SSBD:repository
Introduction
System Science of Biological Dynamics repository (SSBD:repository) is an open data archive that stores and publishes bioimaging and biological quantitative datasets that are associated with published or to be published studies. It allow other researchers to access and download those datasets for referene or for further investigations.
Find the dataset from search box above, or see the dataset list in Resources.
SSBD:repository has started operation in 2016, under the life science database integration promotion project of the Japan Science and Technology (JST), National Bioscience Database Center (NBDC). Currently it is funded from RIKEN, JST and Grant-in-Aid for Scientific Research from the Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT).
For an overview of the SSBD:database/repository, please refer to the paper,
Tohsato, Y., Ho, K. H. L., Kyoda, K., and Onami S. (2016)
"SSBD: a dataset of quantitative data of spatiotemporal dynamics of biological phenomena."
Bioinformatics, 32(22): 3471-3479
https://doi.org/10.1093/bioinformatics/btw417
Share your data in SSBD:repository
SSBD:repository covers a wide range of biological phenomena, from single molecules to cells / individuals. DOI (Digital Object Identifier) can be assigned to each dataset. Datasets in SSBD:repository are licensed under CC BY, CC BY-NC-SA, etc, upon request of the data contributors.
If you would like to share your image data or quantitative data of biological phenomena, or any other questions, please send an e-mail to ssbd-repos@ml.riken.jp.
News
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2021-01-16,
System maintenance on 2021/1/22, 1/23
Due to system maintenance, SSBD:database/repository will not be available from Jan 22 17:00 to Jan 23 17:00. Sorry for inconvenience. -
2020-12-24,
SSBD 2020 Update
SSBD 2020 update, the metadata database fully renewed, and 77 image datasets (7GB) and 4 quantitative datasets are added. We are plaining next database update in a half year for COVID-19 situation. -
2020-08-12,
A new paper on BD5 is published in PLOS ONE
A new paper "BD5: an open HDF5-based data format to represent quantitative biological dynamics data" is now published in PLOS ONE. https://doi.org/10.1371/journal.pone.0237468 - Older news...
Funding
