HELCOM Metadata catalogue
HELCOM Metadata catalogue (Helcom)
Continents, countries, sea regions of the world.
Abundance of key coastal fish species HOLAS 3
This dataset contains core indicator results developed under the HELCOM Third Holistic Assessment of the Ecosystem Health of the Baltic Sea (HOLAS 3).
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)"
Access constraints: No limitations on public access.
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. Link to metadata of dataset used for indicator calculation:https://metadata.helcom.fi/geonetwork/srv/eng/catalog.search#/metadata/2eaab8ee-9814-4e87-b196-5b539f6e23f2
Observations of Salmo trutta 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. Salmo trutta has been placed to the Red List category of Vulnerable (VU) species. The map shows the sub-basins in the HELCOM area where the species is known to occur regularly (HELCOM 2012). Reproduction takes place in rivers.
Use constraints: Data can be used freely given that the source (HELCOM, 2012) is cited.
This dataset displays distribution of Salmo trutta 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 contains all PBDE in biota monitoring station locations, observed matrix, biota matrix and monitored species as reported to HELCOM secretariat by HELCOM Contracting Parties by 2016.
Use constraints: Data can be used freely given that the source (HELCOM) is used.
This dataset was collected by HELCOM Secretariat by submitting a request to national representatives of HELCOM STATE & CONSERVATION group to supplement the information collected during the HELCOM MORE project.
State of the soft-bottom macrofauna community data HOLAS 3
This dataset contains data used for the HELCOM Core indicator State of the soft-bottom macrofauna community for HOLAS 3. Attribute information: "SampleID" = Sample ID "Station" = Station name "Year" = Year of sampling event "Latitude" = Latitude coordinate (WGS84 decimal degrees) "Longitude" = Longitude coordinate (WGS84 decimal degrees) "Depth" = Depth of station (m) "Sentivit" = Sensitivity subset "Sampling_a" = Sampling area (cm2) "Sieve_mesh" = Sive mesh size (microm) "BQI" = Benthic quality index value "Data sourc" = Source of data (national monitoring / other) "Data_origi" = Data providing organization "Country" = Data providing country "Assessment" = HELCOM Level 2 assessment unit where the station resides
Data is originating from national monitoring and reported to HELCOM COMBINE database hosted by ICES. COMBINE database data has been supplemented with national data from Estonia, Germany, Latvia and Lithuania.
This dataset contains all dioxins in sediments monitoring station locations as reported to HELCOM secretariat by HELCOM Contracting Parties by 2016.
This core indicator evaluates the eutrophication status of the Baltic Sea area based on oxygen debt. The oxygen debt value is calculated based on data reported to HELCOM COMBINE database using script developed in TARGREV project and further developed within EUTRO OPER project. The R-script for calculating oxygen is accessible from https://github.com/ices-tools-prod/HEAT/tree/master/scripts/OxygenDebt This dataset displays the result of the indicator in HELCOM Assessment Scale 4 (Division of the Baltic Sea into 17 open sea sub-basins and division of coastal areas to WFD water types or water bodies), but applicable only to certain open sea assessment units. Coastal areas were excluded from the shapefile. Attribute information: "HELCOM_ID" = Code of the HELCOM scale 4 assessment unit "Country" = country/ opensea "level_2" = name of subbasin "level_4" = Name of the HELCOM scale 4 assessment unit "Area (km2)" = Area of the HELCOM scale 2 assessment unit “Name_1” = "Name" = Name of the open sea area “Season” = Season of the indicator “Period” = Assessment unit period (20112016 = 2011 – 2016) "Indicator value (ES)" = Indicator value calculated for the assessment unit "Standard deviation (STD)" = Standard deviation of data used for calculating ES "Number of samples " = Number of samples in assessment unit "Thershold value (ET)" = Commonly agreed thershold value "Ratio between ES and ET (ER)" = Ratio between ES and ET (in case of indicator with positive response to eutrophication) "ES_SCORE” = Confidence based on the data used for calculating ES "ET_SCORE” = Confidence of target-setting procedure "I_SCORE” = Confidence (%) = average of ES-Score and ET-Score "Indicator Weight" = Indicator Weight in integrated eutrophication assessment “Status” = Status of the indicator (“Achieve”, “Fail”, “Not assessed” or "Not applicable") “Confidence” = Confidence of result based on I-SCORE (“High”, “Moderate” or “Low”) "AULEVEL" = Assessment unit level used for the indicator
Use constraints: Data can be used freely given that the source (HELCOM) is cited.
The dataset was created in June 2018 Data source: The average for 2011-2016 was estimated using monitoring data provided by the HELCOM Contracting Parties, and kept in the HELCOM COMBINE database, hosted by ICES (www.ices.dk). Nominated members of HELCOM STATE & CONSERVATION group were given the opportunity to review the data, and to supply any missing monitoring observations, in order to achieve a complete dataset. Description of data: The data includes in-situ temperature, salinity and oxygen profiles, determined as explained in the HELCOM COMBINE manual. Dissolved oxygen measurements made at the depth below the halocline were used in the assessment. Geographical coverage: The observations are distributed in the sub-basins according to the HELCOM COMBINE programme, added occasionally with data from research cruises. Temporal coverage: The raw data includes observations throughout the year, during the assessment period 2011-2016. Data aggregation: The 2011-2016 averages for each sub-basin were produced as inter-annual estimates, determined using a GLM-GAM procedure to exclude spatio-temporal bias. The oxygen debt calculation algorithm R-script can be accessed at https://github.com/ices-tools-prod/HEAT#oxygen-debt-indicatorcalculation-scripts Additional information: http://www.helcom.fi/baltic-sea-trends/indicators/oxygen-debt/
Eutrophication assessment in-situ CTD data 2016-2021
This dataset contains datasets for the Eutrophication assessment developed under the HELCOM Third Holistic Assessment of the Ecosystem Health of the Baltic Sea (HOLAS 3). The dataset contains all Baltic Sea monitoring CTD data reported by HELCOM Contracting Parties to ICES for the HOLAS3 assessment period 2016-2021. The data have been reported using the ICES Ocean reporting format: https://www.ices.dk/data/data-portals/Pages/ocean-format.aspx https://www.ices.dk/data/Documents/ocean/ICES-Oceanography-Data-Submission-Format.zip
The dataset was created in order to update the information for the indicators in HOLAS 3 assessment. The data stems from HELCOM COMBINE monitoring carried out by HELCOM Contracting Parties and reported to ICES database. Data extraction from ICES database was carried out during autumn 2022. The dataset was quality assured by HELCOM EG EUTRO group.
Fishing intensity total 2015 subsurface gear v2
This dataset describes fishing intensity for subsurface mobile bottom contacting gear in 2015 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 describes fishing intensity for OT DMF mobile bottom contacting gear in 2014 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.
Polychlorinated biphenyls PCB and dioxins and furans - dioxins in biota results HOLAS 3
This dataset represents the underlying data on core indicator PCB, dioxin and furan. The core indicator evaluates the status of the marine environment based on concentrations of dioxin and dioxin like compounds in Baltic Sea fish, crustacean and molluscs as well as on concentrations of non-dioxin like PCB in Baltic Sea fish. Good status is achieved when the concentrations of PCB, dioxin and furan are below the threshold values. 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 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) "Status" = Overall Status of the indicator according to one-out-all-out
Data are extracted from the HELCOM COMBINE database, hosted by ICES. The COMBINE data stem from regular environmental monitoring programmes of the coastal countries. The assessment protocol is structured in three main parts, 1) changes in log concentrations over time are modelled, 2) check for compliance against threshold value and evidence for temporal change of contaminant concentration per station and 3) a spatial aggregation of status per assessment unit. The overall confidence of the assessment is moderate. Additional information: http://www.helcom.fi/baltic-sea-trends/indicators/polychlorinated-biphenyls-(PCBs)-and-dioxins-and-furans
Download Abundance of key coastal fish species HOLAS 3
View Abundance of key coastal fish species HOLAS 3
Download State of the soft-bottom macrofauna community data HOLAS 3
View State of the soft-bottom macrofauna community data HOLAS 3
Download Polychlorinated biphenyls PCB and dioxins and furans - dioxins in biota results HOLAS 3
View Polychlorinated biphenyls PCB and dioxins and furans - dioxins in biota results HOLAS 3