Beach Litter count data collected across 10 beaches of the Belgian coast in 2023 and 2024 by volunteers of the citizen science association Proper Strand Lopers. One of the key indicators of abundance, composition and trends of litter in the marine environment is the amount on beaches. OSPAR monitors litter on 100m stretches at over 70 beaches in the North-East Atlantic following common monitoring guidelines. The monitoring records litter in 112 predefined litter items in 11 types: Plastic / polystyrene, Metal, Paper and cardboard, Wood, Sanitary waste, Cloth, Rubber, Glass, Pottery/ceramics, Medical waste and Faeces.

This dataset contains marine organic matter source samples, artificial mixtures of known composition, and compound-specific nitrogen stable isotope data of amino acids (δ¹⁵N-AA). Source materials include phytoplankton, zooplankton, and faecal pellets from the marine fouling species Mytilus edulis and Metridium senile. Samples were collected and processed in the laboratory under controlled conditions. Artificial mixtures were prepared by combining source materials in defined proportions to generate experimental samples representing multiple marine organic matter source combinations. Metadata describing sample collection, preparation, and mixture composition are included. Compound-specific nitrogen isotope ratios of individual amino acids were measured using stable isotope analysis. The dataset includes isotopic measurements for all source samples and artificial mixtures, along with associated metadata required to document sampling, laboratory preparation, and analytical procedures.

UNDER EMBARGO - This dataset is part of BE/2023 sampling campagn in SW Greenland fjords (Igaliku and Tunulliarfik). Samples for DNA extraction were collected along fjord transects at several depths of the water column. The focus of the study was to determine the taxonomical composotion of protist community in two Arctic fjords.

UNDER EMBARGO - This dataset is part of BE/2023 sampling campagn in SW Greenland fjords (Igaliku and Tunulliarfik). Pelagic community was analysed using Imaging Flow Cytometry (iFCM) with an ImageStream®X Mk II. Cells were grouped into functional size classes—pico-, nano- and microplankton—according to measured cell length. Cells lacking chlorophyll autofluorescence were classified as heterotrophic or chemotrophic organisms, including heterotrophic picoplankton/bacteria (HP; ≤2 µm) and heterotrophic nanoplankton (HN; 2–20 µm). No larger heterotrophs (>20 µm) were visually detected. Autofluorescent cells were considered phototrophic, although this fraction may also include mixotrophic taxa, and comprised picophytoplankton (AP; ≤2 µm), nanophytoplankton (AN; 2–20 µm), and microphytoplankton (AMicro; 20–100 µm). To estimate the biovolume of each plankton class, the two-dimensional cell surface area measured by the IDEAS® imaging software was multiplied by the mean cell width, assuming that cell width approximates the third spatial dimension. Carbon biomass was subsequently derived from biovolume using established carbon–volume relationships. For the HP fraction, carbon content was estimated using the bacterial conversion proposed by Romanova and Sazhin (2010), where volume is expressed in µm³. Although the HP fraction may also include heterotrophic picoeukaryotes, and its biomass may therefore be partly underestimated, this conversion was applied because the fraction was assumed to be numerically dominated by bacteria. For the other protist groups, carbon biomass was derived following Menden-Deuer and Lessard (2000). Carbon values were converted from pg C cell⁻¹ to carbon biomass (µg C L⁻¹) based on cell abundance.

This dataset is part of the 2018 Belgian submission for the Marine Strategy Framework Directive (MSFD) linked to descriptor 7, criterion 1. This dataset describes the impact of an offshore windmills farm on the hydrodynamics in the Belgian part of the North Sea (BPNS). Originally, it is a NetCDF file with the results of the reference simulation made with the COHERENS (COupled Hydrodynamical Ecological model for REgioNal Shelf seas) hydrodynamic model only forced by tides (no wind effect). Model resolution : ~ 12.5m. It contains both the reference situation which is a simulation without any windmill and the modeling result of the influence by the windmills on the hydrodynamic in the BPNS. The dataset contains the results on the most inner nested grid level for one reference spring-neap cycle: - hourly sea surface elevation - hourly bottom shear stress - hourly 3D horizontal velocity components (u,v) - hourly 3D eddy viscosity - time-averaged bottom shear stress over the reference spring-neap cycle - percentile 90 of the bottom shear stress for the reference spring-neap cycle - percentile 90 of the specific kinetic energy at the sea bed - accumulated time during which sedimentation processes are dominant - accumulated time during which re-suspension processes are dominant.

UNDER EMBARGO - This dataset originates from the BE/2023 sampling campaign conducted in southwest Greenland fjords (Igaliku and Tunulliarfik) and quantifies grazing impacts by micro- and mesozooplankton on phytoplankton and heterotrophic microbial communities (including bacteria) in two fjord systems characterized by contrasting glacial regimes. Grazing and microbial growth rates were estimated using two-point dilution experiments (two-point dilution experiments), alongside experiments assessing mesozooplankton and copepod grazing on both phytoplankton and microzooplankton. Community responses were resolved using imaging flow cytometry, enabling the identification of plankton functional groups (autotrophic, mixotrophic, and heterotrophic) and size classes. The dataset also includes measurements of chlorophyll a variability determined by high-performance liquid chromatography. Overall, the dataset supports analyses of trophic interactions and grazing dynamics across the microbial food web under differing glacier-influenced environmental conditions.

This dataset is part of the 2018 Belgian submission for the Marine Strategy Framework Directive (MSFD) linked to descriptor 1, criterion 3. Occurrence of breeding seabirds describes the observation of eight seabird species (Common tern, Black-headed Gull, Herring Gull, Common Gull, Small Black-backed Gull, Yellow-legged gull, Big Stern and Little Stern) on the Belgian coast between 1992 and 2015.

This dataset is part of the 2018 Belgian submission for the Marine Strategy Framework Directive (MSFD) linked to descriptor 11, criterion 1. This dataset describes the impulsive noise generated during percussion pile emplacement for offshore wind farm construction and unexploded ordnance (UxO) explosions. Impulsive underwater sound (pressure) was measured during pile driving operations in Belgian waters, for different types of foundations (monopiles of different diameters, foundations of ducts with a smaller diameter) and hydraulic hammers with different energy powers. The results of measurements at Bligh Bank and Thornton Bank, with a resulting extrapolation of zero to peak noise level (Lz-p) at 750m and Sound Exposure Level (SEL) (no mitigation measures deployed), are presented (Norro et al., 2013).

This dataset is part of the 2018 Belgian submission for the Marine Strategy Framework Directive (MSFD) linked to descriptor 8, criterion 1. This dataset is part of the 2018 Belgian submission for the Marine Strategy Framework Directive (MSFD) linked to descriptor 8, criterion 1. This dataset contains the concentrations of priority substances (tributyltin, polycyclic aromatic hydrocarbons (PAHs) and polybrominated diphenylethers (PBDEs)) measured in the water column at three stations in the Belgian part of the North Sea between 2009 and 2014 (as reported in the frame of the WFD in 2016). In total, 45 different parameters are measured.

UNDER EMBARGO - This dataset is part of BE/2023 sampling campagn in SW Greenland fjords (Igaliku and Tunulliarfik). Samples for DNA extraction were collected along fjord transects at several depths of the water column. The focus of the study was to determine the taxonomical composotion of bacterial community in two Arctic fjords.