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This dataset was prepared within the COMPLETE project (Completing management options in the Baltic Sea Region to reduce risk of invasive species introduction by shipping, 2017-2021), funded by the EU Interreg Baltic Sea Region Programme, includes partner institutions from Estonia, Finland, Germany, Latvia, Lithuania, Poland, and Sweden, as well as HELCOM (https://www.balticcomplete.com/). The dataset includes only cleaning companies, which offer capture and filtration of the cleaning waste according the COMPLETE project recommendations. The administrations of the ports have to be contacted to check if cleaning is permitted and what requirements for a cleaning have to be fulfilled. There is included data layer of effective, environmentally sustainable, and appropriate antifouling systems for ships and boats operating in the Baltic Sea and summary of aspects concerning IWC of commercial ships and leisure boats. All information is without guarantee. We endeavour to ensure that the information presented here is complete, but despite regular follow-up checks and research, we cannot guarantee it. If a company is not listed, you can contact us any time and we will check whether it is included in the database and in the map. Our contacts: firstname.lastname@example.org; email@example.com
The dataset contains data on bridges and other constructions. The dataset is constructed from Open Street Map “roads” shapefiles downloaded through Geofabrik by extracting all features where attribute bridges=1. It should be noted that the dataset contains major bridges and all other smaller constructions that have been classified as bridges in Open Street Map. The coverage for the dataset is whole Baltic.
This dataset represents the density of all IMO registered ships operating in the Baltic Sea. Shipping density is defined as the number of ships crossing a 1 x 1km grid cell. Density maps are annual and created for the time period 2006-2020 per all ship types and by IMO ship category. HELCOM Map and Data service contains maps of 2020 and 2019 shipping density per ship type and total annual shipping density from 2006-2020. Downloadable resource zip file contains all maps from 2006-2020 including both ship type specific densities and total densities. Raw AIS data used for creating the density maps is based on HELCOM AIS (Automatic Identification System) data. The HELCOM AIS network hosts all the AIS signals received by the Baltic Sea States since 2005. The AIS Explorer allows to compare density maps of different ship types per month: https://maps.helcom.fi/website/AISexplorer/ The data was processed to produce density maps and traffic statistics. All scripts are available in GitHub: https://github.com/helcomsecretariat. The production of these maps have been carried out by HELCOM Secretariat for repeated times and supported by several project. During 2016-2017, the work was supported through the HELCOM project on the assessment of maritime activities in the Baltic Sea. The underlying AIS data processing work has been co-financed by EU projects Baltic Scope (2015-2017 EASME/EMFF/2014/188.8.131.52) and Baltic Lines (2016-2019, Interreg Baltic Sea Region). In addition, the Ministry of the Environment of Finland supported the work with a special contribution in view of the use of the results in the HOLAS II process.
The shipping density map highlights the intensity of all IMO registered ships operating in the Baltic Sea. It is based on the HELCOM AIS (Automatic Identification System) data. The HELCOM AIS dataset contains all the AIS signals received by the Baltic Sea States since 2005. The data was pre-processed by the HELCOM Secretariat (under the Baltic SCOPE project) in order to have a dataset that could be used to generate products such as density maps and traffic statistics.
This is a dataset of designated places of refuge reported by HELCOM member countries by year 2011.
Digitized from Mariners’ Routeing Guide Baltic Sea ISBN 978-3-89871-771-7 (http://www.helcom.dk/map/). The line features are divided in categories, indicated by the the ZONE_TYPE attribute: 0 - Deep water route areas; 1 - Deep water route center line; 4 - Recommended route center; 6 - Traffic separation line; and 7 - Traffic separation scheme.
This dataset includes digitized deep-water route, traffic separation schemes, precautionary areas and inshore traffic zones in the Baltic Sea as defined in the 9th edition of the Ships Routing Guide (2008) of the International Maritime Organization. It was updated in 2017. The update includes information about new traffic separation schemes and deep-water routes, amendments to the existing traffic separation schemes and establishment of new two-way routes which are not included in the original 2008 routeing guide, but were adopted by the 54th, 55th, 57th, and 58th session of the Sub-Committee on the Safety of Navigation of the IMO, and 3rd session of IMO's Sub-Committee Meeting on the Navigation, Communications, Search and Rescue.
This dataset contains the commercial Ports of Baltic Sea. The dataset was created in 2016 to be used in HELCOM Assessments. Attribute specification and units port: Name of the port Country: Name of the country LOCodes: the United Nations Code for Trade and Transport Locations
This is a dataset of places of refuge areas reported by HELCOM member countries by year 2011. For Finland, Sweden, Germany and Poland coastline can be used as a place of refuge if decided. These places of refuge areas on the coastline were formed by creating 10 km buffer from the coastline.
This dataset depicts NOx-emissions from ship traffic in the Baltic Sea for the year 2010. NOx-emissions are modelled by Finnish Meterological Institute (FMI) based on AIS traffic data. Detailed information about the calculation methods can be found in: J.-P. Jalkanen, A. Brink, J. Kalli, H. Pettersson, J. Kukkonen, and T. Stipa: A modelling system for the exhaust emissions of marine traffic and its application in the Baltic Sea area, Atmos. Chem. Phys., 9 (2009) 9209-9223. J.-P. Jalkanen, L. Johansson, J. Kukkonen, A. Brink, J. Kalli, and T. Stipa: Extension of an assessment model of ship traffic exhaust emissions for particulate matter and carbon monoxide, Atmos. Chem. Phys. Discuss., 11 (2011) 22129-22172.