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Found 5 result(s)

Maelstrom Catalogue

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The Maelstrom Catalogue provides a user-friendly solution for data discovery. It contains comprehensive information about epidemiological research networks and studies, and the data they have collected. It also provides information about harmonized data generated by these research networks.

Center for Demography of Health and Aging

CDHA

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The CDHA assists researchers to create, document, and distribute public use microdata on health and aging for secondary analysis. Major research themes include: midlife development and aging; economics of population aging; inequalities in health and aging; international comparative studies of health and aging; and the investigation of linkages between social-demographic and biomedical research in population aging. The CDHA is one of fourteen demography centers on aging sponsored by the National Institute on Aging.

Inter-university Consortium for Political and Social Research

ICPSR data archive

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ICPSR maintains a data archive of more than 250,000 files of research in the social and behavioral sciences. It hosts 21 specialized collections of data in education, aging, criminal justice, substance abuse, terrorism, and other fields. ICPSR advances and expands social and behavioral research, acting as a global leader in data stewardship and providing rich data resources and responsive educational opportunities for present and future generations.

Laboratory of Neuroimaging Image & Data Archive

LONI Image & Data Archive

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LONI’s Image and Data Archive (IDA) is a secure data archiving system. The IDA uses a robust infrastructure to provide researchers with a flexible and simple interface for de-identifying, searching, retrieving, converting, and disseminating their biomedical data. With thousands of investigators across the globe and more than 21 million data downloads to data, the IDA guarantees reliability with a fault-tolerant network comprising multiple switches, routers, and Internet connections to prevent system failure.

PhysioNet

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Modern signal processing and machine learning methods have exciting potential to generate new knowledge that will impact both physiological understanding and clinical care. Access to data - particularly detailed clinical data - is often a bottleneck to progress. The overarching goal of PhysioNet is to accelerate research progress by freely providing rich archives of clinical and physiological data for analysis. The PhysioNet resource has three closely interdependent components: An extensive archive ("PhysioBank"), a large and growing library of software ("PhysioToolkit"), and a collection of popular tutorials and educational materials