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Found 4 result(s)

RAVE database

Radial Velocity Experiment Database

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RAVE (RAdial Velocity Experiment) is a multi-fiber spectroscopic astronomical survey of stars in the Milky Way using the 1.2-m UK Schmidt Telescope of the Anglo-Australian Observatory (AAO). The RAVE collaboration consists of researchers from over 20 institutions around the world and is coordinated by the Leibniz-Institut für Astrophysik Potsdam. As a southern hemisphere survey covering 20,000 square degrees of the sky, RAVE's primary aim is to derive the radial velocity of stars from the observed spectra. Additional information is also derived such as effective temperature, surface gravity, metallicity, photometric parallax and elemental abundance data for the stars. The survey represents a giant leap forward in our understanding of our own Milky Way galaxy; with RAVE's vast stellar kinematic database the structure, formation and evolution of our Galaxy can be studied.

CSIRO Data Access Portal

CSIRO DAP

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The CSIRO Data Access Portal provides access to data published by CSIRO across a range of disciplines to facilitate sharing and reuse of data held by CSIRO.

melbourne.figshare.com

University of Melbourne data repository

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melbourne.figshare.com is a specialised service that has been tailored according to specific needs and requirements of the University and our community of researchers. The service offered at the University is free to use, provides 100GB of data, and stores all data on the University's storage system.

ANU Data Commons

Australian National University Data Commons

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The Australian National University undertake work to collect and publish metadata about research data held by ANU, and in the case of four discipline areas, Earth Sciences, Astronomy, Phenomics and Digital Humanities to develop pipelines and tools to enable the publication of research data using a common and repeatable approach. Aims and outcomes: To identify and describe research data held at ANU, to develop a consistent approach to the publication of metadata on the University's data holdings: Identification and curation of significant orphan data sets that might otherwise be lost or inadvertently destroyed, to develop a culture of data data sharing and data re-use.