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The baseline fuel demand and the projected throughput at each port are also provided. Fourteen different trade scenarios are considered and trips shorter than 1000 km are excluded as these will likely be electrified.  The projected fuel demand is given in tonnes of Heavy Fuel Oil.","distributionFormats":[{"name":"Comma-separated values (CSV)","type":"text/csv","version":"unknown"}],"distributorContacts":[{"organisationName":"NERC EDS Environmental Information Data Centre","organisationIdentifier":"https://ror.org/04xw4m193","role":"distributor","email":"info@eidc.ac.uk"}],"funding":[{"funderName":"Natural Environment Research Council","funderIdentifier":"https://ror.org/02b5d8509","awardNumber":"NE/W004976/1","awardURI":"https://gtr.ukri.org/projects?ref=NE/W004976/1","orcid":false,"ror":true}],"id":"f22a6c34-bd82-4fde-911c-16793f2a6752","incomingCitationCount":0,"infoLinks":[{"url":"https://data-package.ceh.ac.uk/sd/f22a6c34-bd82-4fde-911c-16793f2a6752.zip","name":"Supporting information","description":"Supporting information available to assist in re-use of this dataset","function":"information","type":"OTHER"}],"inspireThemes":[{"theme":"Environmental Monitoring Facilities","uri":"http://inspire.ec.europa.eu/theme/ef"}],"keywordsOther":[{"value":"merchant shipping","uri":"http://www.eionet.europa.eu/gemet/concept/11294"},{"value":"fuel","uri":"http://www.eionet.europa.eu/gemet/concept/3505"},{"value":"international trade","uri":"http://www.eionet.europa.eu/gemet/concept/4444"},{"value":"decarbonization"},{"value":"trade projections"}],"licences":[{"value":"This resource is available under the terms of the Open Government Licence","code":"license","uri":"https://eidc.ac.uk/licences/ogl/plain"}],"lineage":"Data are generated by coupling a previously developed Global Maritime Transport Model (OxMarTrans) with a vessel database including fuel consumption. This enables the quantification of present-day fuel demand at ports globally. This is combined with trade projections for 2050 (compared to 2015) which are used to scale fuel demand into the future. The dataset provided is the end-result of this, with fuel demand at the port-level provided for each future trade scenario. Quality assurance is provided by comparing the global fuel demand estimates with other modelling studies, showing that our estimates compare closely with other studies. 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