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About pvc-13

Information about the data including data types, experiments, format of the data, how to download the data.

Summary of the data

The data set consists of 2- and 3-photon excitation movies of GCaMP6s fluorescence in primary visual cortex of awake transgenic mice, genotype Slc17a7-IRS2-Cre;Ai162. 2- and 3-photon movies were collected as near-simultaneous movie pairs, with 2- and 3-photon excitation on alternate lines, enabled by rapid switching of excitation sources sync’ed to the line clock of the microscope.

The data set is from three experiments: expt180830, expt180831, expt181003, each with images from depths. Uploaded data sets are raw movies, each containing one channel of either 2- or 3-photon data, ~2000 images acquired at ~3.6 Hz. Field of view is 400 x 200 µm. Images are 512 x 256 pixels (expt180830, expt180831) or 480 x 240 pixels (expt181003).

Further details of methods and results are provided in:

Takasaki K, Abbasi-Asl R, Waters J (2019) Superficial bound of the depth limit of 2-photon imaging in mouse brain. eNeuro 2020;7(1):ENEURO.0255-19.2019.

Format of the data

The data is stored in .Tiff movies. Details about the data are in the document linked-to at the end of this page. Total data size is about 15 GB.

Conditions for using the data

Please consult the authors (contact before publishing results based on these data. If you publish any work using the data, please cite the publication above (Takasaki et al., 2019) also cite the data set using the following:

Takasaki K, Tsyboulski D and Waters J (2020) Near-simultaneous 2- and 3-photon images from mouse visual cortex.

The above citation uses a Digital Object Identifier (DOI) which is assigned to the data set.  The DOI was created using DataCite ( and the California Digital Library, "EZID" system (

How to download the data

Data may be downloaded from:
A account is required. See the download link for more instructions.

Getting help using the data

If you have questions about using the data, please post them on the forum for using data sets.

Documentation files


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