era Twin (VET) Registry maintains a repository of biological specimens obtained from Registry members. The VET Registry Biospecimen Repository includes DNA, plasma, and serum samples obtained from selected VET Registry members. As the VET Registry is a national resource for studies investigating genetic and non-genetic influences on health and disease in middle age men, this enhances the value of the information collected from VET Registry members to the research community. The VET Registry has developed a general system of protocols for the collection and storage of biological specimens that assures confidentiality for all participants. The biological specimens currently in use are stored at the R&D Core Laboratory at the VA Puget Sound Health Care System (VAPSHCS) in Seattle, WA. The R&D Core Laboratory performs DNA extraction procedures and separates out DNA, plasma, and serum for testing and storage. It is important to note that Core Laboratory staff has absolutely no phenotypic (non-genetic) information about VET Registry members, as the lab is completely blinded to the identity, disease characteristics, and any other research data collected from VET Registry members. The Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC) Core Laboratory is located at the VA Boston Health Care System in Boston, MA, and serves as the long-term storage site for the VET Registry Biospecimen Repository. Before a VET Registry member decides whether to participate in the Biospecimen Repository, the procedures, confidentiality safeguards, and potential risks are explained in great detail. To be able to accommodate the wishes of members, a so-called layered consent process is used which allows members to choose from several options with regard to how their biological specimen will be used in current or future research studies. Such options may include: 1) not having their samples used for any testing beyond the immediate goals of the study; 2) allowing for future testing of their samples restricted to the study for which they provided the sample; or 3) allowing unrestricted future research use of their samples. Members are informed that any future use of their samples would have to be approved by the VET Registry, in addition to an independent ethics committee that protects the rights and welfare of research subjects, this board is more commonly known as an Institutional Review Board or IRB. Confidentiality safeguards include assigning code numbers, as opposed to name or other personal information, on all biological specimens. Zygosity Testing The accuracy of DNA testing makes it the best method for determining zygosity, identical (monozygotic) versus fraternal (non-identical or dizygotic), in VET Registry twin members. The use of DNA for zygosity testing is only performed when both members of a twin pair agree to the testing. Other Genetic Testing for specific genes will not necessarily involve providing the participants with test results.

Proper citation: Vietnam Era Twin Registry Biospecimen Repository (RRID:SCR_008808) Copy   


  • RRID:SCR_008963

    This resource has 100+ mentions.

http://www.framinghamheartstudy.org/

A longitudinal, epidemiologic study to identify the common risk factors or characteristics that contribute to cardiovascular disease by following its development over a long period of time in a large group of participants who had not yet developed overt symptoms or suffered a heart attack or stroke. Since that time the FHS has studied three generations of participants resulting in biological specimens and data from nearly 15,000 participants. Since 1994, two groups from minority populations, including related individuals have been added to the FHS. FHS welcomes proposals from outside investigators for data and biospecimens. The researchers recruited 5,209 men and women between the ages of 30 and 62 from the town of Framingham, Massachusetts, and began the first round of extensive physical examinations and lifestyle interviews that they would later analyze for common patterns related to CVD development. Since 1948, the subjects have continued to return to the study every two years for a detailed medical history, physical examination, and laboratory tests, and in 1971, the Study enrolled a second generation - 5,124 of the original participants'''' adult children and their spouses - to participate in similar examinations. In 1994, the need to establish a new study reflecting a more diverse community of Framingham was recognized, and the first Omni cohort of the Framingham Heart Study was enrolled. In April 2002 the Study entered a new phase, the enrollment of a third generation of participants, the grandchildren of the Original Cohort. In 2003, a second group of Omni participants was enrolled. Over the years, careful monitoring of the Framingham Study population has led to the identification of major CVD risk factors, as well as valuable information on the effects of these factors such as blood pressure, blood triglyceride and cholesterol levels, age, gender, and psychosocial issues. Risk factors for other physiological conditions such as dementia have been and continue to be investigated. In addition, the relationships between physical traits and genetic patterns are being studied. FHS clinical and research data is stored in the dbGaP and NHLBI Repository repositories and may be accessed by application. Please check the following repositories before applying for data through FHS. Investigators seeking data that is not available through dbGaP or BioLINCC or seeking biological specimens may submit a proposal through the FHS web-based research application. The FHS data repository may be accessed through this FHS website, under the For Researchers link, then Description of Data, in order to determine if and how the desired data is stored. Proposals may involve the use of existing data, the collection of new data, either directly from participants or from previously collected samples, images, or other materials (e.g., medical records). The FHS Repository also has biological specimens available for genetic and non-genetic research proposals. Specimens include urine, blood and blood products, as well as DNA.

Proper citation: Framingham Heart Study (RRID:SCR_008963) Copy   


http://www.norc.org/Research/Projects/Pages/national-social-life-health-and-aging-project.aspx

A longitudinal, population-based study of health and social factors, aiming to understand the well-being of older, community-dwelling Americans by examining the interactions among physical health and illness, medication use, cognitive function, emotional health, sensory function, health behaviors, social connectedness, sexuality, and relationship quality. NSHAP provides policy makers, health providers, and individuals with useful information and insights into these factors, particularly on social and intimate relationships. The study contributes to finding new ways to improve health as people age. In 2005 and 2006, NORC and Principal Investigators at the University of Chicago conducted the first wave of NSHAP, completing more than 3,000 interviews with a nationally representative sample of adults aged 57 to 85. In 2010 and 2011, nearly 3,400 interviews were completed for Wave 2 with these Wave 1 Respondents, Wave 1 Non-Interviewed Respondents, and their spouses or cohabiting romantic partners. The second wave of NSHAP is essential to understanding how social and biological characteristics change. NSHAP, by eliciting a variety of information from respondents over time, provides data that will allow researchers in a number of fields to examine how specific factors may or may not affect each other across the life course. For both waves, data collection included three measurements: in-home interviews, biomeasures, and leave-behind respondent-administered questionnaires. The face-to-face interviews and biomeasure collection took place in respondents'''' homes. NSHAP uses a national area probability sample of community residing adults born between 1920 and 1947 (aged 57 to 85 at the time of the Wave 1 interview), which includes an oversampling of African-Americans and Hispanics. The NSHAP sample is built on the foundation of the national household screening carried out by the Health and Retirement Study (HRS) in 2004. Through a collaborative agreement, HRS identified households for the NSHAP eligible population. A sample of 4,400 people was selected from the screened households. NSHAP made one selection per household. Ninety-two percent of the persons selected for the NSHAP interview were eligible. For Wave 2 in 2010 and 2011, NSHAP returned to Wave 1 Respondents and eligible non-interviewed respondents from Wave 1 (Wave 1 Non-Interviewed Respondents). NSHAP also extended the Wave 2 sample to include the cohabiting spouses and romantic partners of Wave 1 Respondents and Wave 1 Non-Interviewed Respondents. Partners were considered to be eligible to participate in NSHAP if they resided in the household with the Wave 1 Respondent/Wave 1 Non-Interviewed Respondent at the time of the Wave 2 interview and were at least 18 years of age. Wave I biomeasures: height; weight; waist circumference; blood pressure; smell; taste; vision; touch; respondent-administered vaginal swabs; oral mucosal transudate (OMT) for HIV-1 antibody screening; saliva; ����??get up and go����??; and blood spots. Technological advances in biomeasure collection methods have decreased respondent burden and increased ease of collection, storage, and yield of various biomeasures for the second wave of NSHAP. Wave II biomeasures: anthropometrics, including height, hip and waist circumference, and weight; cardiovascular function, including blood pressure, heart rate variability, and pulse; 2 of the 3 components of the short physical performance battery (SPPB) including chair stands and a timed walk; sensory function including smell; and actigraphy. In addition, we collect dried blood spots, microtainer blood, passive drool and salivettes, urine, and respondent-administered vaginal swabs, each of which are analyzed using multiple assays for a variety of measures and rationales. Furthermore, we assess respondents����?? cognition using the Montreal Cognitive Assessment (MoCA). Data Availability: NSHAP data made available to the public does not contain any identifiable respondent information and uses code numbers instead of names for all data. De-identified data from the 2005 and 2006 interviews are available to researchers through the National Archive of Computerized Data on Aging, located within Inter-University Consortium for Political and Social Research (ICPSR). Data from the Wave 2 interviews in 2010 and 2011 will be available in the summer of 2012. * Dates of Study: 2005-2006, 2010-2011 * Study Features: Biospecimens, Anthropometric Measures * Sample Size: ** Wave 1: 3,005 ** Wave 2: 3,377 Links: * ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/20541

Proper citation: National Social Life Health and Aging Project (NSHAP) (RRID:SCR_008950) Copy   


  • RRID:SCR_013416

    This resource has 10+ mentions.

http://www.sapaldia.net/en/

SAPALDIA (Swiss study on Air Pollution and Lung Disease in adults) is a multi-center study in eight geographic areas representing the range of environmental, meteorological and socio-demographic conditions of Switzerland, which studies the effects of air pollution on the respiratory and cardiovascular health in adults. Local centers are: Aarau, Basel, Davos, Geneva, Lugano, Montana, Payerne, and Wald. It was initiated in 1991 (SAPALDIA 1) with a follow-up assessment in 2002 (SAPALDIA 2). This study has allowed to assess 1) prevalence and development of major respiratory and allergic symptoms and diseases and the age-related decline in lung function, 2) the distribution of heart rate variability in the general population over age 50, 3) the association of these health indicators with individual long term exposure to air pollution, other toxic inhalants, life style and molecular factors. Another follow-up examination (SAPALDIA 3) started in January 2010. This study is well positioned to address crucial questions of air pollution epidemiology and important environmental health policy-related questions in the coming years. When SAPALDIA was initiated in 1991, 9''''651 subjects, aged 18 to 60 years, were recruited for a detailed computer-based interview and more than 90% of them underwent lung function and atopy testing. More than 7''''000 of the subjects had bronchial reactivity tested by a methacholine challenge. SAPALDIA shares parts of its study protocol with the European Community Respiratory Health Survey (ECRHS) with which it is linked through the study center of Basel. Since 1991 SAPALDIA has been carefully following address histories of its participants. In the 2002 follow-up, 8''''047 (83%) provided health information, 6''''528 persons underwent physical re-examination, and 6''''345 provided blood samples to establish an extensive blood, plasma, serum and DNA bank. In addition, 1''''813 subjects aged 50 or older participated in 24h-ECG Holter monitoring to provide detailed data on parameters of heart rate variability. With the inclusion of cardiovascular endpoints, SAPALDIA is one of the first studies examining effects from long-term exposure to air pollution on cardiovascular health parameters as well as mutual influence between the respiratory and the cardiovascular system. The SAPALDIA bio-bank has allowed scientific publications on the association between some genetic profiles (gene polymorphism) and the propensity to develop asthma, allergic diseases, or accelerated lung function decline with age. Ongoing studies are focusing on gene-environment interactions a crucial question to understand why some persons suffer more from the effect of air pollution than others.

Proper citation: SAPALDIA (RRID:SCR_013416) Copy   


http://www.stritch.luc.edu/depts/path/residency/anatomic_pathology.htm#Neuropathology

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 31, 2016. A medical center with a neuropathology research program focused on the normal and abnormal aging process of the central nervous system and a funding source for research. The center serves as a collection site for brains in order to study normal aging and neurodegenerative diseases like Alzheimer's.

Proper citation: Loyola University Medical Center / Hines VA Brain Bank (RRID:SCR_013277) Copy   


  • RRID:SCR_006949

    This resource has 10+ mentions.

http://physionet.org/physiobank/

Archive of well-characterized digital recordings of physiologic signals and related data for use by the biomedical research community. PhysioBank currently includes databases of multi-parameter cardiopulmonary, neural, and other biomedical signals from healthy subjects and patients with a variety of conditions with major public health implications, including sudden cardiac death, congestive heart failure, epilepsy, gait disorders, sleep apnea, and aging. The PhysioBank Archives now contain over 700 gigabytes of data that may be freely downloaded. PhysioNet is seeking contributions of data sets that can be made freely available in PhysioBank. Contributions of digitized and anonymized (deidentified) physiologic signals and time series of all types are welcome. If you have a data set that may be suitable, please review PhysioNet''s guidelines for contributors and contact them.

Proper citation: Physiobank (RRID:SCR_006949) Copy   


http://www.alzdiscovery.org

The Alzheimers Drug Discovery Foundation (ADDF) is the only public charity whose sole mission is to accelerate the discovery and development of drugs to prevent, treat and cure Alzheimers disease, related dementias and cognitive aging. Founded in 1998 by the Este Lauder family, the ADDF awards grants to leading scientists conducting breakthrough drug discovery research. We use a venture philanthropy model to bridge the worldwide funding gap between basic research and later-stage drug development, using any return on investment to support new research. We have granted more than 40 million to fund over 295 Alzheimers drug discovery programs in academic centers and biotechnology companies in 15 countries. Scientists funded by the ADDF have entered clinical trials with several new drugs. The ADDF has invested over 8 million in 40 biotechnology companies, which have received follow-on commitments of over 1 billion. Keywords: Research, Funding, Alzheimer''s, Drug, Discovery, Biotechnology, Biomedical, Development, Investment, Prevention, Treatment, Cure, Cognitive, Aging, Dementia, Disease,

Proper citation: Alzheimers Drug Discovery Foundation (RRID:SCR_007397) Copy   


http://trans.nih.gov/CEHP/

Trans-NIH project to assess the state of longitudinal and epidemiological research on demographic, social and biologic determinants of cognitive and emotional health in aging adults and the pathways by which cognitive and emotional health may reciprocally influence each other. A database of large scale longitudinal study relevant to healthy aging in 4 domains was created based on responses of investigators conducting these studies and is available for query. The four domains are: * Cognitive Health * Emotional Health * Demographic and Social Factors * Biomedical and Physiologic Factors

Proper citation: Cognitive and Emotional Health Project: The Healthy Brain (RRID:SCR_007390) Copy   


  • RRID:SCR_007302

    This resource has 1+ mentions.

http://www.hbpp.org/

An open international project under the patronage of the Human Proteome Organisation (HUPO) that aims: To analyze the brain proteome of human as well as mouse models in healthy, neurodiseased and aged status with focus on Alzheimer's and Parkinson's Disease; To perform quantitative proteomics as well as complementary gene expression profiling on disease-related brain areas and bodily fluids; To advance knowledge of neurodiseases and aging in order to push new diagnostic approaches and medications; To exchange knowledge and data with other HUPO projects and national / international initiatives in the neuroproteomic field; To make neuroproteomic research and its results available in the scientific community and society. Recent work has shown that standards in proteomics and especially in bioinformatics are mandatory to allow comparable analyses, but still missing. To address this challenge, the HUPO BPP is closely working together with the HUPO Proteome Standards Initiative (HUPO PSI).

Proper citation: HUPO Brain Proteome Project (RRID:SCR_007302) Copy   


https://www.jax.org/news-and-insights/2004/june/app-mouse-models-for-alzheimers-disease-research

An information resource about several models for mice to develop Alzheimer's-related characteristics as they age.

Proper citation: Mouse Models For Alzheimer's Disease Research (RRID:SCR_000708) Copy   


http://www.swanrepository.com/

The SWAN Repository is the biologic specimen bank of the Study of Women''s Health Across the Nation (SWAN). SWAN is a National Institutes of Health funded, multi-site, longitudinal study of the natural history of the midlife including the menopausal transition. The overall goal of SWAN is to describe the chronology of the biological and psychosocial characteristics that occur during midlife and the menopausal transition. In addition, SWAN is describing the effect of the transition and its associated characteristics on subsequent health and risk factors for age related chronic diseases. SWAN was designed to collect and analyze information on demographics, health and social characteristics, reproductive history, pre-existing illness, physical activity, and health practices of mid-life women in multi-ethnic, community-based samples; elucidate factors that differentiate symptomatic from asymptomatic women during the menopausal transition; identify and utilize appropriate markers of the aging of the ovarian-hypothalamo-pituitary axis and relate these markers to alterations in menstrual cycle characteristics as women approach and traverse the menopause; and explain factors that differentiate women most susceptible to long-term pathophysiological consequences of ovarian hormone deficiency from those who are protected. The biological specimen bank can also be linked by identification number (not by participant name) to data collected in the Core SWAN protocol. The specimen bank can also be linked with data from the Daily Hormone Study as well as menstrual calendars. Types of data include: epidemiological data, psychosocial data, physical measures, as well as data from assays (endocrine and cardiovascular information). SWAN has seven clinical study sites located in six states, two in California, and one each in Chicago, Boston, Detroit area, northern New Jersey and Pittsburgh. The SWAN cohort was recruited in 1996/7 and consists of 3302 African American, Caucasian, Chinese American, Hispanic and Japanese American women. Cohort members complete an annual clinic visit. The Core Repository includes over 1.8 million samples from the first 11 years of specimen collection. This includes samples from annual visits and samples from the Daily Hormone Sub-study (DHS). During an Annual visit, participants provide materials for up to 24-28 aliquots to be incorporated into the Repository. During a DHS visit, a participant provides 6 serum samples and between ~30-50 urine samples depending upon the length of her menstrual cycle. DHS participants (887) provide urine samples collected throughout one menstrual cycle each year. A typical DHS collection consists of a blood draw plus collection of 10 ml of urine daily throughout the month-long menstrual cycle, up to 50 days. DHS Repository samples consist of 6 serum samples and 30 5 ml urine samples. Specimen collection occurs from the time of menstrual bleed to the subsequent menstrual bleed or up to 50 days, whichever come first. The current DHS collection consists of more than 200,000 specimens stored in 5 ml vials. The SWAN DNA Repository currently contains extracted diluted DNA from 1538 SWAN participants. B-lymphocytes were transformed with Epstein Barr virus, and the resulting transformed b-cells aliquoted. Information about using these transformed cells for genomic or proteomic studies is available. DNA has been extracted from one aliquot (per woman) of the immortalized cells using the Puregene system. There was an average DNA yield of 217.0 mg/mL and a A260/A280 average ratio of 1.86. This DNA, in turn, has been aliquoted into 20ng/1 ml units for release by the DNA Repository. Samples are free of personal identifiers and collected under consents that allow a broad range of activities related to women''s health. All of these samples are available to researchers who wish to study the midlife and menopausal transition. Scientists who use these specimens can also request data collected during a participant''s annual visit including medical and health history, psychosocial measures, biological measures and anthropometry.

Proper citation: Study of Womens Health Across the Nation (SWAN) Repository (RRID:SCR_008810) Copy   


http://www.bsl.ece.vt.edu/index.php?page=ara-dataset

Dataset of structural MR images of 70 subjects collected during 2008-2010 across a wide range of ages. The dataset also contains resting state fMRI for most subjects. The structural images are T1 weighted, T2 weighted-FLAIR, 25 direction DTI, and the T1 mapping DESPOT [1] sequence. Reconstructed T1 maps for each subject are also available. The aquisition protocol was designed to study structural differences between young and older adults including both shape and intensity changes. Anonymized DICOM image sessions and processed images for each subject are available. The data is licensed under the Creative Commons Attribution License. It may be used freely for commercial, academic, or other use, as long as the original source is properly cited. http://www.bsl.ece.vt.edu/index.php?page=ara-dataset

Proper citation: Age Related Atrophy Dataset (RRID:SCR_009528) Copy   


http://www.bic.mni.mcgill.ca/ServicesAtlases/NIHPD-obj2

An unbiased magnetic resonance imaging template brain volume for pediatric data from birth to 4.5y age range. These volumes were created using 317 scans from 108 children enrolled in the NIH-funded MRI study of normal brain development (Almli et al., 2007, Evans and Group 2006). Templates are constructed for different age ranges. Each age range includes an average T1w, T2w, PDw maps normalized between 0 and 100. Also each age range includes a binary brain mask. Tools for using these atlases can be found in the Software section.

Proper citation: NIHPD Objective 2 atlases (birth - 4.5 years) (RRID:SCR_008795) Copy   


  • RRID:SCR_012734

    This resource has 500+ mentions.

http://www.grc.nia.nih.gov/

A research program of the NIA which focuses on neuroscience, aging biology, and translational gerontology. The central focus of the program's research is understanding age-related changes in physiology and the ability to adapt to environmental stress, and using that understanding to develop insight about the pathophysiology of age-related diseases. The IRP webpage provides access to other NIH resources such as the Biological Biochemical Image Database, the Bioinformatics Portal, and the Baltimore Longitudinal Study of Aging., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Intramural Research Program (RRID:SCR_012734) Copy   


  • RRID:SCR_012157

    This resource has 1+ mentions.

http://mrtools.mgh.harvard.edu/index.php/TBR

A tool for functional connectivity analysis of fcMRI data that maps functional data from individual sessions onto a priori spatial components from group level parcellations.

Proper citation: Template Based Rotation (RRID:SCR_012157) Copy   


http://www.stemcure.com/stemcure.php?page=tissue-banking

Stunning scientific discoveries have opened the possibilities for us to preserve our unaltered youth and healthy genome almost indefinitely. To do this, we propose to our clients to allow us to isolate and cryopreserve a small piece of tissue from their body in our unique tissue bank via a simple skin biopsy procedure. Our methods provide 100% assurance that the tissues we preserve will remain viable, healthy and young. We guarantee that these tissues will correspond to the age and physical status from the time when they were collected and can be preserved for many decades to come. In that way we strive to accomplish mankind''s most important dream ������?? to stop the hands of time and reduce the effects of aging. We will bring to a standstill the genetic program that is encoded in our cells that cause us to age and grow older. What is unique about this procedure, from a biological perspective, is that even as a person continues to live longer and get older, at the same time, part of his body remains invariably young. This well-preserved critical piece of tissue contains all the vitally important genetic material that harnesses the potential for invigorating one''s health. It will play an essential role in the rehabilitation and rejuvenation of human beings in the future. Recent studies have shown that certain parts of our skin are the most optimal material to be used for our program. For this purpose we utilize fibroblasts, the cells of the connective tissues located at the bottom side of our epidermis. In order to properly extract fibroblasts from our skin we have to perform a basic skin biopsy procedure. If you decide to participate in our program, StemCure will send to you the standard Tissue Collection Kit. This Kit contains detailed instructions for how your doctor should perform the biopsy procedure, as well as all the necessary components for the collection and transportation of a biopsy sample. StemCure will immediately start processing your biopsy samples once they arrive by overnight shipment to one of our laboratory facilities. We perform this very elaborate procedure because we understand perfectly well that our ultimate goal is not just the preservation of your tissue samples, but rather their subsequent utilization for the production of embryonic stem cells, which is the next stage of our program. Before subjecting the samples of your tissue to freezing, we will use the skin tissue to initiate the growth of the cell culture. After initial testing of the cell culture for viability and physiological activity, we will start its preparation for cyropreservation. StemCure will do everything in its power to ensure that the ������??Youth Genome������?? of our clients is safely protected and will remain a viable source for their healthy disease-free future.

Proper citation: StemCure Tissue Banking (RRID:SCR_010538) Copy   


http://www.nimh.nih.gov/labs-at-nimh/research-areas/research-support-services/hbcc/index.shtml

A collection of brain tissue from individuals suffering from schizophrenia, bipolar disorder, depression, anxiety disorders, and substance abuse, as well as healthy individuals. The research mission of the NIMH Brain Bank is to better understand the underlying biological mechanisms and pathways that contribute to schizophrenia and other neuropsychiatric disorders, as well as to study normal human brain development.

Proper citation: NIMH Brain Tissue Collection (RRID:SCR_008726) Copy   



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  1. SPARC Anatomical Working Group Resources

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

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