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)		1 năm trước cách đây
Analyzed Data	d2ed3dd7ef Unzipping dataset	1 năm trước cách đây
WiN3R results	d2ed3dd7ef Unzipping dataset	1 năm trước cách đây
LICENSE	cfec104170 Initial commit	1 năm trước cách đây
README.md	718219e132 Extended readme, fixed datacite.yml	1 năm trước cách đây
datacite.yml	2bd09bcd88 Split bioRxiv and eNeuro papers (will revert after publication)	1 năm trước cách đây

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