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:

Number of days with maximum temperature above or equal to 20 degrees (tasmax>=20 °C) for the period 1991-2020, at a 1x1 km spatial resolution.

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 CCD. 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)

Percentage fraction of precipitation on very wet days (number of days with precipitation exceeding the 95 percentile) for year or season, for the period 1991-2020, at a 1x1 km spatial resolution.

The High Resolution Layer Broadleaved Density (BCD) dataset provides information on the percentage of broadleaved 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)

This product displays for Triphenyltin, 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.

This product displays for Tributyltin, positions with values counts that have been measured per matrix for each year and are present in EMODnet regional contaminants aggregated datasets, v2024. The product displays positions for every available year.

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.

This product displays for Mercury, positions with values counts that have been measured per matrix for each year and are present in EMODnet regional contaminants aggregated datasets, v2024. The product displays positions for every available year.

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.