Workspaces

Directly connect. Save time and computing power. Understand the data faster.

As a researcher or scientist, it can be time consuming and expensive to access the various data available through sources like the World Ocean Database, OBIS and others. As data live in different places you usually need to download them locally.

The Ocean Data Platform’s workspace feature allows you to query, fuse and analyse data all in the cloud, eliminating the obstacles of storage space and computing power.

It is powered by the Jupyter ecosystem and Dask, an open-source library for parallel computing.

Pull the data you need directly into a notebook environment with an output that is easy to read and manipulate.

Benefits

  • An illustration showing data from science and industry all in the same place

    All in one place

    Access the multiple databases of the Ocean Data Platform in one place. No more need to visit and download each of the various sources, saving you time and hassle.

  • An illustration of data coming from a cloud to a laptop

    All in the cloud

    Data can take up a lot of machine memory, especially when working with large sets. Your computer power may not be sufficient or your machine might run slowly. With the Ocean Data Connector, all data lives in the cloud and is manipulated there, saving you precious computing power.

  • An image. of data populating a table

    All ready

    Getting datasets in a human-readable format takes time and energy as they are not standardized across databases. The Ocean Data Connector allows you to access data in a Pandas dataframe with built-in functions, allowing you to start understanding the data faster.

Features

An image of the workspace environment selection area

Our platform supports a variety of hardware configurations, ranging from low-resource environments like a personal laptop, to high-resource environments with options of adding graphical processing units (GPUs) and other specialized hardware. The user is also able to create further compute-resources in the form of clusters – personalized on-demand supercomputers supported by Dask.

Server options that match needs

An image of data selection and map inside a workspace

As the data lives in a geospatial database in the cloud, querying and pulling data is fast and user friendly. You can access large amounts of data in an instant.

Multiple ocean datasets in one place

An image of data tables

The data can be pulled into your notebook environment all in the cloud in an easy to read format. No need to parse through different data formats in order to fuse data.

Data pulled directly into a notebook environment

An image of data rendering inside a workspace

Quick insight into data

With our example notebooks you can easily get an overview of data in some of the largest ocean datasets with our built-in functions.