Entering private preview!
HUB Ocean celebrates a very special occasion. We are moving into private preview with four new products in the Ocean Data Platform.
We know more about planet Mars than the depths of our ocean. With 80% of the ocean still unmapped and unexplored, advanced sensor platforms and digital technologies may soon reveal the secrets of its abysses. Digital ocean twins have become a buzzword, and HUB Ocean is leading the charge with its groundbreaking Ocean Data Platform (ODP).
“After three years of designing, building, and testing the Ocean Data Platform, we are excited to invite our partners and community members to experience what we have been working on, “said Kimberly Mathisen, CEO of HUB Ocean.
On June 27th, HUB Ocean moves into private preview period with four new products for the ODP. The target audience at this stage will mainly be data scientists and scientists, although the platform also provides several capabilities for “non-technical” users.
The Ocean Data Platform
The Ocean Data Platform is a powerful solution connecting and combining relevant data sources into a comprehensive digital ocean ecosystem. The ambition for the Platform is to become the world’s ocean data collaboration hub, driving data-smart decision-making for ocean health and productivity. Data scientists and ocean scientists can derive new insights from vast amounts of data from science, industry, governments, and citizens.
“The Ocean Data Platform benefits from significant storage and processing power in the cloud. It leverages parallel computing and cloud-native geospatial standards, making it possible to work efficiently with billions of data points directly from your web browser. There is an ongoing data revolution, and we need to transform ocean data into knowledge and action, and ultimately sustainable ocean management worldwide, ” said Mathisen.
Four new products
HUB Ocean has created The Ocean Data Connector: a unique cloud-based data science environment that allows you to query, fuse and analyze vast amounts of ocean data, eliminating the obstacles of storage space and computing power.
It integrates with Python, the most widely used data science programming language in the world today. Python has a significant user community with over 10 million users worldwide and more than 200,000 open-source analytics/visualization packages ready to use. One can use relatively new cloud-native geospatial technologies (cloud-optimized GeoTIFF, SpatioTemporal Asset Catalog, ZARR, XArray, Cognite Data Fusion and more) to do queries and scientific visualizations significantly faster.
We have also developed a few other exciting features and products you will get to explore:
We have built data integration pipelines with the most popular oceanographic data sets, increased compute speed for accessing existing data sets, and developed a few other exciting features and products you will get to explore:
Our Ocean Data Catalog and Ocean Data Explorer allow you to search, discover and visualize data sets in different ocean basins filtered on data types, time and depth. For some of the most popular marine datasets (World Ocean Database, Ocean Biodiversity Information System, EMODNet Human Activities, GEBCO Bathymetry and more), we have built fast data integration pipelines which will automatically make the original datasets readily available for processing in the cloud.
We also have deployed demonstrators and solutions for aquaculture and the shipping sector.
Marine Aquaculture: A web service developed with The Norwegian Seafood Federation to share Salmon lice data from over 1000 production locations to monitor temperature, preventative measures and treatments to help control salmon lice populations. 200+ active users currently use the solution.
Shipping and Ports: Track or forecast estimated greenhouse gas emissions from individual vessels, fleets of vessels or the entire global fleet based upon big data analytics of AIS data and vessel particulars according to recognized methodologies recommended by the International Maritime Organization. With these new datasets, you can get insight into the hourly estimated GHG-emissions per ship close to real-time and aggregated emission data down to ~500x500 meter grids.
Easily accessible answers
The datasets can provide corporations with easily accessible answers to concepts like “green corridors” (specific trade routes between major port hubs where zero-emission solutions are supported and demonstrated) and “blue corridors” (critical ocean habitats for migratory marine species). These answers surface as potential solutions to enable the early adoption of alternative fuels and to conserve vulnerable ocean areas.
“Together with our partners, we work continuously to unlock more data from science and several industry verticals. As we advance, we will make this available both in advanced analytics environments and easy-to-use web applications and dashboards. Together we are building a digital ecosystem for the ocean which makes diverse ocean datasets available and translates that data into actionable information for decision-makers,” —Mogens L. Mathiesen, Head of Lighthouses in HUB Ocean.
“In our first private preview, we have invited more than 100 scientists, oceanographers and data scientists among our partners and friends. We look forward to demonstrating new ways of analyzing, modelling, or visualizing data. We are also looking forward to getting feedback on some of the self-service capabilities on the platform, be it bringing in data or developing machine learning algorithms, leveraging our Software Development Kits (SDKs) or rapid prototyping environment. Most of what we do is published as open-source, and now we look forward to building a strong ocean data community, — Jo Øvstaas, Head of Platform in HUB Ocean.