HELCOM Metadata catalogue
HELCOM Metadata catalogue (Helcom)
Continents, countries, sea regions of the world.
Polybrominated diphenyl ethers (PBDE) 2018
This core indicator evaluates the status of the marine environment based on concentrations of Polybrominated diphenyl ethers (PBDE) in biota and sediment. Quantitative thresholds are used to evaluate if core indicators status is "Achieve", "Fail" or "Not assessed". This dataset displays the result of the indicator in HELCOM Assessment Scale 4 (Division of the Baltic Sea into 17 sub-basins and further division into coastal and off-shore areas and division of the coastal areas by WFD water types or water bodies). Attribute information: "OBJECTID" = Object identification "HELCOM_ID" = Code of the HELCOM scale 4 assessment unit "Descriptio" = Description of the HELCOM scale 4 assessment unit "AULEVEL" = Assessment unit level used for the indicator "level_2" = name of subbasin "Contamination ratio in biota" = Contamination ratio in biota for this substance "Status in biota" = Status of the indicator in biota (“Achieve”, “Fail” or “Not assessed”) "Contamination ratio in sediment" = Contamination ratio in sediment for this substance "Status in sediment" = Status of the indicator in sediment (“Achieve”, “Fail” or “Not assessed”) "Overall Status" = Overall Status of the indicator according to one-out-all-out (“Achieve”, “Fail” or “Not assessed”)
Use constraints: The data and resulting data products (tables, figures and maps) available on the indicator web page can be used freely given that the source is cited. The indicator should be cited as following: HELCOM (2018) Polybrominated diphenyl ethers (PBDE). HELCOM core indicator report. Online. [Date Viewed], [Web link].
Access constraints: No limitations on public access.
Data are extracted from the HELCOM COMBINE database, hosted by ICES. The data is based on regular monitoring activities carried out by Contracting Parties of HELCOM. Most data sets cover only short time series which prevent temporal analyses. With the available data, status maps can be produced adequately for most parts of the western Baltic Sea, covering data up to 2016. Data from several existing stations and some new stations of the Baltic Sea shall be uploaded in the ICES database in 2017. The confidence of the indicator evaluation is high. Additional information: http://www.helcom.fi/baltic-sea-trends/indicators/polybrominated-diphenyl-ethers-(pbdes)/ Link to metadata of biota dataset used for indicator calculation: http://metadata.helcom.fi/geonetwork/srv/eng/catalog.search#/metadata/cea59caa-d12c-4d3e-a0bc-e5ce0d19f280 http://metadata.helcom.fi/geonetwork/srv/eng/catalog.search#/metadata/b2b23903-938a-478e-9085-4db702e47e4c
Zooplankton mean size and total stock (MSTS) 2018 (HOLAS 2)
This dataset represents the underlying data on core indicator Zooplankton mean size and total stock (MSTS). The core indicator evaluates zooplankton community structure to determine whether it reflects good environmental status. Quantitative thresholds are used to evaluate core indicators status in Achieve, Fail or Not assessed. As a rule, achieve status occur when large sized zooplankters occur abundantly in the plankton community. Due to strong environmental gradients, size distribution and total stock of the zooplankton corresponding to achieve status vary between the Baltic Sea sub-basins. This dataset displays the result of the indicator in HELCOM Assessment Scale 2 (Division of the Baltic Sea into 17 sub-basins). The dataset contains following attributes: "HELCOM_ID" = ID of the HELCOM scale 2 assessment unit "SB_Code" = Code of the HELCOM subbasin "Name" = Name of the HELCOM scale 2 assessment unit "Threshold value" = Threshold value for this indicator "Indicator value" = Value for the indicator in HELCOM scale 2 assessment unit "Status" = Status of the indicator (“Good”, “Not good” or “Not assessed”) "Info" = additional information "AULEVEL" = Assessment unit level used for the indicator "ConfA" = confidence of classification "ConfT" = Temporal confidence of classification "ConfS" = Spatial confidence of classification "ConfM" = Methodological confidence of classification
Use constraints: Data can be used freely given that the source (HELCOM) is cited.
The data are provided by national monitoring programmes with HELCOM COMBINE parameters and methods. The indicator is based on routine data obtained within current monitoring schemes in the Baltic Sea, and is applicable in all areas where the programme is implemented. All HELCOM Contracting Parties carry out relevant monitoring. The indicator uses mean zooplankton size and total stock (MSTS) for evaluating whether good environmental status is achieved or not. The indicator uses the parameter mean zooplankter size (mean size) which is presented as a ratio between the total zooplankton abundance (TZA) and total biomass (TZB). This metrics is complemented with an absolute measure of total zooplankton stock, TZA or TZB, to provide MSTS. Thus, MSTS is a two-dimensional, or a multimetric, indicator representing a synthetic descriptor of zooplankton community structure. The overall confidence of the evaluation is moderate to high and varies between assessment units. Additional info: http://www.helcom.fi/baltic-sea-trends/indicators/zooplankton-mean-size-and-total-stock-(MSTS)/ Link to metadata of dataset used for indicator calculation: http://metadata.helcom.fi/geonetwork/srv/eng/catalog.search#/metadata/2fda6dbc-acc1-4de9-86a9-366de22a349a
Polyaromatic hydrocarbons PAHs - Anthracene in sediment results HOLAS 3
This core indicator evaluates the status of the marine environment based on concentrations of polyaromatic hydrocarbons PAHs - Anthracene in sediment. Quantitative thresholds are used to evaluate if core indicators status is "Achieve", "Fail" or "Not assessed". Attribute specifications and units: "HELCOM_ID" = Code of the HELCOM scale 4 assessment unit "country": country in which the HELCOM assessment unit is located or a mention to an open sea area "level_2" = Name of the HELCOM assessment unit in scale 2 "Name" = Name of the HELCOM assessment unit in scale 4 "Open_sea" = Name of the HELCOM assessment unit in the open sea "F2_Name" = Name of the HELCOM assessment unit "determinan" = Determinat "est" = The estimated mean loge concentration in the assessment unit "se" = The standard error on the estimated mean log concentration in the assessment unit "fit" = The estimated mean concentration in the assessment unit "upper_cl" = Upper one-sided 95% confidence limit on the mean concentration: exp(est + qnorm(0.95) * see) "colour" = symbology "Status" = Overall Status of the indicator according to one-out-all-out
Use constraints: Data can be used freely given that the source is cited (following creative commons license CC-BY). The source should be cited as: “HELCOM HOLAS 3 Dataset (2023)"
The dataset was created in order to update the information for the indicator under HOLAS 3. Following a data call submitted to Contracting Parties in April 2021. HELCOM HOLAS III Data call covers all current regular monitoring data reporting as well as supplemental data that is required for the State of the Baltic Sea report.
The data set is showing shallow inlets and bays in the Baltic Sea area as polygons used for the BRISK project (Sub-regional risk of spill of oil and hazardous substances in the Baltic Sea, http://www.brisk.helcom.fi/). This dataset has been produced by COWI (http://www.cowi.dk) based on data collected from HELCOM, Russia and Estonia. The dataset includes data provided by the BRISK Project Partner organisations. The detailed documentation of what partner provided what data is given in the Annex of the document: 70618-3.1.2.2 Data Collection Report.
Use constraints: The dataset includes data provided by the BRISK Project Partner organisations. The detailed documentation of what partner provided what data and under what conditions is given in the Annex of the document: 70618-3.1.2.2 Data Collection Report: http://www.brisk.helcom.fi/publications/en_GB/publications/_files/87683540275822972/default/Report%20on%20collected%20data.pdf
Environmental vulnerability fall (BRISK)
A vector grid in 2 x 2 km resolution showing the environmental sensitivity and the underlying themes that have caused the final vulnerability in fall for the Baltic Sea area. This dataset has been produced by COWI (http://www.cowi.dk) for the BRISK project (Sub-regional risk of spill of oil and hazardous substances in the Baltic Sea, http://www.brisk.helcom.fi/). Sensitivity map is based on datasets provided by the BRISK Project Partner organisations. The detailed documentation of what partner provided what data is given in the Annex of the document: 70618-3.1.2.2 Data Collection Report. Field explanations: RS_SR: Rocky shores and stony reefs, Estuaries; Estuaries, Lagoons: Coastal lagoons, Bays: Shallow inlets and bays, Sandbanks: Underwater Sand banks, Beach: Sandy beaches, Seagrass: Sea grass, meadows, Spawning: Spawning area for fish with demersal eggs, Nursery: Nursery areas for fish on shallow water, Off_spawn: Offshore spawning areas for fish with pelagic eggs, Win_Birds: Wintering areas for sea and shore birds, Staging: Staging areas for migrating sea and shore birds, Breeding: Breeding areas for sea and shore birds, Moulting: Moulting areas for sea birds, Mammals: Marine Mammals, Protected: Protected areas, Aquacult:: Fish farms and aqua cultures, Sum: Weighted vulnerability index, Index: Not used Weighted vulnerability index is used to depict vulnerability for the Baltic Sea. Certain parameters have been used to map the environmental sensitivity to oil and each has been weighted for four seasons based on expert judgment. Two alternative sensitivity weighting matrices were also prepared in order to evaluate and validate the results. The sensitivity maps has been combined with the data on oil impact to model environmental damage, and to quantitatively compare the relative efect of the proposed new measures to reduce the risk, impact and damage of oil. Underlaying paramenters used in the vulnerability calculation can be obtained from HELCOM map service under Shipping\Risk Assessment (BRISK)\Environmental parameters -folder.
Use constraints: This dataset has been produced by COWI (http://www.cowi.dk) for the BRISK project (Sub-regional risk of spill of oil and hazardous substances in the Baltic Sea, http://www.brisk.helcom.fi/). Sensitivity map is based on datasets provided by the BRISK Project Partner organisations. The detailed documentation of what partner provided what data and under what conditions is given in the Annex of the document: 70618-3.1.2.2 Data Collection Report. http://www.brisk.helcom.fi/publications/en_GB/publications/_files/87683540275822972/default/Report%20on%20collected%20data.pdf
This dataset has been produced by COWI (http://www.cowi.dk) for the BRISK project (Sub-regional risk of spill of oil and hazardous substances in the Baltic Sea, http://www.brisk.helcom.fi/). Sensitivity map is based on datasets provided by the BRISK Project Partner organisations. The detailed documentation of what partner provided what data is given in the Annex of the document: 70618-3.1.2.2 Data Collection Report.
Fishing intensity total 2010 surface gear v2
This dataset describes fishing intensity for surface mobile bottom contacting gear in 2010 based on VMS/Log book data processed by ICES Working Group on Spatial Fisheries Data (WGSFD). ICES secretariat collected during 2017 relevant VMS and logbook data for 2009-2016 to produce, as a technical service to HELCOM, updated spatial data layers on fishing intensity/pressure. Improved data quality control checks were implemented. Submitted data across the HELCOM area have improved in quality compared to previous data 2009-2013 published in 2015. Standardized methods were used to produce the requested data layers. The code used to create the data products is available here: https://github.com/ices-eg/wg_WGSFD For further technical information on the advice request, see http://www.ices.dk/sites/pub/Publication%20Reports/Advice/2017/Special_requests/helcom.2017.18.pdf HELCOM secretariat did the following processing to the shapefile provided by ICES: - Conversion to ETRS89LAEA coordinate system - Added feature and attribute "Reported" to display unreported areas. Dataset attribute information: c-square: Unique reference of the c-square polygon Year: Year of fishing activity mid_lat: latitude coordinate of the centroid of c-square inWGS84 decimal degrees mid_lon: longitude coordinate of the centroid of c-square inWGS84 decimal degrees SurfaceSAR: Surface area ratio (Swept area, < 2 cm penetration depth of the gear components) Subsurface: Subsurface area ratio (Swept area, subsurface =>2 cm penetration depth of the gear components) totweight: Total Weight (kg) totvalue: Total value (Euros) Kw Fishing Hours: (Kw*h) Fishing hours: (h) Reported: Yes=Reported data. No= No reported data (area that does not contain effort/intensity value due to lack of reported data). Please note that this dataset was updated (v2) in January 2019, see further details below in the lineage section.
Use constraints: The data products derived from the advice are downloadable from HELCOM Map and Data service and can be used freely given that the source is cited. The correct data product citation is following: ICES. 2017. Spatial data layers of fishing intensity/pressure per gear type for surface and subsurface abrasion, for the years 2009 and 2016 in the HELCOM area. Available as shapefile datasets at: https://doi.org/10.17895/ices.pub.2860.
ICES secretariat collected during 2017 relevant VMS and logbook data for 2009-2016 to produce, as a technical service to HELCOM, updated spatial data layers on fishing intensity/pressure. Improved data quality control checks were implemented. Submitted data across the HELCOM area have improved in quality compared to previous data 2009-2013 published in 2015. Standardized methods were used to produce the requested data layers. The code used to create the data products is available here: https://github.com/ices-eg/wg_WGSFD HELCOM secretariat downloaded the data and did the following processing to the shapefile provided by ICES: - Conversion to ETRS89LAEA coordinate system - Added feature and attribute "Reported" to display unreported areas. After processing, the datasets were published via HELCOM Map and Data service as individual map layers. Dataset corrected in January 2019: Upon request of the data provider outputs have been updated by ICES to better ensure vessel anonymity. Three ICES advice products (associated with sr.2018.14, sr.2017.17, and sr.2017.18) that use VMS and logbook data to describe detailed bottom trawling fishing activity have been updated to better ensure individual vessel anonymity. For these products, the level of gear grouping dis-aggregation at a c-square resolution of (0.05 degrees x 0.05 degrees) over one year were deemed too detailed by the original data provider subsequent to the release of the original advice. For these c-squares (containing 3 vessels or less) the value "-9" has been inserted to indicate that the data value for effort is missing from the c-square, but that the c-square does have a footprint from bottom trawling.
This dataset contains all HBCD stations by sub-basin in the Baltic Sea as reported to the HELCOM MORE project.
Use constraints: HELCOM data can be used freely for non-commercial purposes. Users are requested to cite HELCOM as the data source when using downloaded datasets in publications.
This dataset was collected by HELCOM Secretariat during the HELCOM MORE project and represents monitoring stations in the Baltic Sea. The dataset was collected and published at the beginning of 2013.The data came originally from the CORESET project. Contracting Parties were then asked to complete and check the info.
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
Use constraints: Data can be used freely given that the source is cited (following creative commons license CC-BY). The source should be cited as: “HELCOM HOLAS 3 Dataset (2023)".
Years 2016-2020 were extracted from reported shipping accidents with oil spills (Parameter Pollution=Yes).
This dataset describes fishing effort (hours/c-square) for midwater trawl in 2011 based on VMS/Log book data processed by ICES Working Group on Spatial Fisheries Data (WGSFD). HELCOM requires spatially explicit information on fishing activity affecting the Baltic Sea marine ecosystem for policy purposes. In order to obtain this information a joint ICES/HELCOM/OSPAR data call was issued to relevant authorities of contracting parties to deliver information on fishing activity based on VMS/Log book data. The raw data was submitted to ICES and processed to advice data products by ICES Working Group for Spatial Fisheries (WGSFD) as requested by HELCOM. Processing of the raw data requires specific resources, knowledge and guarantee of anonymity for specific vessels, thus the process was done by ICES WGSFD following Conditions for VMS data use. In 2015 ICES collated Vessel Monitoring System (VMS) and logbook data received; data from Russia were not received. ICES provided to HELCOM advice as fishing abrasion pressure maps as well as fishing effort maps. HELCOM secretariat did the following processing to the data: - Conversion to ETRS89LAEA coordinate system - Added feature and attribute "Reported" to display unreported areas. Dataset attribute information: c-square: Unique reference of the c-square polygon mid_lat: latitude coordinate of the centroid of c-square inWGS84 decimal degrees mid_lon: longitude coordinate of the centroid of c-square inWGS84 decimal degrees Year: Year of fishing activity quarter: Quarter of the year, if applicable geargroup: Fishing gear group (Effort maps) SubsurfSAR: Subsurface swept area ratio (Intensity maps) SurfSAR: Surface swept area ratio (Intensity maps) Fishing_ho: Total fishing effort in hours within c-square (Effort maps) Reported: Yes=Reported data. No= No reported data (area that does not contain effort/intensity value due to lack of reported data.
Use constraints: The data products derived from the advice are downloadable from HELCOM Map and Data serviceand can be used freely given that the source is cited. The correct data product citation is following: ICES. 2015. Fishing abrasion pressure maps for mobile bottom-contacting gears in HELCOM area. http://ices.dk/sites/pub/Publication%20Reports/Data%20outputs/HELCOM_mapping_fishing_intensity_and_effort_data_outputs_2015.zipWhen using the data for analysis/assessments the following caveats need to be taken into consideration:The methods for identifying fishing activity from the VMS data varied between countries; therefore there may be some country-specific biases that ICES cannot evaluate. Additionally, activities other than active towing of gear may have been incorrectly identified as fishing activity. This would have the effect of overestimating the apparent fishing intensity in ports and in areas used for passage.The data for 2012 and 2013 is not directly comparable to the data of previous years in the data call (2009–2011) due to the gradual increase in VMS-enabled vessels in the range of 12–15 m. This is likely to be most relevant when examining trends in effort for inshore areas.Many countries have substantial fleets of smaller vessels that are not equipped with VMS (The fishing abrasion pressure methodology is based on very broad assumptions in terms of the area affected by abrasion. A single speed and gear width was applied across each gear category in most cases, which can lead to both underestimates and overestimates in actual surface and subsurface abrasion.
HELCOM requires spatially explicit information on fishing activity affecting the Baltic Sea marine ecosystem for policy purposes. In order to obtain this information a joint ICES/HELCOM/OSPAR data call was issued to relevant authorities of contracting parties to deliver information on fishing activity based on VMS/Log book data. The raw data was submitted to ICES and processed to advice data products by ICES Working Group for Spatial Fisheries (WGSFD) as requested by HELCOM. Processing of the raw data requires specific resources, knowledge and guarantee of anonymity for specific vessels, thus the process was done by ICES WGSFD following Conditions for VMS data use. In 2015 ICES collated Vessel Monitoring System (VMS) and logbook data received; data from Russia were not received. ICES provided to HELCOM advice as fishing abrasion pressure maps as well as fishing effort maps. HELCOM secretariat did the following processing to the data: - Conversion to ETRS89LAEA coordinate system - Added feature and attribute "Reported" to display unreported areas. Dataset attribute information: c-square: Unique reference of the c-square polygon mid_lat: latitude coordinate of the centroid of c-square inWGS84 decimal degrees mid_lon: longitude coordinate of the centroid of c-square inWGS84 decimal degrees Year: Year of fishing activity quarter: Quarter of the year, if applicable geargroup: Fishing gear group (Effort maps) SubsurfSAR: Subsurface swept area ratio (Intensity maps) SurfSAR: Surface swept area ratio (Intensity maps) Fishing_ho: Total fishing effort in hours within c-square (Effort maps) Reported: Yes=Reported data. No= No reported data (area that does not contain effort/intensity value due to lack of reported data.
Integrated eutrophication status assessment 2018 - Direct effects
This dataset contains integrated eutrophication status assessment 2011-2016, visualized for direct effects (C2_ER). The assessment is done on HELCOM Assessment Unit level 4: HELCOM Subbasins with coastal WFD water type or water bodies. The HEAT 3.0 has been applied for open sea assessment units using HELCOM core indicators and for coastal areas using national WFD indicators. For more information about the methodology, see State of the Baltic Sea report and HELCOM Eutrophication assessment manual. Attribute information: "HELCOM_ID": ID of HELCOM Level 4 Assessment unit "Country": Country / opensea "level_2": Name of HELCOM Level 2 Assessment unit "Name": Name of HELCOM Level 4 Assessment unit "Area_km2": Area of assessment unit Descriptio: Name of assessment unit "C1_N": Criteria 1, number of indicators used for calculating Eutrophication ratio (ER) "C1_ER": Criteria 1, ER "C1_SCORE": Criteria 1, Confidence of ER "C2_N": Criteria 2, number of indicators used for calculating ER "C2_ER": Criteria 2, ER "C2_SCORE": Criteria 2, Confidence of ER "C3_N": Criteria 3, number of indicators used for calculating ER "C3_ER": Criteria 3, ER "C3_SCORE": Criteria 3, Confidence of ER "N": Number of criteria used for calculating overall ER "ER": Overall ER "SCORE": Status confidence "STATUS": Status classification (Good (classes 0-0.5 & 0.5-1.0), Not Good (classes 1.0-1.5, 1.5-2.0 & >2.0), Not assessed) "CONFIDENCE": Final confidence rating (< 50% = low, 50-74 % = Moderate, = 75 % = High) "AULEVEL": Level of assessment units
Dataset was created in June 2018 by joining HEAT 3.0 output file with HELCOM Level 4 assessment units. Core indicators and pre-core indicators that were used to calculate the integrated eutrophication status assessment - Direct effects (open sea): - http://metadata.helcom.fi/geonetwork/srv/eng/catalog.search#/metadata/efaf6c9b-1f57-4c4d-b268-dfed0b3907e4 - http://metadata.helcom.fi/geonetwork/srv/eng/catalog.search#/metadata/d23979e1-0b59-45b5-8ca0-41ed8e89a742 - http://metadata.helcom.fi/geonetwork/srv/eng/catalog.search#/metadata/a6f20ce1-8cef-482b-a4e4-aff52cb60f8e National WFD indicators were used for coastal assessment units. Additional information in "State of the Baltic Sea report" and on the http://stateofthebalticsea.helcom.fi/
Download Polyaromatic hydrocarbons PAHs - Anthracene in sediment results HOLAS 3
View Polyaromatic hydrocarbons PAHs - Anthracene in sediment results HOLAS 3
Fishing effort longlines fourth quarter 2013
This dataset describes fishing effort (hours/c-square) for longlines in fourth quarter of 2013 based on VMS/Log book data processed by ICES Working Group on Spatial Fisheries Data (WGSFD). HELCOM requires spatially explicit information on fishing activity affecting the Baltic Sea marine ecosystem for policy purposes. In order to obtain this information a joint ICES/HELCOM/OSPAR data call was issued to relevant authorities of contracting parties to deliver information on fishing activity based on VMS/Log book data. The raw data was submitted to ICES and processed to advice data products by ICES Working Group for Spatial Fisheries (WGSFD) as requested by HELCOM. Processing of the raw data requires specific resources, knowledge and guarantee of anonymity for specific vessels, thus the process was done by ICES WGSFD following Conditions for VMS data use. In 2015 ICES collated Vessel Monitoring System (VMS) and logbook data received; data from Russia. HELCOM secretariat did the following processing to the data: - Conversion to ETRS89LAEA coordinate system - Added feature and attribute "Reported" to display unreported areas. Dataset attribute information: c-square: Unique reference of the c-square polygon mid_lat: latitude coordinate of the centroid of c-square inWGS84 decimal degrees mid_lon: longitude coordinate of the centroid of c-square inWGS84 decimal degrees Year: Year of fishing activity quarter: Quarter of the year, if applicable geargroup: Fishing gear group (Effort maps) SubsurfSAR: Subsurface swept area ratio (Intensity maps) SurfSAR: Surface swept area ratio (Intensity maps) Fishing_ho: Total fishing effort in hours within c-square (Effort maps) Reported: Yes=Reported data. No= No reported data (area that does not contain effort/intensity value due to lack of reported data.
HELCOM requires spatially explicit information on fishing activity affecting the Baltic Sea marine ecosystem for policy purposes. In order to obtain this information a joint ICES/HELCOM/OSPAR data call was issued to relevant authorities of contracting parties to deliver information on fishing activity based on VMS/Log book data. The raw data was submitted to ICES and processed to advice data products by ICES Working Group for Spatial Fisheries (WGSFD) as requested by HELCOM. Processing of the raw data requires specific resources, knowledge and guarantee of anonymity for specific vessels, thus the process was done by ICES WGSFD following Conditions for VMS data use. In 2015 ICES collated Vessel Monitoring System (VMS) and logbook data received; data from Russia. HELCOM secretariat did the following processing to the data: - Conversion to ETRS89LAEA coordinate system - Added feature and attribute "Reported" to display unreported areas. Dataset attribute information: c-square: Unique reference of the c-square polygon mid_lat: latitude coordinate of the centroid of c-square inWGS84 decimal degrees mid_lon: longitude coordinate of the centroid of c-square inWGS84 decimal degrees Year: Year of fishing activity quarter: Quarter of the year, if applicable geargroup: Fishing gear group (Effort maps) SubsurfSAR: Subsurface swept area ratio (Intensity maps) SurfSAR: Surface swept area ratio (Intensity maps) Fishing_ho: Total fishing effort in hours within c-square (Effort maps) Reported: Yes=Reported data. No= No reported data (area that does not contain effort/intensity value due to lack of reported data.
Fishing intensity total 2009 surface gear v2
This dataset describes fishing intensity for surface mobile bottom contacting gear in 2009 based on VMS/Log book data processed by ICES Working Group on Spatial Fisheries Data (WGSFD). ICES secretariat collected during 2017 relevant VMS and logbook data for 2009-2016 to produce, as a technical service to HELCOM, updated spatial data layers on fishing intensity/pressure. Improved data quality control checks were implemented. Submitted data across the HELCOM area have improved in quality compared to previous data 2009-2013 published in 2015. Standardized methods were used to produce the requested data layers. The code used to create the data products is available here: https://github.com/ices-eg/wg_WGSFD For further technical information on the advice request, see http://www.ices.dk/sites/pub/Publication%20Reports/Advice/2017/Special_requests/helcom.2017.18.pdf HELCOM secretariat did the following processing to the shapefile provided by ICES: - Conversion to ETRS89LAEA coordinate system - Added feature and attribute "Reported" to display unreported areas. Dataset attribute information: c-square: Unique reference of the c-square polygon Year: Year of fishing activity mid_lat: latitude coordinate of the centroid of c-square inWGS84 decimal degrees mid_lon: longitude coordinate of the centroid of c-square inWGS84 decimal degrees SurfaceSAR: Surface area ratio (Swept area, < 2 cm penetration depth of the gear components) Subsurface: Subsurface area ratio (Swept area, subsurface =>2 cm penetration depth of the gear components) totweight: Total Weight (kg) totvalue: Total value (Euros) Kw Fishing Hours: (Kw*h) Fishing hours: (h) Reported: Yes=Reported data. No= No reported data (area that does not contain effort/intensity value due to lack of reported data). Please note that this dataset was updated (v2) in January 2019, see further details below in the lineage section.
Observations of Aythya fuligula were collected from the Baltic Sea area for HELCOM Red List species list. The HELCOM Red List of Baltic Sea species in danger of becoming extinct (2013) is the first threat assessment for Baltic Sea species that covers all marine mammals, fish, birds, macrophytes (aquatic plants), and benthic invertebrates, and follows the Red List criteria of the International Union for Conservation of Nature (IUCN). Almost 2800 species were considered in the Red List assessment and about 1750 were evaluated according to the IUCN Red List criteria. Aythya fuligula has been placed to the Red List category of Near Threatened (NT) species. The map shows the species range only during the breeding season.
Use constraints: Data can be used freely given that the source (HELCOM, 2012) is cited.
This dataset displays distribution of Aythya fuligula according to HELCOM RED LIST assessment based on the following data sources: (Data from Herrmann / bird expert team of the HELCOM Red List project 2009-2013, published in 2012)
Observations of Agrypnetes crassicornis were collected from the Baltic Sea area for HELCOM Red List species list. The HELCOM Red List of Baltic Sea species in danger of becoming extinct (2013) is the first threat assessment for Baltic Sea species that covers all marine mammals, fish, birds, macrophytes (aquatic plants), and benthic invertebrates, and follows the Red List criteria of the International Union for Conservation of Nature (IUCN). Almost 2800 species were considered in the Red List assessment and about 1750 were evaluated according to the IUCN Red List criteria. Agrypnetes crassicornis has been placed to the Red List category of Data deficient (DD) species. Dataset for download contains spatial grid of the Baltic Sea. Distribution of the species can be found in corresponding name column. Values are coded: 1 - Present before year 2000 or in 2000, 2 - Present after year 2000, 3 - Present both before and after year 2000.
Use constraints: Data can be freely used when cited the original data from the Finnish Environment Institute.
This dataset displays distribution of Agrypnetes crassicornis according to HELCOM RED LIST assessment based on the following data sources: The geo-referenced records of species obtained from the Finnish database of threatened species (Hertta) and from the Finnish insect database (Hyönteistietokanta). There is at least one observation also on the Swedish coast of the Bothnian Bay (personal communication, Ulf Bjelke) but the exact location is not known. Some locations are also known from northern rivers (not shown in the map). Also a location in the Åland Islands is not shown on the map. (Downloaded from Finnish Environment Institute on 10 April 2013)
This dataset contains the most up-to-date reported data about monitoring hazardous substances - metals stations in the Baltic Sea.
This dataset was collected by HELCOM Secretariat during the HELCOM MORE project and represents monitoring stations in the Baltic Sea. The dataset was collected during the HELCOM MORE project.
Observations of Lebetus guilleti were collected from the Baltic Sea area for HELCOM Red List species list. The HELCOM Red List of Baltic Sea species in danger of becoming extinct (2013) is the first threat assessment for Baltic Sea species that covers all marine mammals, fish, birds, macrophytes (aquatic plants), and benthic invertebrates, and follows the Red List criteria of the International Union for Conservation of Nature (IUCN). Almost 2800 species were considered in the Red List assessment and about 1750 were evaluated according to the IUCN Red List criteria. Lebetus guilleti has been placed to the Red List category of Data Deficient (DD) species. The map shows the sub-basins in the HELCOM area where the species is known to occur regularly and to reproduce (HELCOM 2012).
This dataset displays distribution of Lebetus guilleti according to HELCOM RED LIST assessment based on the following data sources: (Data from the Checklist of fish and lamprey species (Excel sheet) in 2012)
This dataset describes fishing intensity for Otter mobile bottom contacting gear in 2009 based on VMS/Log book data processed by ICES Working Group on Spatial Fisheries Data (WGSFD). ICES secretariat collected during 2017 relevant VMS and logbook data for 2009-2016 to produce, as a technical service to HELCOM, updated spatial data layers on fishing intensity/pressure. Improved data quality control checks were implemented. Submitted data across the HELCOM area have improved in quality compared to previous data 2009-2013 published in 2015. Standardized methods were used to produce the requested data layers. The code used to create the data products is available here: https://github.com/ices-eg/wg_WGSFD For further technical information on the advice request, see http://www.ices.dk/sites/pub/Publication%20Reports/Advice/2017/Special_requests/helcom.2017.18.pdf HELCOM secretariat did the following processing to the shapefile provided by ICES: - Conversion to ETRS89LAEA coordinate system - Added feature and attribute "Reported" to display unreported areas. Dataset attribute information: c-square: Unique reference of the c-square polygon Year: Year of fishing activity mid_lat: latitude coordinate of the centroid of c-square inWGS84 decimal degrees mid_lon: longitude coordinate of the centroid of c-square inWGS84 decimal degrees SurfaceSAR: Surface area ratio (Swept area, < 2 cm penetration depth of the gear components) Subsurface: Subsurface area ratio (Swept area, subsurface =>2 cm penetration depth of the gear components) totweight: Total Weight (kg) totvalue: Total value (Euros) Kw Fishing Hours: (Kw*h) Fishing hours: (h) Reported: Yes=Reported data. No= No reported data (area that does not contain effort/intensity value due to lack of reported data). Please note that this dataset was updated (v2) in January 2019, see further details below in the lineage section.