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http://www.physionet.org/physiobank/database/nesfdb/

Data set of postural sway measurements for 15 healthy young (mean age 23, standard deviation 2), and 12 healthy elderly (mean age 73, standard deviation 3) volunteers. Each subject''s postural sway was recorded during a test of 10 minutes for the young subjects, or 5 minutes for the elderly subjects, in all cases with a 2-minute seated break midway through the test. Each test was divided into 30-second trials, and each file of the database contains data for one of these 30-second trials.

Proper citation: Noise Enhancement of Sensorimotor Function (RRID:SCR_006913) Copy   

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http://www.census.gov/did/www/nlms/

A database based on a random sample of the noninstitutionalized population of the United States, developed for the purpose of studying the effects of demographic and socio-economic characteristics on differentials in mortality rates. It consists of data from 26 U.S. Current Population Surveys (CPS) cohorts, annual Social and Economic Supplements, and the 1980 Census cohort, combined with death certificate information to identify mortality status and cause of death covering the time interval, 1979 to 1998. The Current Population Surveys are March Supplements selected from the time period from March 1973 to March 1998. The NLMS routinely links geographical and demographic information from Census Bureau surveys and censuses to the NLMS database, and other available sources upon request. The Census Bureau and CMS have approved the linkage protocol and data acquisition is currently underway. The plan for the NLMS is to link information on mortality to the NLMS every two years from 1998 through 2006 with research on the resulting database to continue, at least, through 2009. The NLMS will continue to incorporate data from the yearly Annual Social and Economic Supplement into the study as the data become available. Based on the expected size of the Annual Social and Economic Supplements to be conducted, the expected number of deaths to be added to the NLMS through the updating process will increase the mortality content of the study to nearly 500,000 cases out of a total number of approximately 3.3 million records. This effort would also include expanding the NLMS population base by incorporating new March Supplement Current Population Survey data into the study as they become available. Linkages to the SEER and CMS datasets are also available. Data Availability: Due to the confidential nature of the data used in the NLMS, the public use dataset consists of a reduced number of CPS cohorts with a fixed follow-up period of five years. NIA does not make the data available directly. Research access to the entire NLMS database can be obtained through the NIA program contact listed. Interested investigators should email the NIA contact and send in a one page prospectus of the proposed project. NIA will approve projects based on their relevance to NIA/BSR''s areas of emphasis. Approved projects are then assigned to NLMS statisticians at the Census Bureau who work directly with the researcher to interface with the database. A modified version of the public use data files is available also through the Census restricted Data Centers. However, since the database is quite complex, many investigators have found that the most efficient way to access it is through the Census programmers. * Dates of Study: 1973-2009 * Study Features: Longitudinal * Sample Size: ~3.3 Million Link: *ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/00134

Proper citation: National Longitudinal Mortality Study (RRID:SCR_008946) Copy   

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http://www.icpsr.umich.edu/icpsrweb/NACDA/studies/04076/version/1

A dataset of a survey of intergenerational relations among 2,044 adult members of some 300 three- (and later four-) generation California families: grandparents (then in their sixties), middle-aged parents (then in their early forties), grandchildren (then aged 16 to 26), and later the great-grandchildren as they turn age 16, and further surveys in 1985, 1988, 1991, 1994, 1997 and 2001. This first fully-elaborated generation-sequential design makes it possible to compare sets of parents and adult-children at the same age across different historical periods and addresses the following objectives: # To track life-course trajectories of family intergenerational solidarity and conflict over three decades of adulthood, and across successive generations of family members; # To identify how intergenerational solidarity, and conflict influence the well-being of family members throughout the adult life course and across successive generations; # To chart the effects of socio-historical change on families, intergenerational relationships, and individual life-course development during the past three decades; # To examine women''s roles and relationships in multigenerational families over 30 years of rapid change in the social trajectories of women''s lives. These data can extend understanding of the complex interplay among macro-social change, family functioning, and individual well-being over the adult life-course and across successive generations. Data Availability: Data from 1971-1997 are available through ICPSR as Study number 4076. * Dates of Study: 1971-2001 * Study Features: Longitudinal * Sample Size: ** 345 Three-generational families ** 2,044 Adults (1971 baseline) Link: * ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/04076

Proper citation: Longitudinal Study of Generations (RRID:SCR_008939) Copy   

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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   

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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   

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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   

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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   

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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   

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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   

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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   

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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   

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http://www.areds2.org

Study designed to assess the effects of oral supplementation of high doses of macular xanthophylls (lutein and zeaxanthin) and/or omega -3 LCPUFAs (DHA and EPA) for the treatment of AMD and cataract.

Proper citation: AREDS2: The Age-Related Eye Disease Study 2 (RRID:SCR_006306) Copy   

•   Source: SciCrunch Registry

http://www.fondazionesanraffaele.it/

A non-profit organization to support the research of the IRCCS San Raffaele Hospital with the aim of helping the development of science in the service of medicine. To make progress and achieve new successes, which may also be of benefit to future generations, the Fondazione Centro San Raffaele Hospital supports through participation in invitations to national and international research and fundraising activities to individuals and businesses. The lines of research in 2013 which focuses on the activities of the Foundation, in synergy with the San Raffaele hospital: # Molecular and functional approaches to the study of neurological and psychiatric disorders # Molecular and cellular therapies for regenerative medicine # Study and modulation of innate and adaptive immune response # Cellular and molecular approaches to the study of solid tumors and blood # Molecular and cellular approaches to the study and treatment of cardiovascular and metabolic diseases # Genetic mechanisms, molecular and cellular disease and aging # Genomics and post-genomics for the study of the mechanisms of disease and response to drugs # Molecular and cellular imaging for the study of oncological diseases and molecular imaging of cardiovascular disease

Proper citation: Fondazione Centro San Raffaele; Milan; Italy (RRID:SCR_003894) Copy   

•   Source: SciCrunch Registry

https://www.uab.edu/medicine/alzheimers/

The UAB Alzheimer's Disease Center provides comprehensive treatment for Alzheimer's patients while also promoting research for the prevention and cure of Alzheimer's disease and related disorders. The ADC is an interdisciplinary program of scientists working in areas including neurology, psychiatry, genetics, and psychology. The Center provides comprehensive treatment and promotes research for the prevention and/or cure of Alzheimer's disease and other related disorders with memory loss and impaired cognition. A major emphasis of research is the maintenance of a clinical research database comprised of neurological, medical, and neuropsychological test data from participants seen in the ADRC Clinical study since 1999, many of whom have been followed for several years in the study.

Proper citation: UAB Alzheimer's Disease Center (RRID:SCR_004305) Copy   

•   Source: SciCrunch Registry

http://www.brainnet-europe.org/

THIS RESOURCE IS NO LONGER IN SERVICE.Documented on July 7, 2022. Consortium of 19 brain banks across Europe with an aim to harmonize neuropathological diagnostic criteria and develop gold standards for quality, safety and ethics standards for brain banking. BrainNet Europe also contributes to research on rare diseases, such as: Pick''s disease or other rare forms of dementia, as well as to questions after the events in the aging brain. Anyone can be a donor - irrespective of disease of the central nervous system or not, because for research purposes, one does not only need tissue samples from ill donors, but also from healthy ones for comparison.

Proper citation: BrainNet Europe (RRID:SCR_004461) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

http://www.nia.nih.gov/research/dab/nia-mutant-mouse-aging-colony-handbook

THIS RESOURCE IS NO LONGER IN SERVICE, documented on September 09, 2013. Supply aged mutant and transgenic mice for NIH-supported research directly related to the biology of aging. The mice are raised by the NIA's contractor, Taconic Farms, in Specific Pathogen-Free (SPF) barrier facilities. The strains in the mutant mouse aging colony have been donated by the investigators who developed the models, and those investigators are still the legally recognized owners of the intellectual property. A Material Transfer Agreement (MTA) is required to purchase the mice (a one-time requirement per strain). There are restrictions to the use of this colony as described in the MTA. These restrictions include a prohibition against breeding the mice purchased from the NIA Mutant Mouse Aging Colony, agreement that the mice will not be used for commercial purposes, and agreement that the mice and all derivatives will not be transferred to third parties. The restrictions are further spelled out in the MTA. Animals are sold by age, not weight, and ages are stated in 1 month intervals only; all animals born within a calendar month are considered to be the same age, so date of birth (DOB) is given as month/year. All mice are virgins. The mutant mouse aging colony is slated to end in September 2013. Old mice will be available until September 2013 but the availability of young mice will end earlier. Entries of different strains into the mutant mouse aging colony will end at different times, dependent on the lifespan and pattern of use of the strain. Mouse models include: * Snell Dwarf (3623) ??????????????? last entry will be the November 2011 DOB (date of birth) * Ames Dwarf (324) ??????????????? last entry will be the October 2012 DOB * A53T ???????????????????????-synuclein Transgenic (322) ??????????????? last entry will be the December 2012 DOB * GFP Transgenic (317) ??????????????? last entry will be the January 2013 DOB

Proper citation: NIA Mutant Mouse Aging Colony Handbook (RRID:SCR_007328) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry