## Data Organization

The data organization describes the physical meaning of the independent variable(s) with respect to which the observables are measured. This is useful for knowing whether and how different data sets can be directly compared, overlaid, mapped, or otherwise transformed.

#### Data_Layout

type:

menu

FITS keyword:DATA_ORG

The following values are recognized:

image

data organized by two dimensions corresponding to angular displacement along the axes; examples include photograms (digital or digitized photographs), spectroheliograms, magnetograms, and Dopplergrams

map

data organized by two dimensions corresponding to spatial displacement along the axes; examples include synoptic charts

time_series

data organized by one dimension corresponding to temporal displacement along the axis; note that this is not the same as a time-tagged set of data records, since it implies sampling uniformity and provision for data gaps

movie

data organized by three dimensions corresponding to spatial or angular displacement along two axes and temporal displacement along the principal (most slowly varying) axis

spectrum

data organized by one dimension corresponding to displacement in electromagnetic wavelength or frequency along the axis

mode_spectrum

data organized by one or more dimensions corresponding to the quantum numbers of oscillations

spectral_temporal

data organized by two dimension corresponding to displacement in wavelength or frequency along one axis and temporal diplacement along the other

spatial_spectral

data organized by two dimensions corresponding to spatial or angular image axes and one corresponding to electromagnetic spectral displacement