.. _sphx_glr_auto_examples_correlated_examples: Correlated datasets =================== The Core Scientific Dataset Model (CSDM) supports multiple dependent variables that share the same `d`-dimensional coordinate grid, where :math:`d>=0`. We call the dependent variables from these datasets as `correlated datasets`. Following are a few examples of the correlated dataset. .. raw:: html
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.. only:: html .. image:: /auto_examples/correlated_examples/images/thumb/sphx_glr_plot_0_0D11_dataset_thumb.png :alt: :ref:`sphx_glr_auto_examples_correlated_examples_plot_0_0D11_dataset.py` .. raw:: html
Scatter, 0D{1,1} dataset
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.. only:: html .. image:: /auto_examples/correlated_examples/images/thumb/sphx_glr_plot_1_meteorology_thumb.png :alt: :ref:`sphx_glr_auto_examples_correlated_examples_plot_1_meteorology.py` .. raw:: html
Meteorological, 2D{1,1,2,1,1} dataset
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.. only:: html .. image:: /auto_examples/correlated_examples/images/thumb/sphx_glr_plot_2_astronomy_thumb.png :alt: :ref:`sphx_glr_auto_examples_correlated_examples_plot_2_astronomy.py` .. raw:: html
Astronomy, 2D{1,1,1} dataset (Creating image composition)
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.. toctree:: :hidden: /auto_examples/correlated_examples/plot_0_0D11_dataset /auto_examples/correlated_examples/plot_1_meteorology /auto_examples/correlated_examples/plot_2_astronomy