Dataset supporting SEB3R, a MATLAB pipeline for parcellation of freely-moving mouse behaviour.

Enrico Trombetta 2bd09bcd88 Split bioRxiv and eNeuro papers (will revert after publication)		10 months ago
Analyzed Data	d2ed3dd7ef Unzipping dataset	10 months ago
WiN3R results	d2ed3dd7ef Unzipping dataset	10 months ago
LICENSE	cfec104170 Initial commit	1 year ago
README.md	718219e132 Extended readme, fixed datacite.yml	10 months ago
datacite.yml	2bd09bcd88 Split bioRxiv and eNeuro papers (will revert after publication)	10 months ago

SEB3R Validation Dataset

About

This repo contains all data used for the validation of MATLAB pipeline: Whisker Nuisance test 3D for Rodents. The script are available here.

Note: this dataset was generated through DeepLabCut and SEB3R! Original video tracking files are released in a separate dataset.

Download and setup SEB3R
When launching any script, use one of the subfolders WN-HH, WN-MH, or Open Field group under WiN3R results. All results will be generates within the same subfolder.

WiN3R: specific dataset groups. Note that they have already been processed with the SEB3R pipeline.
- Open Field group: mice placed in open field for 15 minutes, divided into 5 3-minute sessions. Used as control.
- WN-MH: mild habituation group.
- WN-HH: heavy abituation group.
- Cohort WNt3R validation.xlsx: summary of the subjects identifiers used in each experimental condition.
Analyzed Data: a number of statistical tests on the aforementioned datasets performed with GraphPad Prims8 and provided as XLSX file.

datacite.yml
Title	SEB3R Validation Data
Authors	Chelini,Gabriele;University of Trento;ORCID:0000-0001-6654-4332 Trombetta,Enrico Maria;University of Trento;orcid:0000-0001-5162-1059
Description	Dataset supporting SEB3R, a MATLAB pipeline for parcellation of freely-moving mouse behaviour.
License	Creative Commons CC0 1.0 Public Domain Dedication (https://creativecommons.org/publicdomain/zero/1.0/)
References	Chelini G., Trombetta E. M., Fortunato-Asquini T., Ollari O., Pecchia T., Bozzi Y. (2023) "Automated Segmentation of the Mouse Body Language to Study Stimulus-Evoked Emotional Behaviors", bioRxiv [doi:10.1101/2022.11.27.518077] (IsSupplementTo) Chelini G., Trombetta E. M., Fortunato-Asquini T., Ollari O., Pecchia T., Bozzi Y. (in press) "Automated Segmentation of the Mouse Body Language to Study Stimulus-Evoked Emotional Behaviors", eNeuro [doi:tba] (IsSupplementTo) Chelini G., Trombetta E. M. (2023) "SEB3R Pipeline". G-Node. https://doi.org/10.12751/g-node.971c6r [doi:10.12751/g-node.971c6r] (IsReferencedBy)
Funding	CARITRO postdoctoral fellowship EU, EU.63,000
Keywords	Neuroscience Murine behaviour Neuroethology Machine Learning
Resource Type	Dataset