Dataset for "Cheese3D enables sensitive detection and analysis of whole-face movement in mice"

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Kyle Daruwalla, Irene Nozal Martin, Linghua Zhang, Diana Naglič, Andrew S. Frankel, Catherine L Rasgaitis, Rubin Zhao, Xinyan Zhang, Zainab Ahmed, Jeremy Borniger, Helen Hou
DOI: 10.5281/zenodo.18508087
Cited by: 1

Abstract

Datasets used in "Cheese3D enables sensitive detection and analysis of whole-face movement in mice". Data files are organized as: source_keypoints.tar.gz : 3D keypoints extracted for video data used in paper analysis source_ephys.tar.gz : electrophysiology data (sorted spike times) used in paper analysis source_eeg.tar.gz : electroencephalogram data used in paper analysis source_chew_metadata.tar.gz : metadata information associated with chewing experiments used in paper analysis

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
6 February 2026
Document type
Dataset