<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>

The High Resolution Layer Coniferous Cover Density (CCD) dataset provides information on the percentage of coniferous pixels at 100m spatial resolution, and is derived through aggregation of the 10m DLT for the respective reference year. Within each cell the number of broadleaved pixels are counted and the percentages stored into in the 100m pixel of the BCD. The class 255 = outside area is predefined by the 100m boundary layer and remains unchanged. This dataset is provided annually starting with 2018 in 100 meter rasters (fully conformant with the EEA reference grid) in 100 x 100 km tiles covering the EEA38 countries. High Resolution Layer Tree Cover and Forest product is part of the European Union’s Copernicus Land Monitoring Service. This dataset includes data from the French Overseas Territories (DOMs)

The High Resolution Layer Grassland (GRA) raster product provides a binary status layer of grassland/non-grassland mask. This grassy and non-woody vegetation baseline product includes all kinds of grasslands: managed grassland, semi-natural grassland and natural grassy vegetation. It does not include temporary grasslands, which are masked out using the corresponding Ploughing indicator (PLOUGH), indicating on the number of years since a pixel was last ploughed. In the 100 meter raster product, the number of Grassland pixels are counted and the percentages stored in each 100 meter cell. The class 255 = outside area is predefined by the 100m boundary layer and remains unchanged. This dataset is provided annually starting in 2017 with 100 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)

The High Resolution Layer Dominant Leaf Type Change (DLTC) 2018-2021 raster product provides information on the change between the reference years 2018 and 2021 and consists of 7 thematic classes (unchanged areas with no tree cover / new broadleaved cover / new coniferous cover / loss of broadleaved cover / loss of coniferous cover / unchanged areas with tree cover / potential change among dominant leaf types). This dataset is provided in 20 meter rasters (fully conformant with the EEA reference grid) in 100 x 100 km tiles covering the EEA38 countries. The production of the high resolution forest layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme. This dataset includes data from the French Overseas Territories (DOMs)

EMODnet Chemistry aims to provide access to marine chemistry data sets and derived data products concerning eutrophication, ocean acidification, contaminants and litter. The chosen parameters are relevant for the Marine Strategy Framework Directive (MSFD), in particular for descriptors 5, 8, 9 and 10. The dataset contains standardized, harmonized and validated data collections from beach litter (monitoring and other sources). Datasets concerning beach and seafloor litter data are loaded in a central database after a semi-automated validation phase. Once loaded, a data assessment is performed in order to check data consistency and potential errors are corrected thanks to a feedback loop with data originators. For beach litter, the harmonized datasets contain all unrestricted EMODnet Chemistry data on beach litter, including monitoring data, data from cleaning surveys and data from research. A relevant part of the monitoring data has been considered for assessment purposes by the European institutions and therefore is tagged as MSFD_monitoring. EMODnet beach litter data and databases are hosted and maintained by 'Istituto Nazionale di Oceanografia e di Geofisica Sperimentale, Division of Oceanography (OGS/NODC)' from Italy. Data are formatted following Guidelines and forms for gathering marine litter data, which can be found at: https://doi.org/10.6092/15c0d34c-a01a-4091-91ac-7c4f561ab508 The updated vocabularies of admitted values are available at: https://nodc.ogs.it/marinelitter/vocab The harmonized datasets can be downloaded as EMODnet Beach litter data format Version 7.0, which is a spreadsheet file composed of 4 sheets: beach metadata, survey metadata, animals and litter. Local_CDI field in the survey metadata sheet allows to retrieve the original data.

EN This shadow map illustrates terrain-induced shadows at 17:45 on August 12th, 2026. The solar eclipse will not be visible within the shaded areas. Shadow coverage may vary depending on the simulation resolution and the specific time. IS Skuggakortið sýnir staði þar sem skuggar falla klukkan 17:45 þann 12. ágúst 2026. Sólmyrkvinn mun ekki sjást á þeim svæðum sem eru í skugga. Skuggasvæðin geta verið breytileg vegna upplausnar hæðarkortsins og á öðrum tímum.

The High Resolution Layer Grassland Mowing Events (GRAME) raster product provides a basic land cover classification containing respectively the number of grassland mowing events within the detected Herbaceous cover layer (temporal and permanent grassland)) with a Minimum Mapping Unit (MMU) of 0.25 ha. The GRAME product will flag and map the number of mowing events (1, 2, 3, or 4+) on temporary or permanent grassland detected per year. 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. Confidence layer available for the dataset. This dataset includes data from the French Overseas Territories (DOMs)

The High Resolution Layer Forest Type (FTY) provides a forest classification with 3 thematic classes (all non-forest areas / broadleaved forest / coniferous forest) at 10m spatial resolution and with a Minimum Mapping Unit (MMU) of 0.5 ha. This raster layer is largely following the FAO (Food and Agriculture Organisation of the United Nations) forest definition with tree covered areas in agricultural and urban context excluded using the respective Forest Additional Support Layer (FADSL). This dataset is provided on a 3-yearly frequency in 10 meter rasters (fully conformant with the EEA reference grid) in 100 x 100 km tiles covering the EEA38 countries. High Resolution Layer Tree Cover and Forest product is part of the European Union’s Copernicus Land Monitoring Service. This dataset includes data from the French Overseas Territories (DOMs)

The High Resolution Layer Ploughing indicator (PLOUGH) raster product continues the 2015 and 2018 PLOUGH Layer following a rolling archive principle by adding current information and removing historic years. It indicates the number of years since the last indication of ploughing within the permanent grassland area. PLOUGH is derived by taking into account the series of binary HER layers, the BVL classifications and HR VPP PPI (Plant Phenology Index) quantiles. BVL classes 4 (crop) and 7 (overlaying layer between herbaceous and crop) indicate a ploughing event. Low HR VPP PPI quantiles indicate low vegetation at a certain time of the year. For years with missing information (2016 and earlier) the ploughing information from the historic PLOUGH product is considered which causes some issues. 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 Triphenyltin, positions with values counts that have been measured per matrix and are present in EMODnet regional contaminants aggregated datasets, v2024. The product displays positions for all available years.