This section describes main characteristics of the Edat_1_1661 data set and its attributes:
General information
Astrophysical data set |
Type | Time series | Origin | Real world |
Features | 4 | (Real / Integer / Nominal) | (4 / 0 / 0) |
Instances | 1655 | Missing values? | No |
Attribute description
Attribute | Domain |
Lag04 | [-0.2791,0.3206] |
Lag03 | [-0.2791,0.3206] |
Lag02 | [-0.2791,0.3206] |
Lag01 | [-0.2791,0.3206] |
Lag00 | [-0.2791,0.3206] |
Additional information
This is a set of measurements of the light curve (time variation of the intensity) of the variable white dwarf star PG1159-035 during March 1989. It was recorded by the Whole Earth Telescope (a coordinated group of telescopes distributed around the earth that permits the continuous observation of an astronomical object) and submitted by James Dixson and Don Winget of the Department of Astronomy and the McDonald Observatory of the University of Texas at Austin. The telescope is described in an article in The Astrophysical Journal (361), p. 309-317 (1990), and the measurements on PG1159-035 will be described in an article scheduled for the September 1 issue of the Astrophysical Journal. The observations were made of PG1159-035 and a nonvariable comparison star. A polynomial was fit to the light curve of the comparison star, and then this polynomial was used to normalize the PG1159-035 signal to remove changes due to varying extinction (light absorption) and differing telescope properties.
In this section you can download some files related to the Edat_1_1661 data set:
- The complete data set already formatted in KEEL format can be downloaded from
here
.
- A copy of the data set already partitioned by means of a 5-folds cross validation procedure can be downloaded from here
.
- The header file associated to this data set can be downloaded from here
.
- This is not a native data set from the KEEL project. It has been obtained from the The Santa Fe Time Series Competition Data. The original page where the data set can be found is: http://www-psych.stanford.edu/~andreas/Time-Series/SantaFe.html.
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