We use cookies to ensure you get the best experience on our website
Domů Procházet Nápověda News
Registrovat se Přihlásit se
larkumlab
/
Bergmann_2022_DataRepository
DOI
10.12751/g-node.j9wxqe
4
0
Rozštěpit 1
Soubory Úkoly 1 Pull Requesty 0 Wiki
Větev: master
Větve Značky
Bergmann_202...
/
01_data
/
README.md

README.md 2.1 KB
Trvalý odkaz Historie Download

Datasets

schematics of the flow of analysis

  • 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).