Enhance Your Expertise

Access a repository of resources tailored for Ocean Digital Twins. Explore technical reports, implementation guides, tool walkthroughs, and step-by-step how-tos designed to support the creation, deployment, and use of Digital Twin technologies.

Kickstart your Digital Twin projects today!

Aquaculture Smart Monitoring

This Digital Twin pilot supports the aquaculture sector through advanced environmental monitoring and risk assessment. Designed to track conditions such as parasites, algal blooms, infections, and pollution, the tool offers a data-driven approach to managing aquaculture sustainably.

You will gain access to: 

• Tools to compare aquaculture site performance across locations and time periods.
• Ability to track and predict environmental and operational trends.
• Support for fish welfare, infection mitigation, and environmental compliance Insight into performance benchmarks.

Review the Aquaculture Smart Monitoring Tool

Aquaculture - Physical/chemical parameters in mussel farming

This marine weather monitoring tool is a comprehensive platform that collects, visualizes, and manages real-time environmental data critical to offshore mussel farming operations. Developed to support mussel farms in Italy, the system integrates sensor data for parameters like current velocity, pressure, temperature, direction, and water level, enabling farmers to monitor nutrient availability and detect stressful events.

You will gain access to: 

• Data feeds on environmental conditions, including water temperature, velocity, and air pressure.
• Interactive map visualization of sensor locations, operational status, and directional data.
• Customizable graphs and dashboards.
• Downloadable datasets for backup, reporting, and insurance claims.
• Early detection of stressful events.

AQUASAFE

AQUASAFE is a real-time operational management tool and platform designed to improve decision-making and efficiency in water-related sectors, including water distribution, wastewater, environmental monitoring, and meteorology. By integrating real-time sensor data, remote detection, and advanced modeling outputs, AQUASAFE transforms complex data into actionable insights. 

You will gain access to: 

• Real-time forecasts and high-resolution simulations. 
• Advanced data analytics that turn complex measurements and model outputs into actionable insights.
• Personalized alarms and alerts that anticipate problems by combining data from multiple sources.
• On-demand scenario simulations, enabling rapid evaluation of management options.

Black Sea Fisheries Digital Twin

The Black Sea Fisheries Digital Twin is a tool developed to support sustainable and economically efficient fishing activities along the northwestern shores of the Black Sea, including Romania, Bulgaria, and Ukraine. This intuitive platform empowers fishermen by providing real-time insights into favorable fishing areas, thereby maximizing their economic efficiency and supporting the management of valuable marine resources.  At its core, the DT implements a Habitat Suitability Index (HSI) to identify the optimal conditions for specific fish species. 

Coastal Crete Data Access via Adamapi

This interactive notebook offers a five-step workflow to accessing Earth Observation data using Adamapi. 

The workflow includes:

• Authenticate with Adamapi
• Select and query EO datasets
• Filter by time and space
• Execute API requests
• Retrieve and visualize results in Python

The notebook also covers basic data visualization using Python libraries in a Jupyter environment.

The Advanced Geospatial Data Management

The Advanced Geospatial Data Management (ADAM) platform is a tool for accessing a wide range of global environmental data.

With the ADAM Platform, you can: 

• Access diverse environmental datasets, including historical data, real-time observations, forecasts, and long-term climate projections.
• Extract data at global or local scales using a web interface or through an API.
• Work with continuously updated data to ensure accuracy and relevance.
• Integrate data into custom applications, from micro-level thematic tools to large-scale AI-powered solutions.
• Share, manage, and reuse data efficiently across various data sources.
• Accelerate data-driven workflows with a fast, flexible, and scalable data-as-a-service architecture.

Data Harmonization Pipelines

The Data Harmonization Pipelines (DPI) are a comprehensive set of tools and interfaces designed to transform diverse data sources into harmonized, interoperable Linked Data. At the heart of this approach is the adoption of Linked Data technologies and knowledge graphs, which enable the integration of data across different domains and systems using common ontologies/vocabularies—such as the Ocean Information Model (OIM). DPI abstracts the complexity of underlying tools and processes, allowing users to launch entire pipelines or specific steps via a simple interface. The harmonized data produced can be accessed through SPARQL queries, OGC APIs, custom APIs, or web-based dashboards, supporting a wide range of applications, from research to decision-making. 

Environmental Monitoring Twin

The Environmental Monitoring Twin is a tool that tackles key challenges in marine environmental monitoring, specifically water quality, pollution, and biodiversity. This pilot employs multi-sensor, multi-platform systems (surface, benthic, and mobile) to gather real-time data on water quality and ecosystem conditions. It integrates this data with high-resolution metocean models and particle transport simulations to analyze the behavior and fate of pollutants, including microplastics. The pilot also tests a new in-situ microplastic sensor developed by LEITAT, evaluating its potential for real-world monitoring. Data visualization is delivered through an interactive Monitoring Twin featuring real-time data, a live camera feed, and dynamic panels that display particle tracking and dilution simulations using tools like SilCam, OpenDrift, and SINTEF DREAM.

Visit the Water Quality and Environmental Twin Trondheimsfjorden

Fisheries DTO

The Digital Twin of Fisheries is a web-based assessment tool built using R scripts and a Shiny App to evaluate the ecological status and sustainability of marine ecosystems through fisheries and community-level indicators.

This tool enables both retrospective assessments and future projections, such as forecasting shifts in fish community composition due to climate change and sea warming, or predicting increases in invasive species. 

GeoMachine: Evolved Tools For Geo-Visualisation

GeoMachine is a WebGIS platform designed to facilitate the interaction, visualization, and interpretation of complex geospatial datasets.

Developed to bridge the gap between technical geographic data and practical application, it provides users with a flexible environment for spatial analysis and data-driven exploration.

A key feature of the system is its customisability. Components are structured as configurable building blocks, enabling the development of general-purpose WebGIS environments and task-specific analytical tools.

Designed with scalability in mind, the platform handles large-scale and near-real-time data from diverse sources, including international institutions and government agencies.

GeoViz

This tool visualises particle simulations in ocean environments in both 2D and 3D, with interactive time controls. By inputting particle propagation data, you can explore how particles move and evolve in marine settings. 

You will gain access to: 

• 2D and 3D visualization of particle propagation in ocean environments.
• Interactive time flow controls to analyze particle movement dynamically.
• Compatibility with NetCDF outputs from OpenDrift. 
• A publicly available codebase to customize for your own datasets and simulations.
• Tools for parsing scientific data into usable visual formats using C#.
•  Unity + Cesium-based visualization, providing a high-fidelity, interactive experience.
• Open-source access with clear licensing for reuse and extension.

 MITE - Maritime Immersive Tools Ecosystem

This tool utilizes virtual choreography technology to create interoperable, immersive visualisations of oil spill scenarios. By enabling consistent visualisation across different platforms with the same source data, this demonstrator ensures that both data and context remain aligned.

 When an oil spill occurs, the system uses a data processing workflow to generate simulation data that captures the spread and impact of the event. The tool then transforms this data into an interactive, immersive experience, allowing users to explore, monitor, and understand the oil spill scenario in real-time.

With the MITE platform you can: 

• Interoperable visualisation of oil spill data across multiple platforms.
• Immersive experience that helps users understand the dynamics of oil spills.
• Integration with real-time data processing workflows for dynamic monitoring.

 Maritime Spatial Planning

Challenge

MSP Challenge is an interactive simulation platform designed to help users understand and manage the complex relationships between human activities at sea, such as offshore energy, shipping, and fishing, and their long-term impact on the marine environment.

With the MSP platform you can: 

• Explore maritime regions using multiple data layers.
• Simulate future scenarios for sea space usage over several decades.
• Visualize the effects of planning decisions through ecological, economic, and spatial indicators.

The platform integrates real-world geospatial, marine, and ecological data with simulation models for shipping, energy, and the environment.

Using elements of game-based learning and virtual reality, it promotes collaborative decision-making and long-term thinking.

NextGEOSS Data Hub

NextGEOSS is Europe’s central data hub for Earth Observation (EO) information. It offers metadata search and discovery across a growing number of geospatial data collections and services in various thematic domains. The platform includes an OpenSearch API to enable machine-to-machine metadata search, as well as catalogue federation capabilities that allow seamless integration of external catalogues.

You Will gain access to: 

• Search and discovery of geospatial metadata from multiple thematic domains.
• OpenSearch API for automated machine-to-machine metadata searches.
• Federated catalogue integration to unify your own data collections within the NextGEOSS interface.

NiMMbus: Dataset Feedback Integration

NiMMbus is a tool that lets users comment on, rate, or ask questions about datasets. The feedback is linked directly to resources using metadata identifiers, helping improve transparency, community collaboration, and trust in data.

It can be embedded into catalogues or web pages using two approaches:

• A lightweight, plug-and-play widget for quick integration.
• A flexible JavaScript API for advanced, customized usage.

Ocean Best Practices

The Ocean Best Practices System (OBPS) is a global initiative designed to improve and standardize ocean data collection, analysis, and sharing. It supports high-quality, interoperable, and collaborative ocean science by promoting the use of common standards and best practices. 

You will gain access to:  

• A searchable repository of  documented ocean practices.
• A peer-reviewed journal section.
• Training materials, including tutorials and guides.
• Task teams focused on specific thematic goals.

Oceancast Platform

Oceancast is a real-time monitoring and decision-support system designed to address the modern challenges of coastal zone management. It integrates marine and atmospheric data from international sources (such as Copernicus, EMODnet, and NOAA), deployes local sensors, and uses scientific models. The platforms insights are made available both to citizens and to coastal management authorities in the North Aegean region. The platform helps tackle critical issues like coastal erosion, eutrophication, extreme storms, and marine safety, as well as support for sustainable tourism and the upcoming operation of seaplanes. 

You will gain access to:  

• Visualization tools to interpret environmental conditions affecting coastal areas.
• Statistical indicators that support decision-making for coastal zone management.

Ocean Data Platform

The Ocean Data Platform (ODP), developed by HUB Ocean, is a cloud-based environment designed for the processing, storage, and access of ocean-related data. ODP includes a rich public data catalog, private data storage with fine-grained access controls, powerful APIs, and two dedicated storage systems for both structured (tabular/geospatial) and unstructured (raw) data. 

You will gain access to:  

• Access to a searchable public data catalog.
• API-based access to retrieve, query, and filter both public and private datasets.
• Extensive documentation and webinars to support new users and DTO developers.
• A scalable, secure environment for collaboration and marine data innovation.

OceanLab Twin: Environmental Monitoring

This resource comprehensively introduces building and applying digital ocean twins using real-world data and cutting-edge marine technology.

Centered around the OceanLab infrastructure in Trondheim fjord, this documentation guides through accessing sensor data, visualizing ocean phenomena, and developing predictive models for environmental monitoring, pollution tracking, and ecosystem management.

By engaging with this tool, you will learn how to:

• Access and interpret multi‐source sensor data (oceanographic, meteorological, noise, methane, and plastic concentrations).
• Integrate high‐resolution operational models and 800 m reanalysis products to drive a continuously updated digital twin of the fjord. 
• Design and implement DTO‐based environmental monitoring workflows.
• Develop pollution‐tracking applications, uch as noise mapping, methane plume detection, and marine litter backtracking, using both observed data and “what‐if” scenario simulations. 
• Apply DTO‐guided strategies for biomass assessment and water‐quality analysis. 

OIM: Ocean Information Model

The Ocean Information Model (OIM) is a modular, standardized vocabulary and data framework designed to foster seamless interoperability among different ocean data systems and platforms. By creating a common language for ocean data, OIM empowers data producers, integrators, and service providers to pre-process, integrate, and harmonize data from diverse sources and deliver interoperable services. 

OIM Transformer

This tool offers a suite of Python scripts designed to transform Meduzot export files into the specific format required for integration into the OIM (Ocean Integration Model) chain. It streamlines the preparation of pilot data, ensuring compatibility with the OIM’s processing requirements, so that data from diverse sources can be seamlessly incorporated into broader ocean modeling and analysis workflows.

By engaging with this tool, you will gain access to: 

• A ready-to-use set of Python scripts for preprocessing Meduzot data.
• Automated transformation of export files into the OIM-compatible format.
• Improved efficiency in preparing pilot data for integration.

Procedural Ocean

Procedural Ocean is a visualization tool that generates 3D environments of offshore wind farms using the Unreal or Unity game engines. It is designed to support maritime spatial planning by helping policymakers, planners, and stakeholders better understand the visual and environmental impact of offshore infrastructure.

You will gain access to: 

• 3D simulations of offshore wind farms generated automatically.
• Low-effort generation of environments using input parameters in JSON format.
• Enhanced stakeholder communication with visually engaging representations.
• Insight into spatial, environmental, and policy impacts of offshore development.

PyOPIA: Python Ocean Particle Image Analysis

PyOPIA (Python Ocean Particle Image Analysis) offers a standardized, pipeline-based workflow for analyzing ocean particle imagery. This documentation guides users through each workflow step, from data preprocessing to final output generation, helping researchers work efficiently with images collected from oceanographic instruments.

PyOPIA includes customizable components to accommodate instrument-specific processing requirements, such as holographic reconstruction. The final results are stored in a structured HDF5 format, enriched with metadata that ensures full traceability and aligns with FAIR data principles (Findable, Accessible, Interoperable, and Reusable).

By using this resource, you will learn how to:

• Apply PyOPIA’s modular workflow to particle image datasets.
• Customize analysis steps to suit different imaging systems.
• Generate standardized, metadata-rich outputs for reproducible research.
• Enhance data management through adherence to FAIR principles.

RAMANI Analytics

Ramani is a freely accessible online platform and a data repository and analysis tool designed for exploring, visualizing, and downloading climate, land, and ocean-related datasets. With access to over 300 datasets and 100+ built-in algorithms provided as Functions-as-a-Service (FaaS), you can perform sophisticated analyses directly from a standard web browser without installing specialized software. 

By using this resource, you will gain:

• Free access to hundreds of high-quality environmental datasets.
• Built-in analytical tools for data processing and scientific analysis using Python.
• Visualization and animation capabilities for maps, models, and trends.
• Flexible data export options, including formats suitable for GIS applications.
• Integration-ready outputs for mobile apps through Android and iOS Maps-API.

Sediment Transport Pilot

This pilot focuses on understanding sediment transport dynamics in the eastern Gulf of Riga, Baltic Sea. By deploying a network of nine fixed sensors (in a 3x3 grid) near Skulte, the project provides high-resolution, in-situ measurements of velocity, direction, and depth, all captured 0.4 meters above the seabed. The dataset is space-time-aligned, enabling precise analysis of sediment movement and wave patterns. This dataset underpins sediment transport modeling and supports engineering efforts to optimize port structures, minimize maintenance costs, and enhance coastal infrastructure resilience.

 You will gain access to: 

• Continuous velocity, direction, and depth measurements in a 3x3 sensor grid.
•  High-resolution data from the eastern Gulf of Riga, essential for sediment transport modeling.
• Reliable instrumentation, including Hall effect-based Hydromast velocity profilers (validated with ADV).
• Data suitable for space-time-aligned analysis of wave patterns and sediment movement.

SemFlow: Knowledge Mapping Platform

SemFlow is an interactive web-based tool designed to support the exploration and mapping of knowledge systems. Whether dealing with facts, skills, or experiential insights, SemFlow helps users visualize how knowledge is structured, connected, and generated.

Drawing from fields like epistemology, SemFlow offers an intuitive platform for capturing relationships between concepts, sources, and learning processes.

It's especially useful for researchers, educators, and students aiming to:

• Understand complex information flows.
• Trace the origins and interconnections of knowledge.
• Collaboratively build semantic models and learning structures.

Virtual Twin of Coral Reef

The Virtual Coral Reef is an immersive simulation of a coral reef ecosystem in the Indo-Pacific. Designed to raise awareness about the alarming decline of coral reefs, the simulation uses real-time scientific data to recreate reef environments and allow users to explore the delicate balance of marine life.

You will gain from this resource:

• An immersive exploration of coral reef ecosystems using virtual reality.
• Interactive simulations with adjustable scientific parameters to observe cause-and-effect relationships.
• A realistic diver experience through a first-person avatar using a head-mounted display.
• Educational engagement suitable for outreach, teaching, and environmental literacy initiatives.

VISTools Documentation

The VISTools Documentation supports the understanding of how Digital Twins of the Ocean (DTOs) can transform the fisheries sector. Through the VISTools documentation, users gain the skills to design, build, and deploy your digital twin system, from vessel data collection to decision-support tools.

By using VISTools you will: 

• Understand how to engage with stakeholders and foster trust within fishing communities.
• Learn about sensor technologies and how to install and manage them on fishing vessels.
• Explore data transfer systems for collecting information in real time.
• Work with PowerBI dashboards to visualize data clearly and effectively.

Windmill External Damage Dataset

The Windmill Damage Dataset is developed to advance research in infrastructure inspection and renewable energy maintenance. This curated collection of annotated images showcases visible external damage to wind turbine blades. It is designed to support the development and evaluation of computer vision models for automated damage detection. 

This resource is particularly valuable for researchers and engineers developing UAV-based monitoring, predictive maintenance systems, and AI applications in the renewable energy sector. It provides a solid foundation for building scalable, reliable systems to detect and classify turbine damage in dynamic, real-world environments.

You will gain access to: 

• A diverse set of annotated images of wind turbine blade damage (cracks, erosion, delamination, etc.).
• Support for developing and benchmarking computer vision models in automated inspection.
•  Annotations designed for supervised learning, accelerating model training and evaluation.

Innovative Tools and Applications for a Sustainable Blue Economy: 

Iliad Summer School 2023 

Innovative Tools and Applications for a Sustainable Blue Economy is a comprehensive, hands-on course focused on developing and applying digital twin technologies for ocean science, policy, and industry. The course involves experts in oceanography, data science, climate research, and maritime innovation. The course was developed as part of the Iliad Academy Summer School 2023. 

 Key topic areas covered: 

•  Data acquisition, processing, and management: Learn about the data life cycle, the different types of data that go into a digital twin of the ocean, and how to make them interoperable.
• Numerical modeling: Ocean modeling with heterogeneous data, diverse tools for ocean data modeling.  
• The tools needed to create a digital twin of the ocean: Introduction to some of the frequently used tools along the value chain of digital twins of the ocean. 
• OGC standards, Python, Docker, and others. ICT technology (use of platforms, AI, Machine learning): Iliad uses a variety of platforms, including NextGEOSS, Global Ocean Platform, and GeoMachine.