| URL: | https://etdb.caltech.edu |
| Full name: | Caltech Electron Tomography Database |
| Description: | Three-dimensional electron tomography provide valuable insights into cellular structures, and present significant challenges for data storage and dissemination. ETDB offers a massive dataset for software developers to develop, test and improve image processing algorithms. |
| Year founded: | 2019 |
| Last update: | |
| Version: | |
| Accessibility: |
Accessible
|
| Country/Region: | United States |
| Data type: | |
| Data object: | |
| Database category: | |
| Major species: |
NA
|
| Keywords: |
| University/Institution: | Howard Hughes Medical Institute |
| Address: | Howard Hughes Medical Institute, Pasadena, California, United States of America |
| City: | |
| Province/State: | |
| Country/Region: | United States |
| Contact name (PI/Team): | Grant Jensen |
| Contact email (PI/Helpdesk): | jensen(at)caltech.edu |
|
ETDB-Caltech: A blockchain-based distributed public database for electron tomography. [PMID: 30986271]
Three-dimensional electron microscopy techniques like electron tomography provide valuable insights into cellular structures, and present significant challenges for data storage and dissemination. Here we explored a novel method to publicly release more than 11,000 such datasets, more than 30 TB in total, collected by our group. Our method, based on a peer-to-peer file sharing network built around a blockchain ledger, offers a distributed solution to data storage. In addition, we offer a user-friendly browser-based interface, https://etdb.caltech.edu, for anyone interested to explore and download our data. We discuss the relative advantages and disadvantages of this system and provide tools for other groups to mine our data and/or use the same approach to share their own imaging datasets. |