SSBD:database

Name

ssbd-repos-000520

URL

DOI

Title

Experimental Dataset for "Ensemble dynamics and information flow deduction from whole-brain imaging data" and "WormTensor: a clustering method for time-series whole-brain activity data from C. elegans”

Description

normalize1_withoutremove.zip is the time course of whole-brain activities of C. elegans for 28 animals used in Tsuyuzaki et al, "WormTensor: a clustering method for time-series whole-brain activity data from C. elegans” (BMC Bioinformatics, 2023, https://doi.org/10.1186/s12859-023-05230-2) This dataset is superset of the data used in Toyoshima et al, "Ensemble dynamics and information flow deduction from whole-brain imaging data" (now in press at PLoS Comp Biol, https://doi.org/10.1371/journal.pcbi.1011848) or its preprint on bioRxiv 2022.11.18.517011 (https://doi.org/10.1101/2022.11.18.517011) 20221118freezed.7z is the dataset used in with TDE-RICA (https://github.com/YuToyoshima/TDE-RICA) and gKDR-GMM (https://github.com/yuichiiino1/gKDR-GMM).

Submission date

2026-06-19

Release date

2026-06-22

Update date

-

License

Funding information

JST CREST JPMJCR12W1 JST CREST JPMJCR22N4 JSPS KAKENHI 17H06113 "Grant-in-Aid for Scientific Research (S)" JSPS KAKENHI 22H00416 JSPS KAKENHI 20K21805 JSPS KAKENHI 25115009 JSPS KAKENHI 19H04980 "Artificial Intelligence and Brain Science" JST PREST JPMJPR1947 JSPS KAKENHI 26830006 "Grants-in-Aid for Young Scientists" JSPS KAKENHI 18K14848 "Grants-in-Aid for Young Scientists" JSPS KAKENHI 16H01418 "Resonance Bio" JSPS KAKENHI 18H04728 "Resonance Bio" JSPS KAKENHI 17H05970 "Navi-Science" JSPS KAKENHI 19H04928 "Navi-Science" JSPS KAKENHI 20115003 “Systems molecular ethology" JSPS KAKENHI 20115009 JSPS KAKENHI 18H05135 "Brain information dynamics" JSPS KAKENHI 24650167 JSPS KAKENHI 19H03326 JSPS KAKENHI 17H06113 JSPS KAKENHI 16H0654 JST PRESTO 7700000461 NTT-Kyushu University Collaborative Research JSPS KAKENHI 21K15182

File formats

.xlsx, .csv

Data (repos)

82 files / 3.24 GiB

Bundle (zip)

2 files / 2.91 GiB