SSBD is a platform for sharing and reusing bioimaging data. SSBD:database is an added-value database for bioimages and biological dynamics data. It provides a rich set of open resources for analyzing microscopy images and qunatitative data of biological objects, such as single-molecule, cell, tissue, individual, etc., and software tools for analysis. Microscopy images and quantitative biological data are collected from a variety of species, sources, and methods. These include data obtained from both experiments and computational simulations.
SSBD:database shares 225 projects, SSBD shares totally 269 projects, 33.1 TB (2024-12-21)
Find the dataset from the search box above, or see the dataset list on the Resources.
See Citation Policies(PDF) for citation instructions.
For more information, please refer to the following paper:
Koji Kyoda, Hiroya Itoga, Yuki Yamagata, Emi Fujisawa, Fangfang Wang, Miguel Miranda-Miranda, Haruna Yamamoto, Yasue Nakano, Yukako Tohsato, Shuichi Onami,
"SSBD: an ecosystem for enhanced sharing and reuse of bioimaging data," Nucleic Acids Research,
doi: 10.1093/nar/gkae860, pmid: 39479781
SSBD:database shares selected, highly reusable bioimaging data and biodynamics data. Our curators will invite to share the data from SSBD:repository and accepted papers. Share youre data on SSBD:repository first, or send e-mail to us.
A new paper on SSBD has been published. It describes the two-tier ecosystem of SSBD:repository and database and the Global Image Data Ecosystem (GIDE), based on a global collaboration.
Koji Kyoda, Hiroya Itoga, Yuki Yamagata, Emi Fujisawa, Fangfang Wang, Miguel Miranda-Miranda, Haruna Yamamoto, Yasue Nakano, Yukako Tohsato, Shuichi Onami, …
SSBD has revised its data storage policy as follows to ensure proper data collection, metadata annotation, publication, and reuse.
- From SSBD:repository, all original data will be stored and published, and the download and API service will be unified via SSBD:repository
- From SSBD:database, we promote data publication in highly …
bioimagram: View in Dataset, View in OMERO