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Galaxies, made up of billions of stars like our Sun, are the beacons that light up the structure of even the most distant regions in space. Not all galaxies are alike, however. They come in very different shapes and have very different properties; they may be large or small, old or young, red or blue, regular or confused, luminous or faint, dusty or gas-poor, rotating or static, round or disky, and they live either in splendid isolation or in clusters. In other words, the universe contains a very colourful and diverse zoo of galaxies. For almost a century, astronomers have been discussing how galaxies should be classified and how they relate to each other in an attempt to attack the big question of how galaxies form. Galaxy Zoo (Lintott et al. 2008, 2011) pioneered a novel method for performing large-scale visual classifications of survey datasets. This webpage allows anyone to download the resulting GZ classifications of galaxies in the project.
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Phaidra Universität Wien, is the innovative whole-university digital asset management system with long-term archiving functions, offers the possibility to archive valuable data university-wide with permanent security and systematic input, offering multilingual access using metadata (data about data), thus providing worldwide availability around the clock. As a constant data pool for administration, research and teaching, resources can be used flexibly, where continual citability allows the exact location and retrieval of prepared digital objects.
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The Research Data Centre (FDZ-RV) was set-up in 2004 as an integral part of the German Federal Pension Insurance (Deutsche Rentenversicherung). Since then, the Research Data Centre produced several cross-sectional and longitudinal datasets, also called Scientific Use Files (SUF), available to researchers interested in issues of retirement, disability and rehabilitation. The datasets are released on an annual basis. The Scientific Use Files are subsamples drawn from the pool of individuals who are insured in the Federal Pension Insurance. The information provided in the original datasets is necessary to administer the beneficiaries of the pension insurance.
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Unidata – Bicocca Data Archive is an interdepartmental center of the University of Milan-Bicocca, born in 2015. The center is the Italian point of reference for the research data archiving and dissemination, based on the example of the National Archives located in major European countries and beyond. UniData inherits the long work from the ADPSS-Sociodata Data Archive, born in 1999 in the Department of Sociology and Social Research at the same University. Here you can find only individual data from 2010. For older surveys please visit ADPSS Sociodata, Data Archive for Social Sciences - Archivio Dati e Programmi Per le Scienze Soziali: https://www.unidata.unimib.it/old/ and ADPSS-SOCIODATA Archivio Dati e Programmi per le Scienze Sociali Dataverse : https://dataverse.harvard.edu/dataverse/adpss