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DUST-2
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DUST-2

Data Utilization Software Tools

An interactive graphic linkage of texts with data, applied to ozone, water vapor and other selected data of the Earth's atmosphere

Gerd K. Hartmann, A. Nölle, M. L. Richards, R. Leitinger

DUST-2 CD-ROM frontcover The strong increase of atmospheric data e.g. by >ESA's ENVISAT (Environmental Satellite, launched 2002) is a great challenge for all data base systems. These data are important for studies on the field of global change. Ozone data are especially essential because of the influence of the UV radiation on the biosphere including humans.

Graphical tools providing an obvious and intuitive interface to the data, both numerical and textual, get increasingly important for the data bases, proportional to the magnitude of the data flux. They assist in exploring, selecting from, and searching the data base. They have been combined and investigated in context with a pilot project for the validation of atmospheric data, carried out at the Max Planck Institute for Solar System Research (MPS) in Katlenburg-Lindau, Germany and supported by DLR (Kkz. 50 EE 98038 from 01.01.1998 - 31.08.2000). These facilities can be used to prepare and to publish, in principle, any data base.

Here, classical and modern documentation methods - comprising data classification, storage and retrieval - and validation methods for selected data and texts of the Earth's atmosphere can be interactively graphically linked and the results displayed. The software functionality includes visualization, animation and mathematical statistical processing and allows to reveal ozone trends or to ascertain differences between data sets.

> Handouts
> DUST-2 CD-ROM
> Contact
> Additional information
 

Handouts

DUST-2 presentation at the  EGS-Symposium (European Geophysical Society) in Nice (France) between 24. April and  29. April 2000.

> Concept of DUST-2 (pdf, 61 KB)
> DUST 1.5: General Aspects (pdf, 335 KB)
> DUST 1.5: Interactive data visualization  (pdf, 480 KB)
> TEC and Space Weather  (pdf, 569 KB)
> Data validation with examples (pdf, 313 KB)
> Retrieval comparison from various text sources  (pdf, 29 KB)
> DUST-2 and thesaurus research  (pdf, 164 KB)
> Interactive text retrieval based on document similarities  (pdf, 129 KB)

Editors: G. K. Hartmann, A. Nölle, M. L. Richards, R. Leitinger

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DUST-2 CD-ROM

The DUST-2 CD-ROM is a result of the above mentioned pilot project, and is intended to show the synergy of the graphical linkage between relevant texts and data and should help to improve the present unsatisfactorily availability of qualified filtered, direct useable information. It should further initiate and support related learning processes.

In an introductory chapter on the CD-ROM the concept is presented with graphics and texts accompanied by some basic articles and a glossary (English/German). Then the cd contains:

  • Formal concept analysis for data retrieval, validation and thesaurus research
  • Joint retrieval methods for atmospheric temperature, ozone and water vapor data, as well as the graphical retrieval and presentation of these data and other trace gases, especially with the new developed S4 search tool
  • Neural network methods for H2O data validation
  • Classical methods for total electron content (TEC) of the atmosphere, space weather data and ultraviolet radiation data
  • TOSCANA-software for linkage of texts with DUST-software and data, as well as for thesaurus research.
  • Comparison of O3 and H2O retrievals from STN: inspec, Energy Data Base, Web of Science
  • Self Organizing Map (SOM)Access: Data mining applied to STN ozone and water vapor abstracts and to EGS 2000 conference abstracts.

DUST-2 is available on CD-ROM (ISBN 3-9804862-3-0) from the Copernicus Gesellschaft e.V. (>www.copernicus.org/EGS/EGS.html) in Katlenburg-Lindau or at >science-softCon (Shipping & Handling 15 EURO).

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Contact

For questions or comments on the DUST-2 project please contact us: > DUST-2@science-softCon.de

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Additional information

Additional information on DUST-2 is available at > science-softCon .


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