The CCM2 database covers the entire European continent, including the Atlantic islands, Iceland and Turkey. It includes a hierarchical set of river segments and catchments based on the Strahler order, a lake layer and structured hydrological feature codes based on the Pfafstetter system. This dataset is a subset of Catchment Characterisation and Modelling (CCM) data version 2.1 provided by EU Joint Research Centre (JRC). The CCM2 database covers the entire European continent, including the Atlantic islands, Iceland and Turkey. It includes a hierarchical set of river segments and catchments based on the Strahler order, a lake layer and structured hydrological feature codes based on the Pfafstetter system. For further details, see http://ccm.jrc.ec.europa.eu/php/index.php?action=view=23 The river data contained in CCM2 Geodatabase table MAINRIVERS was clipped with Baltic Sea catchment area (extracted from table Seaoutleats) and erased by table LAKES with ETGeowizards "Erase" tool by HELCOM secretariat. Copyright Statement: The proprietary rights and copyright of the CCM River and Catchment data remain with the European Commission, Joint Research Centre (JRC). Reproduction for non-commercial purposes is authorised, provided the source is acknowledged. Commercial use is not permitted without prior written consent of the JRC. Reports, articles, papers, scientific and non-scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: CCM River and Catchment Database © European Commission - JRC, 2007 as well as a reference to: Vogt, J.V. et al. (2007): A pan-European River and Catchment Database. European Commission - JRC, Luxembourg, (EUR 22920 EN) 120 pp.

Location of water course modifications (trenching, culverting, canalisation). The data was made available by HELCOM Contracting Parties in response to data request. The data was received from Estonia, Finland and Poland. Data reported by Finland and Poland as water course modification were interpreted as pipelines and were included in HELCOM HOLAS 2 Pipelines dataset. The activity was declared as not relevant in Germany and Lithuania. From Latvia, Russia and Sweden no data was reported.

Pressure layer combines all human activities that cause changes to hydrological conditions. The human activities were presented as point data which were given spatial extents (given below). The pressure value was given as the proportion of the grid cell under the pressure. The following human activities were combined into the changes to hydrological conditions layer; - Hydropower dams (a 1km2 grid cell in the river estuary was selected) - Water course modification (1 km) - Wind turbines (operational, 0.3 km, linear decline) - Oil platforms (0.5 km, linear decline) The human activity datasets were first processed separately covering the whole Baltic Sea and then summed together and overlapping areas were dissolved to remove double counting. Attenuation gradients are assigned to each layer as described above. Area effected decreases when distance from avtivity increases. Layer was normalized.

HOLAS II data set on Nuclear power plants discharge water outlets (name, delta temperature of water discharge, heat load) for 2011-2015. The coverage of the data set is full, except for the Leningrad power plant the data is not available.

The dataset contains the location of water course modifications as reported by the Contracting Parties for the period 2016-2021. The data was made available by HELCOM Contracting Parties in response to a data call. The data was reported by Denmark, Estonia, Finland, and Sweden. The use of HOLAS 2 data was requested by Estonia and Sweden. The activity was declared as not relevant in Germany and Latvia. Attribute specification and units (points and polygons): Year: Year of construction, especially if built between 2016-2021 Type: Structure type as listed on the data call (canalisation, culverting/trenching, causeway, damn/weir, other) Notes: Notes regarding the data Status: The status of the structure, if available Dimension: The dimension of the outlet, if available Original ID: Original identification used by the Contracting Party Attribute specification and units (lines): ID NAMESPACE STATUS KATEGORI TYPE JOURNAL_NR NOTE REGISTERTI REGISTER_1 VIRKNINGFR VIRKNINGTI EJER FAERDIGMEL REGISTRERI VIRKNINGSA

Pressure layer combines all human activities that cause changes to hydrological conditions. The human activities were presented as point data which were given spatial extents (given below). The pressure value was given as the proportion of the grid cell under the pressure. Water course modification: 1 km buffer[10]. Location of water course modifications used for buffer. Overlaps removed and areas of buffer calculated per each grid cell. The final value was the area of the buffer in each individual cell. Wind farms: 300 m buffer around each turbine classified as operational, with linear decline (Type B decline), composed of 3 rings. Location of operational turbines as points were buffered and values given over linear decline. Oil platforms: 500 m buffer around each turbine with linear decline (Type B decline) composed of 5 rings. Location of oil platforms as points were buffered and values given over linear decline. Hydropower dams: A grid cell in the estuary. Locations of hydropower dams were crossed with rivers and the grid cell located in the end of the river was selected as presence (1) – those that are operational and produces energy. Other values in the grid were considered absence. [10] Extent based on wind farms and cables but expanded to 1 km because hydrological parameters are widely spreading. The human activity datasets were first processed separately covering the whole Baltic Sea and then summed together and overlapping areas were dissolved to remove double counting. Attenuation gradients are assigned to each layer as described above. Area effected decreases when distance from avtivity increases. Layer was normalized.

Eutrophication, caused by excess input of nutrients, is one of the main threats affecting the Baltic Sea marine environment. Nutrients enter the Baltic Sea as waterborne (riverine inputs from the catchment area and direct discharges from point and diffuse sources in coastal areas) and airborne (atmospheric deposition) inputs. In 2007 HELCOM adopted a nutrient reduction scheme which is based on maximum allowable nutrient inputs (MAI) to reach "good environmental status" and country-wise nutrient reduction targets (CART) to share the burden of reducing nutrient pollution to the sea (HELCOM Baltic Sea Action Plan). Monitoring of nutrient inputs to the sea is important for assessing progress of countries towards their CART and to evaluate the effectiveness of measures to reduce pollution. This dataset displays nutrient loading as produced for http://www.helcom.fi/baltic-sea-trends/indicators/inputs-of-nutrients-to-the-subbasins HELCOM Core indicator: Inputs of nutrients to the subbasins based on HELCOM PLC data. Green colour of PLC subbasin indicates that inputs during 2016 were lower than MAI, red colour when they were higher, while yellow indicates that when taking into account the statistical uncertainty of input data it is not possible to determine whether MAI was fulfilled. The dataset contains following attributes: Basin: Name of PLC Subbasin Maximum allowable nutrient input: Maximum allowable nitrogen input for the subbasin (tons/year) N input including statistical uncertainty 2016: the average nitrogen input during 2016 including statistical uncertainty (tons/year) N input 2016 including statistical uncertainty in % of MAI: proportion of normalized nitrogen input during 2016 compared to MAI (%) Classification of achieving MAI: Classification of achieving MAI is given in colours: green=MAI fulfilled, yellow= fulfilment is not determined due to statistical uncertainty, and red=MAI not fulfilled.

Eutrophication, caused by excess inputs of nutrients, is one of the main threats affecting the Baltic Sea marine environment. Nutrients enter the Baltic Sea as waterborne (riverine inputs from the catchment area and direct discharges from point and diffuse sources in coastal areas) and airborne (atmospheric deposition) inputs. In 2007 HELCOM adopted a nutrient reduction scheme which is based on maximum allowable nutrient inputs (MAI) to reach "good environmental status" and country-wise nutrient reduction targets (CART) to share the burden of reducing nutrient pollution to the sea (HELCOM Baltic Sea Action Plan). Monitoring of nutrient inputs to the sea is important for assessing progress of countries towards their CART and to evaluate the effectiveness of measures to reduce pollution. This dataset displays total normalized annual average phosphorus loading as produced for href="http://www.helcom.fi/baltic-sea-trends/indicators/inputs-of-nutrients-to-the-subbasins" target="_blank"> HELCOM Core indicator: Inputs of nutrients to the subbasins based on HELCOM PLC data. Green colour of PLC subbasin indicates that inputs during 2016 were lower than MAI, red colour when they were higher, while yellow indicates that when taking into account the statistical uncertainty of input data it is not possible to determine whether MAI was fulfilled. The dataset contains following attributes: Basin: Name of PLC Subbasin Maximum allowable nutrient input: Maximum allowable phosphorus input for the subbasin (tons/year) P input including statistical uncertainty 2016: the average normalized phosphorus input during 2016 (tonnes/year) including statistical uncertainty for the subbasin Input 2016 including stat. uncertainty in % of MAI: proportion of average normalized phosphorus input during 2016 compared to MAI Classification of achieving MAI: Classification of achieving MAI is given in colours: green=MAI fulfilled, yellow= fulfilment is not determined due to statistical uncertainty, and red=MAI not fulfilled.

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

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