4.3 Article

Automated Multi-Dataset Analysis (AMDA): An on-line database and analysis tool for heliospheric and planetary plasma data

Journal

PLANETARY AND SPACE SCIENCE
Volume 201, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.pss.2021.105214

Keywords

Space plasmas; Analysis tool; Database; Interoperability

Funding

  1. CNRS
  2. CNES
  3. Universite Toulouse 3 Paul Sabatier, France
  4. NASA/SPDF
  5. NASA/NAIF
  6. NASA/PDS
  7. VESPA
  8. ESAC
  9. 3DView at GFI
  10. Observatoire de Paris

Ask authors/readers for more resources

Accessing, visualizing and analyzing heterogeneous plasma datasets has been a tedious task, hindering students and senior researchers. Providing user-friendly and versatile tools is crucial for data centres to enhance science return on data. AMDA, developed by CDPP, offers unique capabilities for educational purposes.
Accessing, visualizing and analyzing heterogeneous plasma datasets has always been a tedious task that hindered students and senior researchers as well. Offering user friendly and versatile tools to perform basic research tasks is therefore pivotal for data centres including the Centre de Donnees de la Physique des Plasmas (CDPP http://www.cdpp.eu/) which holds a large variety of plasma data from various Earth, planetary and heliophysics missions and observatories in plasma physics. This clearly helps gaining increased attention, relevant feedback, and enhanced science return on data. These are the key ideas that crystallized at CDPP more than 15 years ago and resulted in the lay-out of the concepts, and then development, of AMDA, the Automated Multi-Dataset Analysis software (http://amda.cdpp.eu/). This paper gives a description of the architecture of AMDA, describes its functionalities, presents some use cases taken from the literature or fruitful collaborations and shows how it offers unique capabilities for educational purposes.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.3
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available