Number of days with air temperature crossing zero degrees (tasmax>0 og tasmin<0) for year or season, for the period 1991-2020, at a 1x1 km spatial resolution.

The High Resolution Layer Cropping Patterns - Main Crop Emergence (CPMCE) raster product provides the emergence date of the main (annual) crop expressed in DOY (day of year). 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)

Mean wind speed (ca 10 meters above ground) for year or season, for the period 1991-2020, at a 1x1 km spatial resolution.

The High Resolution Layer Cropping Patterns - Main Crop Duration (CPMCD) raster product provides the duration (in days) of the growing season for the main (annual) crop. 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)

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.

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:

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.

99.7 percentile of daily wind speed, for the period 1991-2020, at a 1x1 km spatial resolution.

Number of days with an average air temperature below zero degrees (tas <0 °C) for the period 1991-2020, at a 1x1 km spatial resolution. Based on daily temperature normals.

99.7 percentile of daily precipitation for year or season, for the period 1991-2020, at a 1x1 km spatial resolution. (kg m-2 equals mm)