2024
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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)
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Average difference between maximum and minimum temperature (approx. 2 meters above the ground) for year or season, for the period 1991-2020, at a 1x1 km spatial resolution.
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99 percentile of daily wind speed, for the period 1991-2020, at a 1x1 km spatial resolution.
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<p>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>
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Number of events with maximum temperature above or equal to 27 degrees (tasmax>=27°C) five days in a row for the period 1991-2020, at a 1x1 km spatial resolution.
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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)
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The High Resolution Layer Cropping Patterns - Fallow Land Duration (CPFLD) raster product provides information on the duration of fallow land periods, expressed in days, over a five-year period. 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)
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This product displays for Mercury, 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.
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EMODnet Chemistry aims to provide access to marine chemistry datasets and derived data products concerning eutrophication, acidity and contaminants. The importance of the selected substances and other parameters relates to the Marine Strategy Framework Directive (MSFD). This aggregated dataset contains all unrestricted EMODnet Chemistry data on potential hazardous substances, despite the fact that some data might not be related to pollution (e.g. collected by deep corer). Temperature, salinity and additional parameters are included when available. It covers the Norwegian Sea, Barents Sea, Greenland Sea and Icelandic Waters. Data were harmonised and validated by the 'Institute of Marine Research - Norwegian Marine Data Centre (NMD)' in Norway. The dataset contains water and sediment profiles. The temporal coverage is 1974–2011 for water measurements and 1974–2021 for sediment measurements. Regional datasets concerning contaminants are automatically harvested and the resulting collections are harmonised and validated using ODV Software and following a common methodology for all sea regions ( https://doi.org/10.6092/8b52e8d7-dc92-4305-9337-7634a5cae3f4). Parameter names are based on P01 vocabulary, which relates to BODC Parameter Usage Vocabulary and is available at: https://vocab.nerc.ac.uk/search_nvs/P01/. The harmonised dataset can be downloaded as as an ODV spreadsheet, which is composed of a metadata header followed by tab separated values. This spreadsheet can be imported into ODV Software for visualisation (more information can be found at: https://www.seadatanet.org/Software/ODV). In addition, the same dataset is offered also as a txt file in a long/vertical format, in which each P01 measurement is a record line. Additionally, there are a series of columns that split P01 terms into subcomponents (substance, CAS number, matrix...).This transposed format is more adapted to worksheet applications (e.g. LibreOffice Calc).
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<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>
Arctic SDI catalogue