'''DEFINITION''' The sea level ocean monitoring indicator is derived from the DUACS delayed-time (DT-2021 version) altimeter gridded maps of sea level anomalies based on a stable number of altimeters (two) in the satellite constellation. These products are distributed by the Copernicus Climate Change Service and are also available in the CMEMS catalogue (SEALEVEL_GLO_PHY_CLIMATE_L4_MY_008_057). The mean sea level evolution estimated in the North-West Shelf region is derived from the average of the gridded sea level maps weighted by the cosine of the latitude. The annual and semi-annual periodic signals are adjusted and the time series is low-pass filtered. The curve is corrected for the effect of the Glacial Isostatic Adjustment using the ICE5G-VM2 GIA model (Peltier, 2004). '''CONTEXT''' Mean sea level evolution has a direct impact on coastal areas and is a crucial index of climate change since it reflects both the amount of heat added in the ocean and the mass loss due to land ice melt (e.g. IPCC, 2013; Dieng et al., 2017). Long-term and inter-annual variations of the sea level are observed at global and regional scales. They are strongly related to the internal variability observed at basin scale and these variations can strongly affect population living in coastal areas. '''CMEMS KEY FINDINGS''' Using the latest reprocessed altimeter sea level products, it is possible to estimate the sea level rise in the North-West Shelf region since 01/1993 (see the proposed figure of the indicator for the updated trend value). The associated uncertainty is provided in a 90% confidence interval and only errors related to the altimeter observation system have been considered in the sea level trend uncertainty (Prandi et al., 2021). The uncertainty due to the sea level internal variability of the observed ocean is not included and should be considered additionally. The North-West Shelf region is a large, deep and open ocean area, which explains the relatively reduced inter annual variability observed in the sea level record compared to semi-enclosed basin with shallow bathymetry (Baltic and Black seas). '''DOI (product):''' https://doi.org/10.48670/moi-00271

Community councils are required to be established by local authorities. They are the most local tier of statutory representation in Scotland. They bridge the gap between local authorities and communities and help to make public bodies aware of the opinions and needs of the communities they represent. Community councils are statutory consultees under various processes, such as for planning applications. There are many instances where polygons do not tessellate or snap to local authority boundaries. The Spatial Hub processing can correct for some minor gap errors (<5m) but not larger ones. Such gaps in the dataset mean that it cannot potentially be used for some kinds of spatial analysis e.g. point in polygon, because some point locations may fall within the gaps. These gaps either require amendment at source or approval for the IS to change.

'''DEFINITION''' Oligotrophic subtropical gyres are regions of the ocean with low levels of nutrients required for phytoplankton growth and low levels of surface chlorophyll-a whose concentration can be quantified through satellite observations. The gyre boundary has been defined using a threshold value of 0.15 mg m-3 chlorophyll for the Atlantic gyres (Aiken et al. 2016), and 0.07 mg m-3 for the Pacific gyres (Polovina et al. 2008). The area inside the gyres for each month is computed using monthly chlorophyll data from which the monthly climatology is subtracted to compute anomalies. A gap filling algorithm has been utilized to account for missing data inside the gyre. Trends in the area anomaly are then calculated for the entire study period (September 1997 to December 2020). '''CONTEXT''' Oligotrophic gyres of the oceans have been referred to as ocean deserts (Polovina et al. 2008). They are vast, covering approximately 50% of the Earth’s surface (Aiken et al. 2016). Despite low productivity, these regions contribute significantly to global productivity due to their immense size (McClain et al. 2004). Even modest changes in their size can have large impacts on a variety of global biogeochemical cycles and on trends in chlorophyll (Signorini et al 2015). Based on satellite data, Polovina et al. (2008) showed that the areas of subtropical gyres were expanding. The Ocean State Report (Sathyendranath et al. 2018) showed that the trends had reversed in the Pacific for the time segment from January 2007 to December 2016. '''CMEMS KEY FINDINGS''' The trend in the North Pacific gyre area for the 1997 Sept – 2020 December period was positive, with a 2.17% increase in area relative to 2000-01-01 values. Note that this trend is slightly lower than the 2.25% reported for the 1997-2019 period (though the small difference is within the uncertainties associated with the two estimates). The trend is statistically significant (p<0.05). During the 1997 Sept – 2020 December period, the trend in chlorophyll concentration was negative (-0.31% year-1) in the North Pacific gyre relative to 2000-01-01 values. This trend is slightly more negative than the trend of -0.25% year-1 for the 1997-2019 period, though the sign of the trend remains unchanged and is statistically significant (p<0.05). For 2016, The Ocean State Report (Sathyendranath et al. 2018) reported a large increase in gyre area in the Pacific Ocean (both North and South Pacific gyres), probably linked with the 2016 ENSO event which saw large decreases in chlorophyll in the Pacific Ocean. '''DOI (product):''' https://doi.org/10.48670/moi-00227

An object oriented geospatial database of the Maltese Islands. This dataset reflects structures and other features which sit upon the earth, such as buildings.

This dataset includes data for % cover of rhodoliths located in the NE of Malta. Such data was collected under the EMFF 8.3.1 Project. The monitoring was undertaken in line with Malta's monitoring factsheets for the MSFD Directive.

Dataset contains locations and obligatory metadata properties of geothermal wells that were identified and catalogued in the Danube Region Leading Geothermal Energy (DARLINGe) project in 2017-2019. For more information visit the project website at https://www.darlinge.eu/

This dataset includes the locations of the monitoring sites of the EMFF 8.3.1 Project.

This product displays the stations where naphthalene has been measured and the values present in EMODnet Chemistry infrastructure are always above the limit of detection or quantification (LOD/LOQ), i.e quality value equal to 1. It is necessary to take into account that LOD/LOQ can change with time. These products aggregate data by station, producing only one final value for each station (above, below or above/below). EMODnet Chemistry has included the gathering of contaminants data since the beginning of the project in 2009. For the maps for EMODnet Chemistry Phase III, it was requested to plot data per matrix (water,sediment, biota), per biological entity and per chemical substance. The series of relevant map products have been developed according to the criteria D8C1 of the MSFD Directive, specifically focusing on the requirements under the new Commission Decision 2017/848 (17th May 2017). The Commission Decision points to relevant threshold values that are specified in the WFD, as well as relating how these contaminants should be expressed (units and matrix etc.) through the related Directives i.e. Priority substances for Water. EU EQS Directive does not fix any threshold values in sediments. On the contrary Regional Sea Conventions provide some of them, and these values have been taken into account for the development of the visualization products. To produce the maps the following process has been followed: 1. Data collection through SeaDataNet standards (CDI+ODV) 2. Harvesting, harmonization, validation and P01 code decomposition of data 3. SQL query on data sets from point 2 4. Production of map with each point representing at least one record that match the criteria The harmonization of all the data has been the most challenging task considering the heterogeneity of the data sources, sampling protocols. Preliminary processing were necessary to harmonize all the data : • For water: contaminants in the dissolved phase; • For sediment: data on total sediment (regardless of size class) or size class < 2000 μm • For biota: contaminant data will focus on molluscs, on fish (only in the muscle), and on crustaceans • Exclusion of data values equal to 0

Each Local Authority should have a list of libraries within their Council area. These may be static i.e. located in one building all of the time, or mobile i.e. they are in vehicles that attend a set location on a specific day at a certain time. This data may also be collected as part of other datasets (e.g. Council Asset Register) though Local Authorities do appear to hold it as a distinct layer. Further information on Libraries in Scotland (inc. non-LA libraries) is available from The Scottish Library and Information Council (https://scottishlibraries.org/)

This product displays the stations where hexachlorobenzene has been measured and the values present in EMODnet Chemistry infrastructure are always above the limit of detection or quantification (LOD/LOQ), i.e quality value equal to 1. It is necessary to take into account that LOD/LOQ can change with time. These products aggregate data by station, producing only one final value for each station (above, below or above/below). EMODnet Chemistry has included the gathering of contaminants data since the beginning of the project in 2009. For the maps for EMODnet Chemistry Phase III, it was requested to plot data per matrix (water,sediment, biota), per biological entity and per chemical substance. The series of relevant map products have been developed according to the criteria D8C1 of the MSFD Directive, specifically focusing on the requirements under the new Commission Decision 2017/848 (17th May 2017). The Commission Decision points to relevant threshold values that are specified in the WFD, as well as relating how these contaminants should be expressed (units and matrix etc.) through the related Directives i.e. Priority substances for Water. EU EQS Directive does not fix any threshold values in sediments. On the contrary Regional Sea Conventions provide some of them, and these values have been taken into account for the development of the visualization products. To produce the maps the following process has been followed: 1. Data collection through SeaDataNet standards (CDI+ODV) 2. Harvesting, harmonization, validation and P01 code decomposition of data 3. SQL query on data sets from point 2 4. Production of map with each point representing at least one record that match the criteria The harmonization of all the data has been the most challenging task considering the heterogeneity of the data sources, sampling protocols. Preliminary processing were necessary to harmonize all the data : • For water: contaminants in the dissolved phase; • For sediment: data on total sediment (regardless of size class) or size class < 2000 μm • For biota: contaminant data will focus on molluscs, on fish (only in the muscle), and on crustaceans • Exclusion of data values equal to 0