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# 1. Dataset information
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A set of high-density EEG (electroencephalogram) recording obtained from awake, freely-moving mice (*mus musculus*) (n = 6). Details of experimental method are described in the original research article using the same dataset [Hwang et al., 2019, *Brain Structure and Function*].
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* Related publication: [Hwang et al., 2019, *Brain Structure and Function*](https://link.springer.com/article/10.1007/s00429-019-01845-5).
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**Step-by-step tutorial is included, fully functioning with _Google Colaboratory_ environment. [Open in COLAB [*data_description.ipynb*]](http://colab.research.google.com)**
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# 2. File organization
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Raw EEG data are saved in EEGLAB dataset format (*.set). Below are the list of files included in the database.
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[Data_Description_gin-Mouse_hdEEG_ASSR_Hwang_et_al.ipynb]
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* written and tested on Google COLAB - Python 3 environment
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# 3. How to get started (Python 3 without _gin_)
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As the data are saved in EEGLAB format, you need to install appropriate module to access the data in Python3 environment. The fastest way would be to use <code>read_epochs_eeglab()</code> function in *MNE-python* module. You can download the toolbox from the link below (or use <code>pip install mne</code> in terminal shell).
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*[MNE-python]* https://martinos.org/mne/stable/index.html
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## Part 1. Accessing dataset
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### 1-1. Download dataset and MNE-python module
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Hio-Been Han