Keisuke Sehara 79dfb0a26b document datasets		2 éve
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01_raw @ 2e08465f7d	79dfb0a26b document datasets	2 éve
02_whisker-tracking @ 1a0cd68825	79dfb0a26b document datasets	2 éve
03_eye-tracking @ 472a0bed6c	79dfb0a26b document datasets	2 éve
04_formatted @ c82ec506f3	79dfb0a26b document datasets	2 éve
resources	30593b0701 add datasets	2 éve
README.md	d9c2e70902 fix broken link	2 éve

Datasets

01_raw: the raw data being analyzed:
- top-view videos (top): AVI files taken at 200 Hz using ZR View (a custom video acquisition software) under the near-UV lighting, trial-based.
- eye videos (left-eye and right-eye): AVI files taken at 100 Hz using PylonPD (a custom video acquisition software) under the IR-lighting, trial-based.
- behavioral annotation (states): CSV files containing manual annotation of behavioral states based on the top-view videos, trial-based.
02_whisker-tracking: whisker tracking data based on the top-view videos, using the videobatch python module:
- maximal projections (projection): PNG files containing a maximal projection of top-view video frames from each single trial.
- ROIs (ROI): PNG files representing the mask for ROIs generated from the maximal projection images. These ROIs were used for the subsequent tracking.
- color-tracking mask videos (mask): MP4 files containing color masks generated by color-tracking procedure of videobatch.
- tracked whisker positions (result): CSV files containing the center-of-mass positions of tracked whiskers (in pixels).
03_eye-tracking: CSV files containing information about eye- and pupil-tracking based on the eye videos, using DeepLabCut and fitting2d.
04_formatted: the data being used for analysis. Includes a set of videos where the eye videos and behavioral annotations are aligned and overlaid on top of the top-view videos (video quality is not so high).