Data set for "Cell-class-specific orofacial motor maps in mouse neocortex"

Data set for: Tamura K, Bech P, Mizuno H, Veaute L, Crochet S, Petersen CCH (2025) Cell-class-specific orofacial motor maps in mouse neocortex. Current Biology. https://doi.org/10.1016/j.cub.2025.01.056

There are 2 files in this upload:

1. The file named "2025_Tamura_Bech_CurrentBiology.pdf" is the Open Access pdf of the online publication in Current Biology.

2. The file named "Tamura_Bech_data_code.7z" (~80 GB) is a compressed version of a folder "Tamura_Bech_data_code" (~280 GB), which contains the pre-processed data analysed in the study along with the Python code used to generate the figures in the publication. To access the data and codes, unzip the file (https://www.7-zip.org/). 

To run the code:

i) First, create a conda environment using the "environment.txt" file. In the Anaconda command line, execute the following statement:   conda env create -n Tamura_Bech_2025 -f environment.txt    ii) Next, activate the environment:   conda activate Tamura_Bech_2025

iii) Check package versions:   - Python==3.9   - Pandas==1.5.3   - Numpy==1.24   - Scipy==1.8.1   - Statsmodels==0.13.5   - Matplotlib==3.7.1   - Seaborn==0.13.0   - Plotly==5.15.0   - Scikit-image==0.20.0

iv) Run the code by navigating to the folder "Tamura_Bech_data_code" and writing in the Anaconda command line:    python Figure1_2.py    python Figure3.py    python Figure4.py    python Fluorescence_control_topview.py    python jRGECO_photoactivation.py

The output of the code is saved in the "results" folder and should reproduce the figures in the published paper.