The Impervious Built-Up Change (IBUC) 2021-2024 layer is part of the High Resolution Layer (HRL) Imperviousness and provides categorical information on the change of built-up per pixel as derived from the difference between the Impervious Built-Up (IBU) status layers for the reference years 2021 and 2024. The production of the HRL Imperviousness is coordinated by EEA in the frame of Copernicus, the Earth observation component of the European Union’s Space programme. The product is a raster dataset with 20-meter grid spacing (spatial resolution) that covers the 38 Eionet member and cooperating countries as well as the United Kingdom (i.e. EEA38+UK). It is distributed as 100 x 100 km tiles that are fully conformant with the EEA reference grid.

The Share of Built-Up Change (SBUC) 2021-2024 layer is part of the High Resolution Layer (HRL) Imperviousness and contains the change of built-up per pixel (increase or decrease in percentage) as derived from the difference between the Impervious Built-Up (IBU) status layers for the reference years 2021 and 2024, in an aggregated version of 100m spatial resolution. The production of the HRL Imperviousness is coordinated by EEA in the frame of Copernicus, the Earth observation component of the European Union’s Space programme. The product is a raster dataset with 100-meter grid spacing (spatial resolution) that covers the 38 Eionet member and cooperating countries as well as the United Kingdom (i.e. EEA38+UK). It is distributed as 100 x 100 km tiles that are fully conformant with the EEA reference grid.

The Share of Built-Up Change Classified (SBCC) 2021-2024 layer is part of the High Resolution Layer (HRL) Imperviousness and provides categorical information on the change of built-up per pixel between the reference years 2021 and 2024 as derived from a re-classification of the Share of Built-Up Change (IMDC) 2024–2021 layer. The production of the HRL Imperviousness is coordinated by EEA in the frame of Copernicus, the Earth observation component of the European Union’s Space programme. The product is a raster dataset with 100-meter grid spacing (spatial resolution) that covers the 38 Eionet member and cooperating countries as well as the United Kingdom (i.e. EEA38+UK). It is distributed as 100 x 100 km tiles that are fully conformant with the EEA reference grid.

The Impervious Built-Up (IBU) 2024 layer is part of the High Resolution Layer (HRL) Imperviousness and provides binary information of built-up areas (class 1) and non built-up areas (class 0) for the reference year 2024 as derived from Sentinel-2 image time series. The production of the HRL Imperviousness is coordinated by EEA in the frame of Copernicus, the Earth observation component of the European Union’s Space programme. The product is a raster dataset with 10-meter grid spacing (spatial resolution) that covers the 38 Eionet member and cooperating countries as well as the United Kingdom (i.e. EEA38+UK). It is distributed as 100 x 100 km tiles that are fully conformant with the EEA reference grid.

EMODnet Chemistry aims to provide access to marine chemistry datasets and derived data products concerning eutrophication, acidity and contaminants. The importance of the selected substances and other parameters relates to the Marine Strategy Framework Directive (MSFD). This aggregated dataset contains all unrestricted EMODnet Chemistry data on eutrophication and acidity, and covers the Greater North Sea and Celtic Seas. Data were aggregated and quality controlled by 'Aarhus University, Department of Bioscience, Marine Ecology Roskilde' in Denmark. ITS-90 water temperature and water body salinity variables have also been included ('as are') to complete the eutrophication and acidity data. If you use these variables for calculations, please refer to SeaDataNet for the quality flags: https://www.seadatanet.org/Products/Aggregated-datasets . Regional datasets concerning eutrophication and acidity are automatically harvested, and the resulting collections are aggregated and quality controlled using ODV Software and following a common methodology for all sea regions ( https://doi.org/10.13120/8xm0-5m67 ). Parameter names are based on P35 vocabulary, which relates to EMODnet Chemistry aggregated parameter names and is available at: https://vocab.nerc.ac.uk/search_nvs/P35/ . When not present in original data, water body nitrate plus nitrite was calculated by summing all nitrate and nitrite parameters. The same procedure was applied for water body dissolved inorganic nitrogen (DIN), which was calculated by summing all nitrate, nitrite, and ammonium parameters. Concentrations per unit mass were converted to a unit volume using a constant density of 1.025 kg/L. The aggregated dataset can also be downloaded as an ODV collection and spreadsheet, which is composed of a metadata header followed by tab separated values. This spreadsheet can be imported to ODV Software for visualisation (more information can be found at: https://www.seadatanet.org/Software/ODV.

The Aurora seamount and hydrothermal field, located in the western Gakkel Ridge of the Central Arctic Ocean, was first identified in 2001. The dataset presented here was collected during the HACON19 research cruise onboard of the RV Kronprins Haakon, as part the international HACON project (Hot vents in an ice-covered ocean: the role of the Arctic as a connectivity pathway between ocean basins). This campaign used the Ocean Floor Observation and Bathymetry System (OFOBS), which is a towed underwater sled equipped with high-resolution still and video cameras. This dataset provides density data (individuals per square meter) for benthic megafauna (organisms greater than 2 cm) inhabiting the Aurora Seamount, its hydrothermal vent field, and surrounding areas. The data were collected between October 1 and October 15, 2019. In addition to the biological density measurements, the dataset includes environmental context information such as observation depth and substrate type. Sampling methods:Observations were identified based on still image frames collected along several exploratory transects, and captured by a towed camera system (Ocean Floor Observation and Bathymetry System – OFOBS), which was equipped with both a high-resolution still camera and a high-definition video camera.Method step description:Each still image was annotated using the online annotation platform BIIGLE (Langenkämper et al., 2017; https://biigle.de) for the identification and quantification of all living benthic megafauna organisms (-gt;2cm), seafloor substrate type, and description of any other seafloor characteristics. Acknowledgements:AURORA: Bringing Deep-Sea Biodiversity Data to Light. Funded through the DTO-BioFlow project, which is supported by the European Union (Grant Agreement No. 101112823). HACON project - Hot vents in an ice-covered ocean: the role of the Arctic as a connectivity pathway between ocean basins, funded by FRINATEK call in the FRIPRO programme of the Research Council of Norway and coordinated by NIVA. Data creators are also funded by national funds through FCT – Fundação para a Ciência e a Tecnologia I.P., under the project CESAM-Centro de Estudos do Ambiente e do Mar, references UID/50017/2025 (doi.org/10.54499/UID/50017/2025) and LA/P/0094/2020 (doi.org/10.54499/LA/P/0094/2020).

The Share of Built-Up (SBU) 2024 is part of the High Resolution Layer (HRL) Imperviousness and contains the share (percentage) of built-up per pixel for the reference year 2024 as derived from a pixel aggregation of the binary Impervious Built-Up (IBU) 2024 layer. The production of the HRL Imperviousness is coordinated by EEA in the frame of Copernicus, the Earth observation component of the European Union’s Space programme. The product is a raster dataset with 100-meter grid spacing (spatial resolution) that covers the 38 Eionet member and cooperating countries as well as the United Kingdom (i.e. EEA38+UK). It is distributed as 100 x 100 km tiles that are fully conformant with the EEA reference grid.

The slope of the green-down period (RSLOPE), one of the Vegetation Phenology and Productivity (VPP) parameters, is a product of the pan-European Medium Resolution Vegetation Phenology and Productivity (MR-VPP) component of the Copernicus Land Monitoring Service (CLMS). The RSLOPE expresses the rate of change in the values of the Plant Phenology Index (PPI) at the day when the vegetation growing season ends. The Plant Phenology Index (PPI) is a physically based vegetation index, developed for improving the monitoring of the vegetation growth cycle. The PPI index values, withwith daily inputs, are first used in a function fitting to derive the PPI Seasonal Trajectories. From these Seasonal Trajectories, a suite of 13 Vegetation Phenology and Productivity (VPP) parameters are then computed and provided, for up to two seasons each year. The RSLOPE is one of the 13 parameters. The RSLOPE time series dataset is made available as raster files with 500x 500m resolution, in ETRS89-LAEA projection corresponding to the MCD43 tiling grid.

The season amplitude (AMPL), one of the Vegetation Phenology and Productivity (VPP) parameters, is a product of the pan-European Medium Resolution Vegetation Phenology and Productivity (MR-VPP) component of the Copernicus Land Monitoring Service (CLMS). The AMPL is the difference between the maximum and minimum Plant Phenology Index (PPI) values reached during the season. The Plant Phenology Index (PPI) is a physically based vegetation index, developed for improving the monitoring of the vegetation growth cycle. The PPI index values, with daily inputs, are first used in a function fitting to derive the PPI Seasonal Trajectories. From these Seasonal Trajectories, a suite of 13 Vegetation Phenology and Productivity (VPP) parameters are then computed and provided, for up to two seasons each year. The AMPL is one of the 13 parameters. The AMPL time series dataset is made available as raster files with 500 x 500m resolution, in ETRS89-LAEA projection corresponding to the MCD43 tiling grid.

EMODnet Chemistry aims to provide access to marine chemistry datasets and derived data products concerning eutrophication, acidity and contaminants. The importance of the selected substances and other parameters relates to the Marine Strategy Framework Directive (MSFD). This aggregated dataset contains all unrestricted EMODnet Chemistry data on eutrophication and acidity, and covers the Norwegian Sea, Barents Sea, Greenland Sea and Icelandic Waters. Data were aggregated and quality controlled by the 'Institute of Marine Research - Norwegian Marine Data Centre (NMD)' in Norway. ITS-90 water temperature and water body salinity variables have also been included ('as are') to complete the eutrophication and acidity data. If you use these variables for calculations, please refer to SeaDataNet for the quality flags: https://www.seadatanet.org/Products/Aggregated-datasets . Regional datasets concerning eutrophication and acidity are automatically harvested, and the resulting collections are aggregated and quality controlled using ODV Software and following a common methodology for all sea regions ( https://doi.org/10.13120/8xm0-5m67 ). Parameter names are based on P35 vocabulary, which relates to EMODnet Chemistry aggregated parameter names and is available at: https://vocab.nerc.ac.uk/search_nvs/P35/ . When not present in original data, water body nitrate plus nitrite was calculated by summing all nitrate and nitrite parameters. The same procedure was applied for water body dissolved inorganic nitrogen (DIN), which was calculated by summing all nitrate, nitrite, and ammonium parameters. Concentrations per unit mass were converted to a unit volume using a constant density of 1.025 kg/L. The aggregated dataset can also be downloaded as an ODV collection and spreadsheet, which is composed of a metadata header followed by tab separated values. This spreadsheet can be imported to ODV Software for visualisation (more information can be found at: https://www.seadatanet.org/Software/ODV ).