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Dominik Aschauer 2 years ago
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README.md

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 # Aschauer_etal_elementary_operations
 
 Chronic in vivo calcium imaging dataset of neuronal populations in the auditory cortex of passively listening mice. Baseline and auditory cued fear conditioning cohorts.
-Each filename (e.g. 'mouse01_fov01_day1.mat') describes the index of the imaged mouse, the respective index of the fov, and the imaging day. In each file, you can find the images of both channels (channel1 = H2B::mCherry, channel2 = GCaMP6m) as a three dimensional matrix of 156 (pixel number of rows), 256 (pixel number of columns), and the number of frames.
-Additionally, we provide the information about sensory stimulations in the file 'stimulation_info.zip'. Here, the individual filename matches the filename of the image files. In each file (e.g. 'mouse01_fov01_day1.mat'), you can find a vector of the length of the number of frames in the respective imaging session. The value in the vector indicates which and when a stimulus was presented (0 = no stimulus, 1-34 = stimulus index). The information on which stimulus index was which stimulus can be found in the file 'stimulus_names.mat').
-Additionally, we provide the information about extracted rois after image processing in the file 'roi_coordinates.zip'. In each file (e.g. 'mouse01_fov01_day1.mat'), you can find a three dimensional matrix of two spatial dimensions, roi index, and the number of frames. The code for image processing can be downloaded from a public repository (DOI: 10.5281/zenodo.5822486).
+Each filename (e.g. 'mouse01_fov01_day01.mat') describes the index of the imaged mouse, the respective index of the fov, and the imaging day. In each file, you can find the images of both channels (channel1 = H2B::mCherry, channel2 = GCaMP6m) as a three dimensional matrix of 156 (pixel number of rows), 256 (pixel number of columns), and the number of frames.
+Additionally, we provide the information about sensory stimulations in the file 'stimulation_info.zip'. Here, the individual filename matches the filename of the image files. In each file (e.g. 'mouse01_fov01_day01.mat'), you can find a vector of the length of the number of frames in the respective imaging session. The value in the vector indicates which and when a stimulus was presented (0 = no stimulus, 1-34 = stimulus index). The information on which stimulus index was which stimulus can be found in the file 'stimulus_names.mat').
+Additionally, we provide the information about extracted rois after image processing in the file 'roi_coordinates.zip'. In each file (e.g. 'mouse01_fov01_day01.mat'), you can find a three dimensional matrix of two spatial dimensions, roi index, and the number of frames. The code for image processing can be downloaded from a public repository (DOI: 10.5281/zenodo.5822486).
 Further information about analysis of this dataset can be found in the corresponding published article.