Please log in to request data products via Data Search
Please log in to run requests for data products (searches). There are numerous benefits. Non-logged-in / anonymous users searches are limited to 3 months time range and the search results are only available for 3 days upon completion. For logged in users, search results are available for 21 days. Also, if we find any errors in the data that has been downloaded, we contact all affected users. It is possible that the requested searches are too big to complete within server uptime (usually two weeks). If this or any other problems occur while running your search request, ONC support will work with you to fix them. Logged-in users have access to the service help desk and help buttons. Non-logged in searches may not be re-run if interrupted by a server restart. Your browser remembers what non-logged-in searches are yours by using a local file (cookie). So if you switch browsers, computers, or clear your browser's data, you will lose your non-logged-in searches. User metadata is private. All you need to create an account is an email address. Thank you for understanding.
Here's the place to learn and talk about our data products - both current and future. Data products are primarily available through Data Search (Data Search Help page), as well as the Data Preview page and Hydrophone Viewer tool.
We have also developed public web services / API to access these data products, which can be used to automate data requests from Oceans 3.0. The OpenAPI page is the best way to get started with the API, while our client-side code libraries make integrating the API into your code much easier (they're available via the Quick Start documentation). Once users have developed code or software using the API, they can then deploy it in The Oceans 3.0 Sandbox so that it runs local to the data on our cloud (contact us for more info). The API will also work with any cloud and high performance computing environment such as the Digital Research Alliance of Canada facilities. Running code, making use of the API and cloud options is particularly useful for automated, repetitive analysis and for handling large data sets.
The aim of this documentation is to help our users understand and make use of our data products. It is also useful as a detailed resource about data product specifications. This documentation is maintained as data products are improved and added. User input for new and improved data products is encouraged: you can email us (email@example.com) or press the request support button in the top right corner anywhere in Oceans 3.0.
This documentation is organized around the dataproductid with one page for each (these pages are direct child pages as one can see to the left and in the table below). The dataproductid (used internally) represents each data product group which have a common name, theme, purpose and usually have a number of formats contained within. For example, in the image below, the "Time Series Scalar Data" is the common scalar data product for parsed sensor data, such as temperature, with numerous formats available, each format representing the exact same data, just in a different presentation. Users can find direct links to the data product child pages in the Data Search Data Product Selection page. Simply click on the links that are also the data product headings and names, doing so will open a new tab with the specific data product documentation:
Users can also find links in the Data Search cart, in the Status column:
These links appear for most but not all data products (work in progress). Users can always find the data product specific documentation linked in the table below.
How does it all work? Need a good overall reference?
Please see our Oceans 3.0 article: https://doi.org/10.3389/fmars.2022.806452 This article details the complete data acquisition process, from the deep ocean to the data products users can see, interact with and download.
New Features and Highlights
- See the latest release notes: New Features Release Notes
- ONC Science Hub news stories on Oceans 3.0: check out the latest article here