Creation year

2024

553 record(s)
 
Type of resources
Categories
Available actions
Topics
Keywords
Contact for the resource
Provided by
Years
Formats
Representation types
Service types
Scale
Resolution
From 1 - 10 / 553
  • Categories  

    Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales. Sightings 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 1 contributors in alphabetic order: Petra Stolz

  • Categories  

    Cetaceans (whales, dolphins, and porpoises) data to understand their abundance and distribution ​​​​This portal assembles at-sea effort-related data collected via ship-based or aerial methods, collated under the Joint Cetacean Database Programme (JCDP). The JCDP aims to streamline the process of accessing and utilising these data by collating the existing and forthcoming cetacean evidence base into a single resource. These data have a wide range of applications and have the potential to support analyses at a range of spatial and temporal scales. The JCDP database hosted by ICES stomach content database includes data from aerial and ship-based surveys from the Arctic waters, Greater North Sea, Northeast, Celtic seas and Bay of Biscay. Data from 74 distinct surveys are published here - Cornwall Wildlife Trust Marine Megafauna Ferry surveys~ 2010-2013, SCANS (Small cetaceans in the European Atlantic and North Sea)-94, SCANS-II and SCANS-III- spanning over the years 1994, 2005, 2009-2013 and 2016. The data are organised at an effort level (effort is a specific time interval within a survey, dedicated to the sightings of marine mammals), and sightings of different taxonomic groups are reported as occurrences. 5411 occurrences of marine mammals and a few other species are reported.

  • Categories  

    Water_body_silicate - Monthly Climatology for the European Seas for the period 1960-2023 on the domain from longitude -45.0 to 70.0 degrees East and latitude 24.0 to 83.0 degrees North. Data Sources: observational data from SeaDataNet/EMODnet Chemistry Data Network. Description of DIVA analysis: The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.7.12, using GEBCO 30sec topography for the spatial connectivity of water masses. Horizontal correlation length and vertical correlation length vary spatially depending on the topography and domain. Depth range: 0.0, 5.0, 10.0, 15.0, 20.0, 25.0, 30.0, 35.0, 40.0, 45.0, 50.0, 55.0, 60.0, 65.0, 70.0, 75.0, 80.0, 85.0, 90.0, 95.0, 100.0, 125.0, 150.0, 175.0, 200.0, 225.0, 250.0, 275.0, 300.0, 325.0, 350.0, 375.0, 400.0, 425.0, 450.0, 475.0, 500.0, 550.0, 600.0, 650.0, 700.0, 750.0, 800.0, 850.0, 900.0, 950.0, 1000.0, 1050.0, 1100.0, 1150.0, 1200.0, 1250.0, 1300.0, 1350.0, 1400.0, 1450.0, 1500.0, 1550.0, 1600.0, 1650.0, 1700.0, 1750.0, 1800.0, 1850.0, 1900.0, 1950.0, 2000.0, 2100.0, 2200.0, 2300.0, 2400.0, 2500.0, 2600.0, 2700.0, 2800.0, 2900.0, 3000.0, 3100.0, 3200.0, 3300.0, 3400.0, 3500.0, 3600.0, 3700.0, 3800.0, 3900.0, 4000.0, 4100.0, 4200.0, 4300.0, 4400.0, 4500.0, 4600.0, 4700.0, 4800.0, 4900.0, 5000.0, 5100.0, 5200.0, 5300.0, 5400.0, 5500.0 m. Units: umol/l. The horizontal resolution of the produced DIVAnd analysis is 0.25 degrees.

  • Categories  

    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

  • Categories  

    The European Environment Agency (EEA) is an agency of the European Union (EU) tasked with providing independent information on the environment. Established in 1990 and headquartered in Copenhagen, Denmark, the EEA serves as a key source of environmental data, assessments, and reports for policymakers and the public across Europe. With a focus on improving environmental decision-making and promoting sustainable development, the agency plays a vital role in monitoring, analyzing, and communicating environmental trends and challenges. At its core, the EEA aims to support the development, implementation, and evaluation of EU environmental policies. It achieves this mission through a range of activities, including data collection, analysis, and reporting. The agency collaborates with national environmental agencies in EU member states, as well as other international organizations, to gather and harmonize environmental data from across Europe. This wealth of information is then used to produce high-quality assessments and reports on various environmental topics. One of the primary functions of the EEA is to provide regular assessments of the state of Europe's environment. These assessments cover a wide range of issues, including air and water quality, biodiversity, climate change, and resource use. By compiling and analyzing data from different sources, the agency produces comprehensive reports that highlight key environmental trends, identify emerging challenges, and assess progress towards environmental objectives. These assessments are invaluable tools for policymakers, helping them to make informed decisions and prioritize actions to protect and improve the environment. In addition to assessing the state of the environment, the EEA also plays a crucial role in monitoring the effectiveness of environmental policies and measures. The agency tracks the implementation of EU environmental legislation and policies, assessing their impact on the ground. By evaluating the success or shortcomings of these policies, the EEA provides valuable feedback to policymakers, helping them to refine and strengthen environmental governance at the European level. Furthermore, the EEA acts as a hub for environmental information and knowledge exchange. The agency maintains several databases and online platforms, such as the European Environmental Data Centre (EEDC) and the European Environment Information and Observation Network (EIONET), which provide access to a wealth of environmental data, maps, and indicators. These resources are freely available to policymakers, researchers, NGOs, and the public, supporting evidence-based decision-making and fostering greater transparency and accountability in environmental governance. In this page you can find the Web Services of the European Environment Agency

  • Categories  

    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. Supplemental information: Sightings 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 0 contributors in alphabetic order:

  • Categories  

    The pan-European Very High Resolution (VHR) Image Mosaic 2021 is a seamless mosaic of the VHR 2021 dataset. The input data consists of a mix of Pleiades, SuperView, Worldview, Kompsat-3, Kompsat-4, Geoeye, SPOT, Deimos-2, Vision-1 and TripleSat images. To enhance the appearance of the input imagery, a histogram stretch was applied, cutting off the lowest and highest 0.1 percent of the histogram values and stretching the remaining values to fit the 16-bit pixel depth. For each input image, only selected areas were used to create the mosaic, and the rest was masked out to exclude areas with clouds and their shadows. Color balance was achieved using a second-order method, which modifies all input pixels toward a set of multiple points derived from a two-dimensional polynomial parabolic surface, ensuring a seamless mosaic. For several water bodies, especially large lakes, the final result exhibited a patchy surface pattern due to presence of sun glint on the satellite images. A post-processing methodology was implemented to recalculate the digital values to produce a seamless appearance surface of some of these major lakes: Vänern and Vättern (Sweden), Oulu (Finland), Peipus (Estonia), Geneva (Switzerland/France), Constance (Switzerland/Germany/Austria), Garda and Bolsena (Italy), Skadar (Montenegro/Albania), Prespa (North Macedonia/Albania/Greece), Beysehir, Iznik and Van (Turkey). The applied methodology consisted of creating individual mosaics with the images comprising only the mentioned lakes (a mosaic per lake), calculating Normalized Difference Vegetation Index (NDVI) for shoreline extraction, and color balancing each mosaic individually with all land surfaces masked out, using only pixels belonging to the water category. This approach allowed smoothing the patchy surfaces of the above-mentioned lakes considering statistics solely from the water pixels, ensuring a more uniform appearance. To enhance the visualization of the entire dataset at larger scales (greater than 1:500.000), the mosaic displays pan-European overviews generated from the pan-European Very High Resolution 2018 Image Mosaic. The updated VHR 2021 version is visualized only at scales below 1:500.000. The mosaic primarily is used as input data in the production of various Copernicus Land Monitoring Service (CLMS) datasets and services, such as land cover maps and high-resolution layers on land cover characteristic. It can be also useful for CLMS users for visualizations and classifications on land. The input imagery for the creation of the mosaic is provided by ESA. Due to license restrictions, the VHR Image Mosaic 2021 is only available as a web map service (WMS), and not for data download.

  • Categories  

    This product displays for Hexachlorobenzene, 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.

  • Categories  

    This product displays for Hexachlorobenzene, 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.

  • Categories  

    The European Ground Motion Service (EGMS) is a component of the Copernicus Land Monitoring Service. EGMS provides consistent, regular, standardised, harmonised and reliable information regarding natural and anthropogenic ground motion phenomena over the Copernicus Participating States and across national borders, with millimetre accuracy. This set of metadata describes the second product level of EGMS: Calibrated. This product is considered the main EGMS product as it serves the needs of most users. but the measurement points are referenced to a model derived from global navigation satellite system data. Thus, the measurements are not relative anymore and are considered as absolute. The calibrated product makes it possible to compare ground motion measurements from adjacent areas belonging to different products of the same level. EGMS Calibrated is visualised as a vector map of measurement points, colour-coded by average velocity, and distributed to users in comma-separated values format. Each point is associated with a time series of displacement, i.e. a plot with values of displacement per acquisition of the satellite. The product is generated for both ascending and descending orbits.