scholarly journals An Overview of Datasets on Small Bodies Available Through the Planetary Data System and Soard

1994 ◽  
Vol 160 ◽  
pp. 483-488
Author(s):  
Donald R. Davis ◽  
MICHAEL A'HEARN ◽  
Edwin Grayzeck ◽  
Mark V. Sykes ◽  
E.M. Alvarez Del Castillo ◽  
...  
Keyword(s):  
Relational Database ◽  
Data System ◽  
Small Bodies ◽  
Planetary Data System ◽  
The Future ◽  
System Project

In this chapter we present an overview of NASA's Planetary Data System project with emphasis on the Small Bodies Node (SBN) and describe a separate relational database project, the Steward Observatory Asteroid Relational Database (SOARD). We summarize the datasets that are currently available through SBN and SOARD as well as those planned to be ingested in the future. Procedures for accessing data from the SBN and SOARD via Internet are included.

Services of the Small Bodies Node of the Planetary Data System

1996 ◽  
Vol 44 (1) ◽  
pp. 47-54
Author(s):  
E.J. Grayzeck ◽  
M.F. A'Hearn ◽  
A.C. Raugh ◽  
M.V. Sykes ◽  
D.R. Davis ◽  
...  
Keyword(s):  
Data System ◽  
Small Bodies ◽  
Planetary Data System

An Overview of Datasets on Small Bodies Available through the Planetary Data System and SOARD

1994 ◽  
pp. 483-488
Author(s):  
Donald R. Davis ◽  
Michael A’Hearn ◽  
Edwin Grayzeck ◽  
Mark V. Sykes ◽  
E. M. Alvarez Del Castillo ◽  
...  
Keyword(s):  
Data System ◽  
Small Bodies ◽  
Planetary Data System

The Planetary Data System

1996 ◽  
Vol 44 (1) ◽  
pp. 1-2 ◽  
Author(s):  
C.T. Russell
Keyword(s):  
Data System ◽  
Planetary Data System

The Planetary Data System Geosciences Node

1996 ◽  
Vol 44 (1) ◽  
pp. 13-22 ◽  
Author(s):  
Edward A. Guinness ◽  
Raymond E. Arvidson ◽  
Susan Slavney
Keyword(s):  
Data System ◽  
Planetary Data System

scholarly journals The Rotterdam Approach Control

1972 ◽  
Vol 25 (1) ◽  
pp. 99-100
Author(s):  
R. B. Richardson
Keyword(s):  
Radar Data ◽  
Direct Reference ◽  
Data System ◽  
The Future ◽  
One Step

Listening to Captain Brandenburg's talk on his ideas about the future navaids in Rotterdam (this Journal, 25, 67) I was left with the conviction that even the most ardent opponents of change will at least be better informed having heard it. Although in his introduction he excluded direct reference to Rotterdam, it is well known that the new Auto Com/Radar Data system when introduced there will be a real milestone for historians of port entrance techniques. I would like to think that it will lead us in this country one step closer to the day when we take the option out of progress on our own coasts and waterways and get on with it as they are doing in Rotterdam. There is of course one great difference—in Holland and Germany the Governments and Municipalities are involved, so that the necessary finances are seen in a clearer light.

scholarly journals Searching for close approaches of the stars pairs in the galactic disk with Gaia EDR3 data

2021 ◽  
Author(s):  
M. D. Sizova ◽  
◽  
S. V. Vereshchagin ◽  
Keyword(s):  
Galactic Center ◽  
Orbital Motion ◽  
Galactic Disk ◽  
Small Bodies ◽  
The Past ◽  
The Future

Using calculations of the orbital motion around the Galactic center we searched for approaching stars on 5 Myr in the past and the future. We provide stars that approached up to 1 pc to each other. Considered process is important for researching the interstellar small bodies origin.

scholarly journals 5V‟s of Big Data Attributes and their Relevance and Importance across Domains

2020 ◽  
Vol 9 (11) ◽  
pp. 154-163
Keyword(s):  
Big Data ◽  
Data System ◽  
Data Systems ◽  
Wholesale Trade ◽  
Formal Study ◽  
The Future ◽  
Future Data ◽  
Immense Potential ◽  
Robust Systems

Data is an ocean of Universal Facts”. Big data once an emergent technology of study is in its prime with immense potential for future technological advancements. A formal study in the attributes of data is essential to build robust systems of the future. Data scientists need a basic foot hold when studying data systems and their applications in various domains. This paper intends to be THE go-to resource for every student and professional desirous to make an entry in the field of Big Data. This paper has two focus areas. The first area of focus is the detailing of the 5 V attributes of data i.e. Volume, Variety, Velocity, Veracity and Value. Secondly, we will endeavor to present a domain wise independent as well as comparative of the correlation between the 5 V’s of Big Data. We have researched and collected information from various market watch dogs and concluded by carrying out comparatives which are highlighted in this publication. The domains we will mention are Wholesale Trade Domain, Retail Domain, Utilities Domain, Education Domain, Transportation Domain, Banking and Securities Domain, Communication and Media Domain, Manufacturing Domain, Government Domain, Healthcare Domain, etc. This is invaluable information for Big Data system designers as well as future researchers.

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