This dataset contains the ship accidents in the Baltic Sea during the period 1989 to end of 2023. It is constructed from the annual data collected by HELCOM Contracting Parties on ship accidents in the Baltic Sea and starting from 2019 from EMSA EMCIP Database extraction (for those Contracting Parties that are member of the EU). The accident data has been compiled by the HELCOM Secretariat and EMSA. According to the decision of the HELCOM SEA 2/2001 shipping accident data compilation will include only so-called conventional ships according to the Regulation 5, Annex I of MARPOL 73/78 - any oil tanker of 150 GT and above and any other ships of 400 GT and above which are engaged in voyages to ports or offshore terminals under the jurisdiction of other Parties to the Convention. According to the agreed procedure all accidents (including but not limited to grounding, collision with other vessel or contact with fixed structures (offshore installations, wrecks, etc.), disabled vessel (e.g. machinery and/or structure failure), fire, explosions, etc.), which took place in territorial seas or EEZ of the Contracting Party irrespectively if there was pollution or not, are reported. The dataset contains the following information: Unique_ID = An unique identifier consisting of 4 digit running number and the year of the accident Country Year Date = Date (dd/mm/yyyy) Time = Time of the accident (hh:mm) Location = Location of the accident (open sea / port / port approach, from 2019 -> open sea / port) Acc_Type = Type of accident Colli_Type = Type of collision / contact (with vessel / object) Acc_Detail = More information on the accident CauseDetai = Details on the accident cause Assistance = Assistance after the accident Offence = Offence against Rule Damage = Damage to the ship HumanEleme = Occurrence / Reason of human error IceCondit = Ice conditions CrewIceTra = Crew trained for ice conditions Pollution = Pollution (Yes/No) Pollu_m3 = Pollution in m3 Pollu_t = Pollution in tonnes Pollu_Type = Type of pollution RespAction = Response actions after the accident Cargo_Type = Type of cargo Ship1_Name = Ship 1 identification (Not published after 2018) Sh1_Categ = Ship 1 type (according to AIS category) Sh1_Type = Ship 1 more detail ship type category Sh1_Hull = Ship 1 hull construction Sh1Size_gt = Ship 1 GT Sh1Sizedwt = Ship 1 DWT Sh1Draug_m = Ship 1 draught in meters / category Cause_Sh1 = Cause of accidents from ship 1 Pilot_Sh1 = Presence of pilot on ship 1 Ship2_Name = Ship 2 identification (Not published after 2018) Sh2_Categ = Ship 2 type (according to AIS category) Sh2_Type = Ship 2 more detail ship type category Sh2_Hull = Ship 2 hull construction Sh2Size_gt = Ship 2 GT Sh2Sizedwt = Ship 2 DWT Sh2Draug_m = Ship 2 draught in meters / category Cause_Sh2 = Cause of accidents from ship 2 Pilot_Sh2 = Presence of pilot on ship 2 Add_Info = Additional information Latitude = Latitude (decimal degrees) Longitude = Longitude (decimal degrees) For more information about shipping accidents in the Baltic Sea, see the HELCOM annual reports: https://helcom.fi/helcom-at-work/publications/ https://helcom.fi/media/publications/HELCOM-report-on-Shipping-accidents-in-the-Baltic-Sea-2019-211207-FINAL.pdf

The pressure oil slicks and spills is combination of following datasets: • Illegal oil discharges • Polluting ship accidents Illegal oil discharge data is based on airborne surveillance with remote sensing equipment in the Baltic Sea Area. The area of the detected spills in 2011–2016 was used to represent the pressure. The value of spills under 1km2 were directly given to grid cell, spills over 1km2 were buffered based on estimate spill area. For polluting ship accidents the reported oil spill volumes (m3) in years 2011-2015 were used for the pressure. Some polluting ship accidents spills were missing spilled oil volume, thus a mean of reported volumes was given to accidents with missing oil volume. Datasets were handled separately. Both layers were normalized, summed and normalized again to produce the “oil slicks and spills” pressure layer. Please see below for further details.

Information on the number of ships equipped with Automatic Identification Systems (AIS) crossing specific passage lines in the Baltic Sea during one year period. Years included in the attribute table are 2006 to 2020 (included). For visualisation in the map service, total amount of passage line crossings during 2020 is used. Description of the attribute table field headings: Location= name of the AIS crossing line Cargo_XXXX = Year XXXX cargo ship crossings Passg_XXXX = Year XXXX passenger ship crossings Tankr_XXXX = Year XXXX tanker ship crossings Other_XXXX = Year XXXX other ship crossings Data is available for the following passage lines (rows in attribute table): Bothnian Sea, Drogden, East of Gotland, Gulf of Finland, Irbe Strait, Kadet Fairway, Langeland East, North of Bornholm, Skaw, South of Bornholm, The Great Belt East Bridge, West of Gotland, Åland East and Åland West. For more information about shipping traffic in the Baltic Sea, see http://www.helcom.fi/Lists/Publications/BSEP152.pdf

Polluting ship accidents is based on reporting of shipping accidents done by HELCOM Contracting Parties to produce annual within HELCOM MARITIME group. Data was available for 2011-2013

The pressure oil slicks and spills is combination of following datasets: Illegal oil discharges (2016-2021): Value of spills (VOLUME) under OR EQUAL 1km2 was directly given to grid cell. If the spill area > 1km2, a buffer with the area was added (circular buffer based on estimated radius) and the estimated volume of the spill was divided by the spill area to get the estimated amount of oil / km2. This value was given to the entire spill area. If oil spill volume was missing, mean of values was given. If area of spill was missing (103/560), mean of values was given. If the spill was < or = 1km2, the value of spill volume was given directly to 1km2 grid cell. If the spill area was > 1km2, the estimated volume of the spill was divided by the spill area to get the estimated amount of oil / km2. This value was given to the entire spill area. Layer was log transformed and normalized. Polluting ship accidents (2016-2020): Point, spill volume (m3) converted directly to 1 x 1 km grid A mean of reported volumes was given to accidents with missing oil volume. Spill volume in m3 was given directly to 1km2 grid cell. Layer was log transformed and normalized. Layers were separately normalised. After that, layers were summed and again normalised to produce the final pressure value between 0 and 1.

Polluting ship accidents is based on reporting of shipping accidents done by HELCOM Contracting Parties to produce annual within HELCOM MARITIME group. Data were available for 2016-2020. Attribute specifications and units Country Year Date__dd_m: Date (dd.mm.yyyy) Time__hh_m: Time (hh:mm) Latitude: Latitude (decimal degrees) Longitude: Longitude (decimal degrees) Location Ship_1_nam: Ship 1 name, flag Sh1_Categ: Ship 1 type (according to AIS category) Sh1_Type: Details of ship 1 type Sh1_Hull: Hull type (ship 1) Sh1Size_gt: Size (gt) (ship 1) Sh1Sezidwt: Size (dwt) (ship 1) Sh1Draug_m: Draught (m) (ship 1) Ship2_Name: Ship 2 name, flag Sh2_Categ: Shiptype 2 (according to AIS category) Sh2_Type: Details of ship 2 type Sh2_Hull: Hull type (ship 2) Sh1Size_gt: Size (gt) (ship 2) Sh2Sizedwt: Size (dwt) (ship 2) Sh2Draug_m: Draught (m) (ship 2) Cargo_Type Acc_Type Colli_Type Acc_Detail Cause_Sh1 Cause_Sh2 HumanEleme IceCondit CrewIceTra CauseDetail Pilot_Sh1 Pilot_Sh2 Offence Damage Assistance Pollution Pollu_m3 Pollut_t Pollu_Type RespAction Add_Info version F44 original_a original_l original_s original_c