The High Resolution Layer Herbaceous cover (HER) raster product provides a basic land cover classification with 2 thematic classes (temporal and permanent herbaceous / non-herbaceous). The production of the herbaceous layer is primarily based on the probability estimates obtained from the Base Vegetation Layer (BVL) which also serves to harmonize the different vegetated HRL products (Grasslands, Tree Cover and Forests, Croplands). HER is further used as input for the Grassland status layer (GRA) extracting the permanent herbaceous in combination with the Ploughing indicator (PLOUGH). This dataset is provided annually starting in 2017 with 10 meter rasters (fully conformant with the EEA reference grid) in 100 x 100 km tiles covering the EEA38 countries. High Resolution Layer Grasslands product is part of the European Union’s Copernicus Land Monitoring Service. This dataset includes data from the French Overseas Territories (DOMs)

This product displays for Naphthalene, median values since 2012 that have been measured per matrix and are present in EMODnet regional contaminants aggregated datasets, v2024. The median values ranges are derived from the following percentiles: 0-25%, 25-75%, 75-90%, >90%. Only "good data" are used, namely data with Quality Flag=1, 2, 6, Q (SeaDataNet Quality Flag schema). For water, only surface values are used (0-15 m), for sediment and biota data at all depths are used.

<p>Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.-nbsp;</p>

This product displays for Anthracene, positions with values counts that have been measured per matrix and are present in EMODnet regional contaminants aggregated datasets, v2022. The product displays positions for all available years.

This product displays for Fluoranthene, positions with percentages of all available data values per group of animals that are present in EMODnet regional contaminants aggregated datasets, v2024. The product displays positions for all available years.

The High Resolution Layer Grassland Mowing Dates (GRAMD) raster product provides at pan-European level in the spatial resolution of 10 m a basic land cover classification, flagging and mapping the start date (DOY) (GRAMD) within the detected Herbaceous cover layer (temporal and permanent grassland)) with a Minimum Mapping Unit (MMU) of 0.25 ha. The GRAMD product will flag and map the dates (Day of Year) of each mowing event on temporary or permanent grassland per year, resulting in a product split in four different rasters per year. This dataset is provided annually starting with 2017 in 10 meter rasters (fully conformant with the EEA reference grid) in 100 x 100 km tiles covering the EEA38 countries. High Resolution Layer Grasslands product is part of the European Union’s Copernicus Land Monitoring Service. This dataset includes data from the French Overseas Territories (DOMs)

This product displays for Lead, positions with values counts that have been measured per matrix and are present in EMODnet regional contaminants aggregated datasets, v2022. The product displays positions for all available years.

This product displays positions symbolized per matrix, for all available contaminants measurements present in EMODnet regional contaminants aggregated datasets, v2024. The product displays positions for all available years.

This product displays for DDT, DDE, and DDD, median values since 2012 that have been measured per matrix and are present in EMODnet regional contaminants aggregated datasets, v2024. The median values ranges are derived from the following percentiles: 0-25%, 25-75%, 75-90%, >90%. Only "good data" are used, namely data with Quality Flag=1, 2, 6, Q (SeaDataNet Quality Flag schema). For water, only surface values are used (0-15 m), for sediment and biota data at all depths are used.

<p>Original provider: Happywhale Dataset credits: Happywhale and contributors Abstract: Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.-nbsp;</p>