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When MNE-Python loads sensor data, the data are stored in a Python object of type :class:`mne.io.Raw`. Specialized loading functions are provided for the raw data file formats from a variety of equipment manufacturers. All raw data input/output functions in MNE-Python are found in :mod:`mne.io` and start with :samp:`read_raw_{*}`; see the documentation for each reader function for more info on reading specific file types.
As seen in the table below, there are also a few formats defined by other neuroimaging analysis software packages that are supported (EEGLAB, FieldTrip). Like the equipment-specific loading functions, these will also return an object of class :class:`~mne.io.Raw`; additional functions are available for reading data that has already been epoched or averaged (see table).
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More details are provided in the tutorials in the :ref:`tut-data-formats` section.