The methodology used for monitoring has been applied in the Baltic Sea Region since 2011 and is based on the recommendations issued by UNEP/IOC in 2009. It has been further developed, considering the guidelines of HELCOM, OSPAR, and recommendations of the European Commission's JRC Marine Litter working group. Marine beach litter monitoring data were gathered from 15 beaches. Monitoring of 13 sites was conducted three times during the spring, summer, and autumn periods, while two beaches were visited once (in the spring) and then replaced with other beaches (no further marine litter monitoring was carried out at these sites in 2023).

All major businesses that have a discharge point into water and according to the Environmental Code are classified as environmentally hazardous are also responsible for taking samples of the water they discharge themselves. Such a business can, for example, be an industry, a sewage treatment plant or a large farm. Since the water that a discharge point empties into is called a recipient, this sampling is called recipient control. The municipality conducts water quality sampling at all discharge points from the treatment plants. Through this sampling, we measure, among other things, depth of view, oxygen content, levels of nutrients and more. The purpose of the investigation is to describe and monitor the environmental impact on the recipient from Osthamar's treatment plant and urban area.

Alien species from a field observation

This dataset assembles historical information existing in public and private documentary archives. Taken together, these data contribute to the building of a knowledge base of the historical presence, extent and biogenic formations of European flat oyster ecosystems prior to and during the intensification of bottom fishing activities. To identify and recover such information requires significant resources and expertise. The establishment of a Historical Ecology Working Group under the umbrella of the Native Oyster Restoration Alliance in early 2020 presented a unique opportunity to coalesce interdisciplinary expertise and resources from multiple European countries to collate and interrogate historical data sources. To date, this is the only known dataset that evidences the past distribution, extent and characteristics of this seabed ecosystem across its full biogeographic range. The described datasets present qualitative and quantitative extracts from written records published between 1524-2022, which show: (1) estimated locations of past oyster fisheries and/or reef habitat across its full biogeographical range, with associated levels of confidence; (2) recorded extent of past reef habitats, and; (3) species associated with these habitats. This comprehensive historical analysis demonstrates that oyster reefs were once a dominant three-dimensional feature along much of the European coastline and some shallow shelf seas.

This dataset contains nifH gene copy numbers, growth rates, and grazing mortality rates of the major unicellular cyanobacterial diazotroph taxa (UCYN-A1, -A2/3/4, -B and -C), and growth rates and grazing mortality rates of total phytoplankton community (inferred by chlorophyll a) in the South China Sea and the Luzon Strait. The associated physicochemical factors including temperature, salinity, nitrate+nitrite, ammonium, phosphate, and chlorophyll a are also available in this dataset. All these data were collected during a research cruise (Cruise No. kk1801) aboard the R/V Tan Kah Kee in early February 2018. Important Note: This submission has been initially submitted to SEA scieNtific Open data Edition (SEANOE) publication service and received the recorded DOI. The metadata elements have been further processed (refined) in EMODnet Ingestion Service in order to conform with the Data Submission Service specifications.

The dataset provides full-coverage maps of the habitats and biotopes in the German Baltic Sea at a resolution of 1 x 1 km for the entire region and at 50 x 50 m resolution in specific areas. We combined geological and biological surveys to map the seabed and collected extensive data to classify different habitats and their associated benthic communities. Using newly established national guidelines and predictive habitat modelling, we produced highly accurate maps. The maps show Broad and Other Habitat Types (including Habitats Directive Annex I habitat types) according to the Marine Strategy Framework Directive (MSFD) as well as HELCOM HUB biotope types. Detailed documentation is available at: https://doi.org/10.3390/biology13010006

This dataset includes data of plastic litter collected by citizens and students during 12 campaigns that were organised in Crete (Greece) during the period May 2022 – May 2023. The campaigns were organized within the framework of the NAUTILOS Horizon 2020 project. More specifically the number of plastic litter items per category (using the J code List of the EMODnet Chemistry Thematic Lot n°4) was recorded together with information about the location, date, surface area covered, data contributor and some environmental characteristics (sediment, weather, surroundings).

Dataset gives a baseline for micro- and mesoplastic pollution distribution in 24 beaches along the Latvian coastline (Northern Europe, Baltic states), filling the existing knowledge gap and contributing to the global understanding of microplastic particles presence, transport, and the processes governing its dynamics. We also highlight citizen science as a fundamental tool to support data collection and raise awareness about microplastic pollution, as samples were collected by up to 250 volunteers during organized campaigns (Dimante-Deimantovica et al. 2023).

Data obtained on Saidia beach

These data were collected during the period of 27/11/2020 and 18/11/2022 from the Heraklion Coastal Buoy station North of Crete. The dataset is comprised of samples collected and analysed under specific dates from this station while being part of the European project: "JERICO S3 (Joint European Research Infrastructure of Coastal Observatories: Science, Service, Sustainability)".