A research and data hub that connects international stakeholders to structured data, analytics and sustainability insights on the Brazilian port sector. It brings together cargo dashboards (ANTAQ 2010 to 2024), the SDG Port Hub, the CO₂ calculator, AI tools and a curated set of publications.
Open the platform and select a project to reach the dashboards, tools and official ANTAQ data portals, or browse the publications collection.
Port authorities, investors, maritime organisations and researchers needing reliable Brazilian port intelligence.
Centralises official data, analytical tools and literature in one place, replacing fragmented sources.
An IMO-based analytics platform for Brazilian ports covering 30,972 port calls and 8,505 unique vessels (2019 to 2025) at Itaguaí, Itaqui and Paranaguá, expanding to the top 20 ports. Five modules: fleet profile, vessel search with port-by-port comparison, port-call analytics, at-berth CO₂ with OPS-avoidable emissions and EU ETS exposure, and data quality. Validated against verified EU MRV data.
Browse the modules or search any vessel by name or IMO number to see its calls, size, efficiency grade and estimated at-berth emissions across ports.
Port authorities, terminal operators, investors and researchers in maritime decarbonisation.
The only public source of harmonised vessel-level port-call and emissions data for Brazilian ports.
First fleet-scale analysis of the new greenhouse-gas fields in the EU MRV 2024 dataset: verified CH₄ and N₂O emissions of 14,115 vessels. It shows that 355 LNG carriers emit 62.6% of all verified methane (the methane-slip signature) and that, fleet-wide, N₂O adds more warming than CH₄.
Read the headline findings, explore the charts by ship type and consult the full breakdown table with the at-berth component.
Climate policy analysts, maritime researchers and journalists covering LNG and shipping decarbonisation.
Turns a 113-column regulatory dataset into the answer to one question: what does CO₂-only accounting miss?
Interactive comparison of annual vessel arrivals at 15 major European ports by ship type and size class, built on official Eurostat statistics (2019 to present, closed calendar years). Select any set of ports and compare fleet mix, size profile and traffic evolution.
Pick ports with the chips or the ranking table, filter by ship type and switch between arrivals and gross tonnage.
Port planners, maritime economists and researchers benchmarking European port profiles.
Replaces manual extraction from the Eurostat database with a one-click, always-updatable comparison.
Ranks 3,303 shipping companies by their EU ETS carbon cost, built on the verified EU MRV 2024 dataset (12,610 ships, 87.3 Mt of ETS-scoped CO₂). At the reference price of €80 per allowance, the maritime ETS bill reaches €6.99 billion a year, with the top 10 companies carrying 21.5% and MSC alone facing about €427 million.
Read the headline figures and the top-20 chart, then consult the full ranking table of the top 25 DoC holders by ETS-scoped CO₂ and annual cost.
Shipping companies, maritime economists, policy analysts and researchers on EU ETS exposure.
Converts the EU MRV dataset into a company-level carbon-cost ranking, answering who actually pays for shipping's carbon.
Uses Copernicus Sentinel-5P satellite data (2024 annual mean) to map NO₂ enhancement over 17 European ports and shipping lanes. The Strait of Gibraltar lane shows +53.5% more NO₂ than the surrounding sea with no city in sight, Algeciras reaches +59.6% among non-metropolitan ports, and metropolitan Piraeus climbs to +232%.
Read the headline and the enhancement chart (green for ports away from cities, amber for metropolitan, blue for open-sea lanes), then consult the full table of port versus regional background.
Air-quality and climate researchers, port environmental teams and policy analysts.
Gives an independent, space-based check on activity-based ship emission estimates, showing maritime combustion directly from orbit.
Traces three decades of the "fewer ships, bigger ships" trend in European ports using official Eurostat data (mar_tf_qm). Across the EU-27, average container-ship size per call rose 2.3 times (16,892 to 38,575 GT) while arrivals fell 19%, and some ports grew far more, such as Gdansk at 11.8 times.
Select any ports and ship type to compare average vessel size per call, arrivals and growth multiples, then read the thirty-year ledger table.
Port planners, maritime economists and researchers studying fleet consolidation and port capacity.
Turns decades of Eurostat port statistics into an interactive view of vessel upsizing, one of the sector's defining structural trends.
A sustainability assessment framework for ports covering 84 indicators across 8 SDGs and 20 thematic areas, on a 0 to 3 scoring scale. It is based on Cunha et al. (2025), Marine Policy.
Consult the indicators reference to understand each criterion, then use the linked simulation tool to score a port.
Port sustainability managers, researchers and auditors assessing SDG performance.
Offers a ready, peer-reviewed framework, removing the need to design an assessment model from scratch.
The interactive companion to the framework. Score each indicator from 1 to 4 and the tool returns an overall sustainability score and a performance level, in English or Portuguese.
Select a score for every indicator; hover a score to see its criteria. The overall score and performance band update automatically.
Port managers and analysts benchmarking and reporting sustainability performance.
Turns the framework into an instant self-assessment, supporting reporting and gap analysis.
An interactive simulator of the Municipal Sustainability Index (ISM) for municipalities in Maranhão, Brazil, across SDGs 7, 11, 13, 14 and 17. Portuguese interface.
Adjust each indicator level and watch the simulated impact on the ISM, including which funding calls it would unlock.
Municipal managers, policy analysts and researchers on local SDG progress.
Shows in real time how indicator improvements change the index, supporting evidence based planning.
A computer-vision assistant that classifies port and marine waste into six categories from a single photo, delivered through a live Telegram bot. It grew out of an Omdena AI project on the Ganges river and is in active development.
Open @blueport_ia_wastebot on Telegram, send a photo of the waste, and receive the category, a confidence score and disposal guidance in seconds.
Port environmental teams, dock workers and computer-vision researchers.
Puts instant, no-training waste classification in any worker's hands, with logs that support compliance reporting.
A dashboard that estimates port CO₂ emissions from auxiliary engines at berth (OPS), with annual totals, monthly distribution and carbon intensity. The method is fuel consumption multiplied by emission factor, with data for 2022 to 2024. Portuguese interface.
Browse the dashboard by year to read the totals, the monthly charts and the carbon intensity at berth.
Port operators, sustainability officers and researchers in decarbonisation.
Presents emissions and intensity ready for reporting, without building a spreadsheet model.
Calculates CO₂ emissions for liquid bulk vessels' auxiliary engines during the port stay, following IMO methodology (Fourth IMO GHG Study 2020, MEPC.282(70), MEPC.391(81)), with a carbon-credit reference value.
Enter the vessel data, cargo type and berthing and unberthing times, and the tool returns the emissions estimate.
Terminal planners, emissions analysts and researchers on maritime decarbonisation.
Produces a standards based estimate per port call, supporting disclosure and carbon-credit assessment.
A seven-day navigability forecast for São Marcos Bay (São Luís, Brazil) with a traffic-light status per period, based on configurable thresholds for wind, wave, rain and visibility. Live data from Open-Meteo.
Open the page and read the go, caution or no-go status for each morning, afternoon and night.
Vessel operators, pilots and maritime risk researchers.
Converts live weather into a clear go or no-go signal. It supports decisions but does not replace official Navy bulletins.
Finds the leading researchers in any field. It searches paper titles and abstracts through OpenAlex, detects the dominant topics, and ranks authors by a balance of subject relevance and scholarly impact (h-index).
Type a keyword or topic and the tool returns a ranked list of experts. Suggested searches are provided as a starting point.
Researchers, PhD students and research managers scoping a field or seeking experts.
Identifies the key authors in a topic in seconds, replacing slow manual literature scanning.
Finds new potential collaborators aligned with an ORCID profile. Matching uses topic-vector (cosine) similarity over the profile's OpenAlex topics, and existing co-authors are excluded so the results are genuinely new contacts.
Enter any ORCID iD and review the aligned researchers the tool proposes.
Researchers and groups looking to expand their collaboration network for proposals and studies.
Surfaces fresh, relevant collaborators automatically, saving hours of manual networking.
Turns a set of PDFs into a word co-occurrence network for VOSviewer Online, detecting the most frequent terms automatically. Text is extracted entirely in the browser, with Portuguese and English stopwords removed and nothing sent to a server.
Upload the PDFs, set the network parameters (minimum frequency, co-occurrence and maximum terms), and download the JSON. Then open it at VOSviewer Online (web.vosviewer.com) to generate the visualisation.
Researchers running bibliometric or literature reviews and text mining.
Automates the creation of co-occurrence maps from raw PDFs, a task that is slow and error prone by hand.
A directed text-mining tool with a controlled vocabulary. You define the keywords and the app counts their occurrences and co-occurrences across your PDFs, with grouped synonyms, compound terms, wildcards and thematic categories, then generates a JSON file for VOSviewer Online. It complements PDF → VOSviewer Network, which detects terms automatically.
Upload the PDFs and list your keywords (group synonyms with "=", use "*" for variants and "[ ]" for categories, or load a domain pack). Set the network parameters and download the JSON, then open it at VOSviewer Online (web.vosviewer.com) to generate the visualisation.
Researchers running directed bibliometric or content analysis with a predefined thesaurus.
Measures exactly the concepts the study cares about and maps them, without manual counting.