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http://www.rand.org/labor/FLS/MFLS.html

A follow-up of the 1976-1977 MFLS-1 dataset covering the respondents'' and spouses'' marriage, fertility, employment, education and migration histories as well as extensive information on the household economy. The MFLS-2 contains a supplementary sample of persons age 50 or older. The data permit analysis of intergenerational transfers to the elderly and their covariates; the living arrangements of the elderly; the health of the elderly; labor supply, occupation and retirement status of the elderly; and their migration patterns. This supplement fills the gap left by many standard sources of demographic and economic information about Third World populations, such as fertility surveys and labor force surveys, which effectively exclude the elderly. Field work for MFLS-2 began in Aug. 1988 and was completed in Jan. 1989. The survey was fielded in four samples: * The Panel Sample Women who were the primary respondents to the MFLS-1, who at that time (1976) were ever-married women aged 50 or younger. There are 926 panel households in MFLS-2, a follow-up rate of 72%. * The Children Sample Children aged 18 or older in 1988 of the women interviewed as primary respondents for MFLS-1; i.e. adult children of the women eligible for the MFLS-2 Panel sample. There were interviews with one child, selected at random, inside the Panel household and two children, selected at random, living elsewhere in Peninsular Malaysia. There are 1,136 respondents in the Children sample. * The New Sample A sample of households with a woman aged 18-49 (regardless of her marital status) or an ever-married woman under age 18. There are 2,184 respondents in MFLS-2 New Sample. * The Senior Sample Selected households with a person age 50 or over. There are 1,357 respondents in the Senior Sample. Data Availability: The MFLS-2 (and MFLS-1) data files and documentation are available on-line or from NACDA at ICPSR as Study No. 9805. * Dates of Study: 1988-1989 * Study Features: International * Sample Size: Seniors (aged 50+): 1,357 Link: * ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/09805

Proper citation: Second Malaysian Family Life Survey (RRID:SCR_008892) Copy   


http://www.nlsinfo.org/

A dataset that permits examination of health, economic, work, and retirement trajectories for a representative national sample of men from middle to old age. The original sample of 5,020 men, first interviewed in 1966, was re-interviewed periodically until 1983 under a contract with the US Department of Labor. The study provided a detailed longitudinal record of their labor market activity, health, financial status, family structure, and attitudes toward and experience in retirement. The NIA grant made possible a re-interview in 1990 with the surviving men and the widows (or other next-of-kin) of the decedents. The merging of the 1990 data includes death certificate information for the decedents, Blacks were over-represented in the original sample in a ratio of about three or four to one, resulting in about 500 surviving black men in the sample. Information on labor market activity, income, and assets also is available for a sample of about 1,350 widows, 90 percent of whom are between 60 and 89 years of age. This information can be linked to earlier data on the women''s health and work activity that was reported by their late husbands. Due to the original sample selection, other NLS cohorts contain wives and daughters of the older men. These other surveys also hold a wealth of detailed information on aging and retirement issues, especially on income transfers. * Dates of Study: 1966-1990 * Study Features: Longitudinal, Minority Oversamples * Sample Size: ** 1966: 5,020 men (baseline) ** 1990: 2,092 surviving men, 1,341 widows, 865 other next-of-kin Links: * BLS Website on NLS: http://www.bls.gov/nls/ * ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/04675

Proper citation: National Longitudinal Survey of Older Men (RRID:SCR_008947) Copy   


  • RRID:SCR_009435

    This resource has 10+ mentions.

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

A phenotypically rich neuroimaging sample, consisting of data obtained from individuals between the ages of 4 and 85 years-old. All individuals included in the sample undergo semi-structured diagnostic psychiatric interviews, and complete a battery of psychiatric, cognitive and behavioral assessments in order to provide comprehensive phenotypic information for the purpose of exploring brain / behavior relationships.

Proper citation: NKI/Rockland Sample (RRID:SCR_009435) Copy   


http://psidonline.isr.umich.edu/

Long-term longitudinal dataset with information on generational links and socioeconomic and health conditions of individuals over time. The central foci of the data are economic and demographic, with substantial detail on income sources and amounts, wealth, savings, employment, pensions, family composition changes, childbirth and marriage histories, and residential location. Over the life of the PSID, the NIA has funded supplements on wealth, health, parental health and long term care, housing, and the financial impact of illness, thus also making it possible to model retirement and residential mobility. Starting in 1999, much greater detail on specific health conditions and health care expenses is included for respondent and spouse. Other enhancements have included a question series about emotional distress (2001); the two stem questions from the Composite International Diagnostic Interview to assess symptoms of major depression (2003); a supplement on philanthropic giving and volunteering (2001-03); a question series on Internet and computer use (2003); linkage to the National Death Index with cause of death information for more than 4,000 individuals through the 1997 wave, updated for each subsequent wave; social and family history variables and GIS-linked environmental data; basic data on pension plans; event history calendar methodology to facilitate recall of employment spells (2001). The reporting unit is the family: single person living alone or sharing a household with other non-relatives; group of people related by blood, marriage, or adoption; unmarried couple living together in what appears to be a fairly permanent arrangement. Interviews were conducted annually from 1968 through 1997; biennial interviewing began in 1999. There is an oversample of Blacks (30%). Waves 1990 through 1995 included a 20% Hispanic oversample; within the Hispanic oversample, Cubans and Puerto Ricans were oversampled relative to Mexicans. All data from 1994 through 2001 are available as public release files; prior waves can be obtained in archive versions. The special files with weights for families are also available. Restricted files include the Geocode Match File with information for 1968 through 2001, the 1968-2001 Death File, and the 1991 Medicare Claims File. * Dates of Study: 1968-2003 * Study Features: Longitudinal, Minority Oversampling * Sample Size: 65,000+ Links * ICPSR Series: http://www.icpsr.umich.edu/icpsrweb/ICPSR/series/00131 * ICPSR 1968-1999: Annual Core Data: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/07439 * ICPSR 1968-1999: Supplemental Files: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/03202 * ICPSR 1989-1990: Latino Sample: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/03203

Proper citation: Panel Study of Income Dynamics (RRID:SCR_008976) Copy   


  • RRID:SCR_008973

    This resource has 1+ mentions.

http://nis.princeton.edu/

Public use data set on new legal immigrants to the U.S. that can address scientific and policy questions about migration behavior and the impacts of migration. A survey pilot project, the NIS-P, was carried out in 1996 to inform the fielding and design of the full NIS. Baseline interviews were ultimately conducted with 1,127 adult immigrants. Sample members were interviewed at baseline, 6 months, and 12 months, with half of the sample also interviewed at three months. The first full cohort, NIS-2003, is based on a nationally representative sample of the electronic administrative records compiled for new immigrants by the US government. NIS-2003 sampled immigrants in the period May-November 2003. The geographic sampling design takes advantage of the natural clustering of immigrants. It includes all top 85 Metropolitan Statistical Areas (MSAs) and all top 38 counties, plus a random sample of other MSAs and counties. Interviews were conducted in respondents'' preferred languages. The baseline was multi-modal: 60% of adult interviews were administered by telephone; 40% were in-person. The baseline round was in the field from June 2003 to June 2004, and includes in the Adult Sample 8,573 respondents, 4,336 spouses, and 1,072 children aged 8-12. A follow-up was planned for 2007. Several modules of the NIS were designed to replicate sections of the continuing surveys of the US population that provide a natural comparison group. Questionnaire topics include Health (self-reports of conditions, symptoms, functional status, smoking and drinking history) and use/source/costs of health care services, depression, pain; background; (2) Background: Childhood history and living conditions, education, migration history, marital history, military history, fertility history, language skills, employment history in the US and foreign countries, social networks, religion; Family: Rosters of all children; for each, demographic attributes, education, current work status, migration, marital status and children; for some, summary indicators of childhood and current health, language ability; Economic: Sources and amounts of income, including wages, pensions, and government subsidies; type, value of assets and debts, financial assistance given/received to/from respondent from/to relatives, friends, employer, type of housing and ownership of consumable durables. * Dates of Study: 2003-2007 * Study Features: Longitudinal * Sample Size: 13,981

Proper citation: New Immigrant Survey (RRID:SCR_008973) Copy   


http://www.midus.wisc.edu/

Data set from a collaborative, interdisciplinary investigation of patterns, predictors, and consequences of midlife development in the areas of physical health, psychological well-being, and social responsibility. Respondents were asked to provide extensive information on their physical and mental health throughout their adult lives, and to assess the ways in which their lifestyles, including relationships and work-related demands, contributed to the conditions experienced. An additional series of questions focusing on childhood queried respondents regarding the presence/absence of their parents, religion, rules/punishments, love/affection, physical/verbal abuse, and the quality of their relationships with their parents and siblings. Respondents were drawn from a nationally representative random-digit-dial sample of non-institutionalized, English-speaking adults, aged 25-74, selected from working telephone banks in the coterminous United States. Those queried participated in an initial telephone interview and responded to a mail questionnaire. MIDUS 2 carried forward MIDUS 1 and enlisted a new sample of African Americans. MIDUS2 also expanded the focus by incorporating detailed neurophysiological assessments on a large subsample in three geographic regions. Data collection largely repeats T1 assessments (45 minute phone interview, 100 page self-administered questionnaire) plus additions in select areas (e.g., cognitive functioning, optimism and coping, life events, caregiving). In addition, MIDUS 2 is using diary techniques to assess daily stressors in a subsample of respondents; conducting cognitive testing through telephone interviews; collecting biological data on a subsample of respondents, including baseline biomarkers as well as laboratory challenge studies, with assessments of salivary cortisol, blood pressure, and heart rate variability; and collecting EEG measures to focus on the central circuitry of emotion, related to affect and depression. Siblings and Twins: Similar data were collected from a survey of 951 siblings of a respondent in the main survey. MIDUS also contains twins data, from a separate national survey unrelated to the main MIDUS survey. From this separate national survey, a total of 1,996 twins agreed to participate. The Twins respondents were given the same assessments as the Main and Siblings samples. Additionally, the Twins sample was asked a series of questions about their birth, shared physical characteristics, childhood and adult relationships with their twin, whether they were dressed alike as children, and whether others experienced difficulty identifying them correctly. Data and comprehensive documentation for MIDUS 1 and 2 are available via ICPSR. * Dates of Study: 1995-2008 * Study Features: Longitudinal, Minority Oversampling, Anthropometric Measures * Sample Size: ** 1995-6: 4,242 (MIDUS 1) ** 2004-6: 7,108 (MIDUS 2) Links: * ICPSR ����?? MIDUS 1: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/02760 * ICPSR ����?? MIDUS 2: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/04652

Proper citation: National Survey of Midlife Development in the United States (RRID:SCR_008972) Copy   


http://dx.doi.org/10.3886/ICPSR06842.v1

A panel data set for use in cross-cultural analyses of aging, health, and well-being between the U.S. and Japan. The questionnaires were designed to be partially comparable to many surveys of the aged, including Americans'' Changing Lives; 1984 National Health Interview Survey Supplement on Aging; Health and Retirement Study (HRS), and Well-Being Among the Aged: Personal Control and Self-Esteem (WBA). NSJE questionnaire topics include: * Demographics (age, sex, marital status, education, employment) * Social Integration (interpersonal contacts, social supports) * Health Limitations on daily life and activities * Health Conditions * Health Status (ratings of present health) * Level of physical activity * Subjective Well-Being and Mental Health Status (life satisfaction, morale), * Psychological Indicators (life events, locus of control, self-esteem) * Financial situation (financial status) * Memory (measures of cognitive functioning) * Interviewer observations (assessments of respondents) The NSJE was based on a national sample of 2,200 noninstitutionalized elderly aged 60+ in Japan. This cohort has been interviewed once every 3 years since 1987. To ensure that the data are representative of the 60+ population, the samples in 1990 and 1996 were refreshed to add individuals aged 60-62. In 1999, a new cohort of Japanese adults aged 70+ was added to the surviving members of previous cohorts to form a database of 3,990 respondents 63+, of which some 3,000 were 70+. Currently a 6-wave longitudinal database (1987, 1990, 1993, 1996, 1999, & 2002) is in place; wave 7 began in 2006. Data Availability: Data from the first three waves of the National Survey of the Japanese Elderly are currently in the public domain and can be obtained from ICPSR. Additional data are being prepared for future public release. * Dates of Study: 1987-2006 * Study Features: Longitudinal, International * Sample Size: ** 1987: 2,200 ** 1990: 2,780 ** 1993: 2,780 ** 1996: ** 1999: 3,990 ** 2002: ** 2006: Links: * 1987 (ICPSR): http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06842 * 1990 (ICPSR): http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/03407 * 1993 (ICPSR): http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/04145 * 1996 (ICPSR): http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/26621

Proper citation: National Survey of the Japanese Elderly (RRID:SCR_008971) Copy   


http://ohsu.eagle-i.net/i/0000012e-5e3a-7084-4106-535b80000000

In cooperation with the Data and Clinical Cores at the Layton Center, the Biomarkers and Genetics Core generates and maintains biomarker data for select biomarkers which have established roles in the characterization of subjects with or at risk of dementia. Biological markers of brain aging, dementia risk, and neurodegeneration have the potential to accelerate the identification of disease mechanisms and treatment strategies. Biomarkers may include genes, proteins, or other metabolites, and may be identified in DNA, cerebrospinal fluid (CSF), or plasma. Apolipoprotein E (APOE) genotype is generated for all research subjects. Sub-groups of subjects have other types of biomarker data. Many subjects have had genome-wide SNP data generated. In order to foster collaborative research as well as expand resources and expertise, samples (DNA, CSF, and plasma) and data are distributed to qualified investigators worldwide. Most of these researchers are pursuing the causes and modifiers of dementia. Data and samples are collected from well characterized research subjects including the healthy elderly and dementia patients.

Proper citation: Layton Alzheimers Disease Center Biomarkers and Genetics Core Lab (RRID:SCR_009911) Copy   


http://ohsu.eagle-i.net/i/0000012e-5e56-c3be-4106-535b80000000

THIS RESOURCE IS NO LONGER IN SERVICE.Documented on December 6th,2022. The Oregon Alzheimer?s Disease Center?s (OADC) Clinical Core program, directed by Dr. Jeffrey Kaye, performs longitudinal studies of the natural history of brain aging and Alzheimer''s disease in patients and healthy control volunteers. These studies which are performed through standardized neurological, neuro-psychological, and brain-imaging assessments are carried out in the Alzheimer''s Disease and Memory Assessment Clinics as well as through community-based assessments conducted in the homes of study volunteers. The Layton Center Neuroimaging Lab conducts brain-imaging MRI brain scans to assist in diagnosis of brain disease. Typically, MRI images are taken from three different planes. These planes are known as the coronal plane, sagittal plane and the axial plane. Each series of MRI images is named after the plane from which they were obtained. The Clinical Core?s research is focused on preclinical and early Alzheimer?s disease (AD) yet is also poised to participate in other relevant new research as it arises. The OADC Clinical Core recruits, assesses and follows individuals from population groups at high risk for dementia such as: the healthy ?oldest old?, subjects with family history of AD, and subjects with Mild Cognitive Impairment (MCI). Research with underserved populations The Oregon Alzheimer?s Disease Center also maintains two Satellite programs to enhance understanding of underserved populations: The Klamath Exceptional Aging Project (KEAP) is a community-based study of brain aging being conducted in Klamath Falls. The African American Dementia and Aging Project (AADAPt) s a Portland-based cohort of 100 African American seniors.

Proper citation: Layton Alzheimers Disease Center Clinical Core (RRID:SCR_009912) Copy   


http://ohsu.eagle-i.net/i/0000012e-5dd8-5be1-4106-535b80000000

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on December 5th,2022. The Education and Information Core of the Layton Aging & Alzheimer?s Disease Center develops and carries out a wide range of educational programs to: * Increase public awareness and understanding of Alzheimer''s Disease research, * Aid in the recruitment of subjects for research studies, and * Improve care and quality of life for persons with dementia and support their family caregivers. Our educational activities include: * Training for health care professionals which include seminars and lectures and we also provide ?hands-on? experiences for medical students, * Community education on Alzheimer''s disease and related dementia disorders, * Workshops on doctor ? patient communication for families and caregivers, * Collaboration with community organizations and groups to promote awareness of the disease and publicize research activities, a particular focus is underserved populations including rural communities and minority groups, * Collaboration with other organizations that serve patients and families, e.g., the Alzheimer?s Association and other state and local agencies that serve the elderly and the loved ones who care for them, and * Distribution of printed material that provides topical information on a variety of subjects related to Alzheimer?s disease and dementia and how best to provide quality of life to those with the disease. * A newsletter, Aging & Alzheimer''s Update, which is published twice per year. The Education Core administers the Oregon Income Tax Check-off Alzheimer''s Research Fund in collaboration with The Oregon Partnership for Alzheimer''s Research, a community advisory committee.

Proper citation: Layton Aging and Alzheimers Disease Center Education Core (RRID:SCR_009909) Copy   


  • RRID:SCR_013264

    This resource has 100+ mentions.

http://geneticassociationdb.nih.gov/

The Genetic Association Database is an archive of human genetic association studies of complex diseases and disorders. The goal of this database is to allow the user to rapidly identify medically relevant polymorphism from the large volume of polymorphism and mutational data, in the context of standardized nomenclature. The data is from published scientific papers. Study data is recorded in the context of official human gene nomenclature with additional molecular reference numbers and links. It is gene centered. That is, each record is a record of a gene or marker. If a study investigated 6 genes for a particular disorder, there will be 6 records. Anyone may view this database and anyone may submit records. You do not have to be an author on the original study to submit a record. All submitted records will be reviewed before inclusion in the archive. Both genetic and environmental factors contribute to human diseases. Most common diseases are influenced by a large number of genetic and environmental factors, most of which individually have only a modest effect on the disease. Though genetic contributions are relatively well characterized for some monogenetic diseases, there has been no effort at curating the extensive list of environmental etiological factors. From a comprehensive search of the MeSH annotation of MEDLINE articles, they identified 3,342 environmental etiological factors associated with 3,159 diseases. They also identified 1,100 genes associated with 1,034 complex diseases from the NIH Genetic Association Database (GAD), a database of genetic association studies. 863 diseases have both genetic and environmental etiological factors available. Integrating genetic and environmental factors results in the etiome, which they define as the comprehensive compendium of disease etiology.

Proper citation: Genetic Association Database (RRID:SCR_013264) Copy   


http://www.nia.nih.gov/ResearchInformation/ScientificResources/LongitudinalStudies.htm

THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 11, 2015. A searchable database for epidemiologic research on aging changes across the lifespan. In 2003, the National Institute on Aging (NIA) established the Longitudinal Data on Aging (LDA) working group to assist with the development of research initiatives for identifying the physiologic and other types of factors across the lifespan, affecting onset and progression of disease with advancing age, as well as elucidation of protective factors contributing to exceptionally healthy aging. This database was developed based on input from the LDA working group which indicated that establishing a database of existing sources of longitudinal data on aging (e.g., ongoing longitudinal cohorts, longitudinal data sets, biospecimen repositories) would be a valuable resource for facilitating future research on aging changes across the lifespan. The longitudinal studies, data sets and repositories included in this database encompass a wide range of age groups (childhood to old age), studies in minority populations, as well as sources of longitudinal data existing in the United States and abroad. Our primary purpose for establishing this database is to provide a resource for potential applicants for grants to the NIA. No part of this database can be used for commercial purposes.

Proper citation: National Institute on Aging, Database of Longitudinal Studies (RRID:SCR_008259) Copy   


http://centerforaging.duke.edu/index.php?option=com_content&view=article&id=115&Itemid=152

The project has been collecting detailed panel data about the health, disability, demographic, family, socioeconomic, and behavioral risk-factors for mortality and healthy longevity of the oldest old, with a comparative sub-sample of younger elders, to examine the factors in healthy longevity. The baseline survey was conducted in 1998 and the follow-up surveys with replacement to compensate for deceased elders were conducted in 2000, 2002, 2005, and 2008, For each centenarian, one near-by octogenarian (aged 80-89) and one near-by nonagenarian (aged 90-99) of pre-designated age and sex were interviewed. Near-by is loosely defined it could be in the same village or street if available, or in the same town or in the same county or city. The idea was to have comparable numbers of male and female octogenarians and nonagenarians at each age from 80 to 99. In 2002, the study added a refresher sub-sample of 4,845 interviewees aged 65-79, and a sub-sample of 4,478 adult children (aged 35-65) of the elderly interviewees aged 65-110 in eight provinces Comparative study of intergenerational relationships in the context of rapid aging and healthy longevity between Mainland China and Taiwan is possible. At each wave, the longitudinal survivors were re-interviewed, and the deceased interviewees were replaced by additional participants. Data on mortality and health status before dying for the 12,136 elders aged 65-112 who died between the waves were collected in interviews with a close family member of the deceased. The study also included interviews and follow-ups with 4,478 elderly interviewees'''' children aged 35-65. * Dates of Study: 1998-2005 * Study Features: Longitudinal, International * Sample Size: ** 1998: 8,993 ** 2000: 11,199 ** 2002: 16,064 ** 2005: 14,923 Links * Data Archive, http://www.geri.duke.edu/china_study/CLHLS6.htm * ICPSR, http://www.icpsr.umich.edu/icpsrweb/NACDA/studies/03891

Proper citation: Chinese Longitudinal Healthy Longevity Survey (CLHLS) (RRID:SCR_008904) Copy   


  • RRID:SCR_008934

    This resource has 1+ mentions.

http://scienceblogs.com/neurotopia/

A neuro blog that is no longer updated but has interesting archives. Categories: * Academia * Activism * Addiction * Aging/Gerontology * Basic Science Posts * Behavioral Neuro * Blog Carnivals * CNS Diseases and Disorders * Cognition * Creationism / Intelligent Design * Evil Journal Club * Evolution * Friday Weird Science * Health Care / Medicine * Menopause * Natural Sciences * Neuroanatomy * Neuroscience * Philosophy * Physiology / Pharmacology * Politics/Policy * Primatology * Religion * Rocket Surgery * Samsara * SchadenFriday * Synaptic Misfires

Proper citation: ScienceBlogs Neurotopia (RRID:SCR_008934) Copy   


  • RRID:SCR_008895

    This resource has 1+ mentions.

http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/4050?geography=South+Carolina

The Charleston Heart Study (CHS) is a prospective cohort study of 2,283 subjects (1,394 whites, 889 blacks) in which risk factors of coronary disease have been examined for the past 43 years. The CHS began enrolling a random selection of community residents who in 1960 were 35 years of age and older ����?? including men and women, black and white. A unique feature of this cohort is the fact that 102 high socio-economic status (SES) black men were purposefully included. The primary hypothesis of the original study was to investigate racial differences in the manifestation and risk factors for coronary disease. Over the ensuing 40+ years, a variety of outcome measurements were incorporated into the re-examination of the participants, including psychosocial, behavioral, aging and functional measures. Subjects were initially interviewed and examined in 1960 and 1963. Subsequent interviews and examinations took place during the following time periods: 1974-1975, 1984-1985, 1987-1989, and 1990-1991. During the most recent questionnaire (1990-1991), the following topics were examined: general health, smoking, functional disability, physical disability, cardiovascular health, sexual dysfunction, cognitive disability, depression, coffee consumption, medication history, medical history, nutrition, and body image. In addition, serum samples and blood pressure measurements were taken, and a physical exam was performed by a physician. A search of the National Death Index was completed through the year 2000, matching individuals with date and cause of death. Vital status of the CHS study participants through 12-31-2000 is presented below. Dead * White Men 539 (82.5%) * White Women 500 (67.5%) * Black Men 281 (84.4%) * High SES Black Men 59 (57.8%) * Black Women 343 (75.6%) Data Availability: Datasets are stored in the National Archive of Computerized Data on Aging (NACDA) in the ICPSR as Study No. 4050. Data are also available from the Medical University of South Carolina Library; contact a PI, Paul J. Nietert, nieterpj (at) musc.edu for further information. * Dates of Study: 1960-2000 * Study Features: Longitudinal, Minority Oversamples, Anthropometric Measures * Sample Size: 1960: 2,283 (baseline) Link ICPSR, http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/04050

Proper citation: Charleston Heart Study (RRID:SCR_008895) Copy   


http://brainmap.wisc.edu/monkey.html

NO LONGER AVAILABLE. Documented on September 17, 2019. A set of multi-subject atlas templates to facilitate functional and structural imaging studies of the rhesus macaque. These atlases enable alignment of individual scans to improve localization and statistical power of the results, and allow comparison of results between studies and institutions. This population-average MRI-based atlas collection can be used with common brain mapping packages such as SPM or FSL.

Proper citation: Rhesus Macaque Atlases for Functional and Structural Imaging Studies (RRID:SCR_008650) Copy   


  • RRID:SCR_008962

    This resource has 1+ mentions.

http://www.gazel.inserm.fr/

A 20 year, 20,000 person, open longitudinal epidemiological study of a cohort town. GAZEL was not constructed to answer a specific question rather it was designed to help analyze a wide range of scientific problems and is accessible to the community of researchers specializing in epidemiology. Translation is not available for all pages. The GAZEL cohort, set up in 1989 by Inserm Unit 88 (subsequently Unit 687), in cooperation with several departments of ��lectricit�� de France-Gaz de France (EDF-GDF), was a public utility firm in France involved in production, transmission and distribution of energy. GAZEL initially included 20 624 volunteers working at EDF-GDF (15 010 men and 5614 women), aged from 35 to 50 years. In accordance with its purpose as a scientific research platform, the GAZEL cohort is permanently open to epidemiologic research teams. Today, more than 50 projects on very diversified themes have been set up in GAZEL by some 20 teams, French, belonging to different bodies, and foreign (Germany, Belgium, Canada, Great Britain, Sweden, Finland, and USA).

Proper citation: Gazel Database (RRID:SCR_008962) Copy   


  • RRID:SCR_008958

http://blog.clearscience.io/

THIS RESOURCE IS NO LONGER IN SERVICE, documented July 27, 2015. Infrastructure for more effective scientific communication by leveraging the open APIs of GitHub, Amazon Web Services, and Synapse, clearScience demonstrates how scientists can easily transition from exploring dataexecuting scienceand providing the scientific community all the resources and artifacts to recreate analyses. By capturing the complete lifecycle of a project, reproducibility becomes a byproduct rather than a burden of publication. Further, we provide for forking an analysis, allowing anyone to explore and elaborate on "published" work. If the goal of biomedical research is to deliver results that will ultimately alleviate suffering and minimize harm to patients, being able to transparently share, reproduce, and build off of one another's work is critical to scientific progress. clearScience represents one compelling model for facilitating this progress.

Proper citation: clearScience (RRID:SCR_008958) Copy   


  • RRID:SCR_010223

    This resource has 100+ mentions.

http://genomics.senescence.info/genes/

Collection of annotated and manually curated data of genes related to aging divided into genes related to longevity and/or aging in model organisms (yeast, worms, flies, mice, etc.) and aging related human genes.

Proper citation: GenAge (RRID:SCR_010223) Copy   


  • RRID:SCR_010225

http://mitointeractome.kobic.kr/

Database that gathers data on interactions in the mitochondrial proteome that has been used to construct a network for the aging process in humans and to identify interactions that influence this process, since mitochondria is a major source of cellular reactive oxygen species that accumulate during aging. It will: # aid in increasing our understanding of the molecular functions and interaction networks of mitochondrial proteins, # help in identifying new target proteins for experimental research using predicted protein-protein interaction information, and # help in identifying biomarkers for diagnosis and new molecular targets for drug development related to mitochondria. How is MitoInteractome different? * Provides protein-protein interaction information with graphical display. * Applies newly added new mitochondrial protein information by using BLAST incorporated in Mitointeractome * Shows correlation of mutation with their impact * Provides specific pathway information to aid study of their impact * Contains SNP Information

Proper citation: MitoInteractome (RRID:SCR_010225) Copy   



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    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 RRID 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 RRID 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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