The High Resolution Layer Cropping Patterns - Secondary Crop Emergence (CPSCE) raster product provides the date of emergence of the cover crop in days of the year (DOY). YYDOY where YY = last 2 digits of the year (e.g. 19 for 2019) and DOY is the day of the year (1-365) 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 Croplands 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 Copernicus High Resolution Layer Tree Cover Precense Change (TCPC) 2018-2021 raster product provides information on the change between the reference years 2018 and 2021 and consists of 4 thematic classes (unchanged areas with no tree cover / new tree cover / loss of tree cover / unchanged areas with tree cover). The class 255 = outside area is predefined by the 100m boundary layer and remains unchanged. This layer for previous reference year compraissions is called Tree Cover Change Mask (TCCM). 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. Confidence layer available for the dataset. This dataset includes data from the French Overseas Territories (DOMs)

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)

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.

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)

The High Resolution Layer Cropping Patterns - Secondary Crop Duration (CPSCD) raster product provides the duration (in days) of the cover crop season (can exceed the calendar 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 Croplands 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)

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.

Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales. Original provider: Happywhale Dataset credits: Happywhale and contributorsSightings and images were submitted to Happywhale by contributors. A portion of the Happywhale data were transferred to OBIS-SEAMAP upon the agreement between Happywhale and OBIS-SEAMAP. There may be duplicate records among Happywhale datasets and other OBIS-SEAMAP datasets. The precision of date/time vary per record. Some records have date accuracy up to year only. This dataset includes sightings and photos from the following 280 contributors in alphabetic order: adam maire; Adelie Xiaohang Li; Adrian Neubert; Alexandre Lhériau; Alex Sinclair Lack; Alicia; Allan Finney; Allied Whale North Atlantic Humpback Whale Catalog; Allison Chen; Ana; Andrew Newlun; Andrew Stewart; Andy Rose; Angela Bowler; ANGEL SOLE; Anja Robanke; Anke Kugelstadt; Anna Astafurova; Annette Bombosch; AnninaS; Antoine Viot; Audrey Stephens; Austin Wyatt; Avner Chen; Babsi Neubarth; Barbara Anne Brandon; Beatriz Benares; Benoit Nabholz; B. Noordermeer; Bonnie Gretz; Borbala; Boyd Taylor; brad siviour; Calle Schönning; Camilo Rada; Carlos Rincon; Caroline Hodgkiss; Cassandra Ruiz; Cees Tineke; Charles Lavin; Charlotte Taplin; Chris Croxson; Christian Engelke; Christian Thrane; Christoph Fritz; Chrys Tremththanmor; Conor Ryan; Dani Abras; Daniel Stevens; Danilo Foresti; DarrenJew; Dave Matlin; David Bradley; David German; Dennis Boon; Devienne Gilles; Dimitri Vitkin; Dirk van Zandwijk; Dmitrii Kiselev; Domininc Barrington; Doug Gould; Eckhard; Eden Zang; Eivind Aksnes; Elaine Purnell; Elie Vannier; Eliott Lehoux; Elísabet Ýr Guðjónsdóttir; Elke; Ellen Klein; Elodie; emma; Emma Luck; Emma Neave-Webb; Emmanuelle Peyredieu; Enrico Hoefer; Eric Clark; Eric ROURE; Erin Sneider; Eugene Saxentoff; Eyd M. Grønadal; Fabian Schmalzried; Fabio; Familia Sanchez Planell; Fanny; Federico Arribere; Florentine Guinot; françois; Frank J.; Fredrik Broms; Gabriel Lett Viviani; gaidet; Gail Cousins; Garry Bray; Geffen family; Geir Hareide Hansen; Ghada; GordieBryce; Gordon Riddell; Greta Henderson; Hanna Michel; hannes heylen; Hans Verdaat; Harold Moses; Hazel Pittwood; Heidi Krajewsky; Henk Kamstra; Herman Sips; Herve Sibert; Husavik Research Centre; Ian Gordon; Irati Maruri; Isabella Clegg; James F C Hyde IV; Jamie Coleman; Jan Kajzar; Javier Cotin; Javier Solis; Jeff Reynolds; Jenifer; Jérôme JACOB; Jim Wilson; Joe Arceneaux; Joel Moore; John Mina; Jonas Astrup; Jonathan Rempel; joost vaeyens; Josef Wolf; Joy Martinello; Joy van der Beek; Judith Scott; Judit Roch; Julia Jayne; Juliane Schlei; Julia Yr Thorvaldsdottir; Julie Skyte; karen McMullen; Kate Sauvain; Kate Weston; Katrin Schmidt; Kayla Spencer; Ken Jensen; Ken Wells; Kerstin Langenberger; Kevin; Kirsten MacTaggart; Kit Kovacs; Konstantinos Kafritsas; Kurt Methfessel; LAMBIN Jean-Marc; Lars Maltha Rasmussen; Laura; Laurence Fischer; Laurens; Laurie Horsfall; Leendert; Lena Nicola; Lene Zachariassen; Leslie Stueben-Trumphour; Lisa Hildebrand; Loes de Heus; Maëva Accart; Manfred Moormann; Marc Gose; MARC SELLERS; Marcus Bergström; Margrét Ósk Elíasdóttir; Marian Herz; Marijke Nita de Boer; Marika Marnela; Marilia Olio; Marion JONCHERES; Marjolein Meijdam; Mark Harris; Marley Watkins; Martine; Martin Kemper; Mary Keenan; Matt McDermit; Max Schweiger; Menno Schaefer; Michael Scott; Michael Sterling; Michel Pierfitte; Mick Peerdeman; Mona Beate Wendelborg; Mona Wong; Mouser Williams; MS Fram; MS Maud; MS Otto Sverdrup; MS Spitsbergen; Nacho Oria; Nadine Hunziker; Natascha; Niklas Astrom; Nils; NOAA National Marine Mammal Laboratory (NMML); Ocean Missions; Olaf Pignataro; Olivier Blaud; Pascal Mauerhofer; Patrick Ruf; Patrick Scherer; Pat Sanders; Pauline van Monsjou; Paul Soulby; Per Nikolaj Bukh; Per Olsson; Petra Glardon; Petr Petrik; Philippe Jeanty; Pim Wolf; Pupanoid; Queloz; Rachael Barber; Radovan Sutora; Rafael Martins; Raina Burke; Rand Rudland; Rebecca Malkewicz; Richard Allan; Richard Lovelock; Richard Walker; Richard White; Rob Gons; Rodrigo A. Martinez Catalan; Rod White; Romane R; Rosa M. Coronas; Russian Cetacean Habitat Project; Ruud; Sabine Griesser; Sais Céline; Samantha Wormley; Sandra Zijlstra; Sea Fever Productions; Shannon; Shantala Wentink; Sheila Miller; S. Helgu; Siairra Tharp; Simon Smith; Slater T Moore; Sophie Carr; Soyer; Stacey Colebaugh; Steffen G.; Steffen Oehme; Steffo Polar; Stephan Uhlemann; Stephen King; Steve Jones; Steven dos-Remedios; Steve Willetts; Susan Smith; suse; Tanja; Ted Creek; Teresa Blase; Therese Horntrich; Thomas Podesta; Tiffany Fare; Tim Wright; Tobias Brehm; Tobias Paul; Tony Littler; Tressarieu; Tudor Morgan; Ursula Brändle; Vicki Beaver; Virgil Reglioni; Vladimir Burkanov; Whale Wise; Wilfried Schnessl; Wouter Verwee; Years of the North Atlantic Humpback whale (YoNAH); Yuri Choufour; Yves Roumazeilles

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)

The Imperviousness Change Classified (IMCC) 2021-2024 layer is part of the High Resolution Layer (HRL) Imperviousness and provides categorical information on the imperviousness change per pixel between reference years 2021 and 2024 as derived from re-classification of the Imperviousness Density Change (IMDC) 2021–2024 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 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.