Overview
- This book details:
- the past, present and future space infrastructures and ground-based facilities in both life and physical sciences
- the areas of science and technology concerned in life and physical sciences
- what kind of data are generated
- how to obtain these data from the Ulisse project.
- Includes supplementary material: sn.pub/extras
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Table of contents (4 chapters)
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Front Matter
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Back Matter
Keywords
About this book
For decades experiments conducted on space stations like MIR and the ISS have been gathering data in many fields of research in the natural sciences, medicine and engineering. The EU-sponsored Ulisse Internet Portal provides metadata from space experiments of all kinds and links to the data. Complementary to the portal, this book will serve as handbook listing space experiments by type of infrastructure, area of research in the life and physical sciences, data type, what their mission was, what kind of data they have collected and how one can access this data through Ulisse for further research.
The book will provide an overview of the wealth of space experiment data that can be used for research, and will inspire academics (e.g. those looking for topics for their PhD thesis) and research departments in companies for their continued development.
Editors and Affiliations
Bibliographic Information
Book Title: Laboratory Science with Space Data
Book Subtitle: Accessing and Using Space-Experiment Data
Editors: Daniel Beysens, Luigi Carotenuto, Jack J.W.A. van Loon, Martin Zell
DOI: https://doi.org/10.1007/978-3-642-21144-7
Publisher: Springer Berlin, Heidelberg
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2011
Hardcover ISBN: 978-3-642-21143-0Published: 02 September 2011
Softcover ISBN: 978-3-642-42710-7Published: 09 October 2014
eBook ISBN: 978-3-642-21144-7Published: 01 September 2011
Edition Number: 1
Number of Pages: XV, 215
Topics: Astronomy, Astrophysics and Cosmology, Aerospace Technology and Astronautics, Life Sciences, general, Medicine/Public Health, general, Earth Sciences, general, Data Mining and Knowledge Discovery