About ssc-6
Summary of the data
The data contain 2-photon calcium population recordings of responses to controlled whisker stimulation in the barrel cortex of anesthetized mice. The aim was to investigate how neurons with sensitivity to different dynamic features of whisker stimuli are distributed locally across the barrel cortex. We found that nearby neurons represent diverse kinematic features, providing a rich population representation at the local scale. The results are compatible with randomly distributed selectivity to stimulus features, with no systematic additional map or ordering scheme superimposed upon the whisker map. Our data can be usefully contrasted to similar results in mouse visual and auditory cortex, and to data collected by other groups in the barrel cortex. Publication using the data:
Format of the data
The data set consists of ten folders corresponding to ten mice. Inside each folder there are two subfolders (“movies” and “stim”) containing: i) raw movies, and ii) stimulus files. Movies are saved as TIFF stacks. Stimuli are stored as numerical arrays in MAT files (Matlab). Experiments 8 to 10 have a third subfolder (“histology”) corresponding to the tissue reconstruction to locate the neurons acquired in the barrel field. These are saved in PDF format. Details are described in the document linked to at the end of this page. Total data size is about 7.6 GB (compressed).
Conditions for usage of this data in publications
If you publish any work using the data, please cite the publication above (Martini, et al., 2017) also cite the data set using the following:
Francisco J. Martini, Manuel Molano-Mazón and Miguel Maravall (2017); Interspersed Distribution of Selectivity to Kinematic Stimulus Features in Supragranular Layers of Mouse Barrel Cortex. CRCNS.org.
http://dx.doi.org/10.6080/K02F7KCP
The above citation uses a Digital Object Identifier (DOI) which is assigned to the data set. The DOI was created using DataCite (www.datacite.org) and the California Digital Library, "EZID" system (ezid.cdlib.org).
How to download the data
Data may be downloaded from:
https://portal.nersc.gov/project/crcns/download/ssc-6
A CRCNS.org 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.
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