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Found 6 result(s)
The Scholarly Database (SDB) at Indiana University aims to serve researchers and practitioners interested in the analysis, modeling, and visualization of large-scale scholarly datasets. The online interface provides access to six datasets: MEDLINE papers, registered Clinical Trials, U.S. Patent and Trademark Office patents (USPTO), National Science Foundation (NSF) funding, National Institutes of Health (NIH) funding, and National Endowment for the Humanities funding – over 26 million records in total.
The Comparative Welfare Entitlements Project (CWEP) collects data on institutional features of social insurance programs in 33 countries dating back to the early 1970s. The project extends and updates information collected and published online as CWED by Lyle Scruggs and CWED 2 by Lyle Scruggs, Detlef Jahn, and Kati Kuitto. Data is currently provided for unemployment and sickness insurance benefits as well as for standard and minimum pensions and covers income replacement rates of cash benefits, eligibility criteria and coverage of the programs. Replacement rates are available for ten household types, making CWEP one of the most comprehensive datasets on replacement rates for social insurance programs.
The USDA Agricultural Marketing Service (AMS) Cotton Program maintains a National Database (NDB) in Memphis, Tennessee for owner access to cotton classification data. The NDB is computerized telecommunications system which allows owners or authorized agents of owners to retrieve classing data from the current crop and/or the previous four crops. The NDB stores classing information from all 10 regional classing offices.
This database contains individual-based life history data that have been collected from wild primate populations by nine working group participants over a minimum of 19 years.
The Gateway to Global Aging Data is a platform for population survey data on aging around the world. This site offers a digital library of survey questions, a search engine for finding comparable questions across surveys, and identically defined variables for cross-country analysis. The Survey Meta Data Repository provides Health and Retirement Study metadata of family surveys. Survey Meta Data Repository primarily provides access to survey metadata so researchers can compare survey formats, types and identically defined variables. Additional resources include tools for cross-country analysis, general statistics by country and year, survey question library, and tools for comparing questions across the surveys. Datasets are in Stata format; users must register and request datasets.