Size structure of populations (shell length in mm) and oocyte size (in µm) distribution of three hydrothermal vent gastropod species (Lepetodrilus schrolli, L. fijiensis and Shinkailepas tollmanni) of the South West Pacific back-arc basins. Individuals were collected in Bathymodiolus spp. and Ifremeria nautilei habitats at several vent sites in the Manus, North Fiji, Futuna and Lau back-arc basins during the CHUBACARC cruise in 2019. These data were collected through stereoscopic microscope observations and hostological analyses on several individuals of each species. 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.

During the late spring and summer of 2020, the SLU Aqua Sailor drone sails between the great Swedish islands of Öland and Gotland and collects data on the amount of fish and zooplankton. The drone survey partly takes place at the same time as the fisheries survey Sprat Acoustic Survey (Spras). Spras collects information on herring and sprat in the Baltic Sea, and is carried out with the research vessel R/V Svea. By matching data from Spras with data from the sailing drone, the researchers hope to gain better knowledge of how the Baltic Sea ecosystem works. This was repeated in 2022-2023. In 2019, SLU Aqua Sailor was used around the islands Karlsöarna in the Baltic Sea during 42 days between April and July 2019. The same survey took place In 2020 and 2021

The Institute of Estuarine and Coastal Studies (IECS) was commissioned by Forewind Ltd to carry out a Phase 1 biotope survey of the intertidal zone located between the towns of Redcar and Marske-by-the-Sea, Tees estuary, Teesside. This area has been identified as a preferred landfall location for export cables, with the ultimate aim of connecting offshore wind farms off the Teesside coastline to the National Grid. The intertidal survey was completed as part of the development of the Environmental Impact Assessment (EIA) required from Forewind Ltd to continue with the proposal to use this area as a landfall site.

The investigations of Blekinge coast started in 1978. In 1990 the program "Blekinge Kustvattenkontrollprogram." water control program, was formed, building on the stations sampled earlier, but with extended sampling.

The investigations of Blekinge coast started in 1978. In 1990 the program "Blekinge Kustvattenkontrollprogram" Blekinge Coastal water control programme, was formed, building on the stations sampled earlier, but with extended sampling.

The dataset includes time-series of Posidonia oceanica production over ~20 years (1997 -2018) at sixty sites in the Greek Seas. The dataset also include environmental variables for the same sites and time -period (i.e., sea surface temperature, sea surface temperature of August, Chlorophyll a, Suspended particulate matter, Secchi depth)

An intensive study at a mussel farm at Tångesund 2016-2017. Here, the connection between the stratification of the water mass, currents, the presence of harmful algae and the presence of algal toxins in mussels will be investigated. A coastal buoy was placed next to the mussel farm with sensors for temperature, salt and oxygen at five different depths. At the surface there was also be a sensor for chlorophyll and turbidity.

UBEST (Understanding the biogeochemical buffering capacity of estuaries relative to climate change and anthropogenic inputs) project aimed to improve the global understanding of the biogeochemical buffering capacity of estuaries and their susceptibility to future scenarios of anthropogenic inputs and climate change, by deploying “coastal observatories” in two Portuguese case studies: the Tagus estuary and the Ria Formosa, a coastal lagoon. As part of this project, a water quality online monitoring station was installed in the Ria Formosa - in the Cais do Combustível of the Port of Faro (37º00’9.92’’ N, 7º55’16.28’’ W, depth 2,75 m). The station was equipped with an YSI EXO 2 multiparameter probe, measuring water temperature, conductivity, salinity pH, dissolved oxygen, turbidity and chlorophyll a, and an OBSERMET OMC-045-III data logger, for data acquisition and transmission. 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.

We recently published the first draft genome of T. lutea obtained with the Illumina short-read technology. While this technology has a very low sequencing error rates, the assemblers are known to misassemble the long repeated sequences, resulting into the fragmentation of the genome assembly. The genome of T. lutea was re-sequenced with the long-read technology Pacific Bioscience. Indeed, long-read assemblers show efficiency to resolve the assembly of long repeated elements such as TEs. However, this technology have to date a high sequencing error rates and its combination with short-read Illumina data is became a common method to overcome this error rate. A de novo genome assembly was perform from the long-reads and was improved with Illumina short-read data, used in the first genome assembly version. The de novo genome of T. lutea is composed of 193 contigs and has a size of 82 Mb. A gain of around 30 Mb was obtained (+34%), compared to the previous genome assembly, having a size of 54 Mb and composed of 7,659 contigs. The size of the coding regions has fewly increased between the both genome versions. While the de novo genome assembly encodes for ~16,000 genes, corresponding to a coding region length of 28 Mb, the previous gene proportion of the draft genome version was of 25 Mb. This suggest that the new assembled regions are mostly repeated elements. This new genome version is by far away more accurate than the previous one and was suitable to properly detect and annotate the TE content. To identify potential autonomous TEs, we designed a pipeline named PiRATE (Pipeline to Retrieve and Annotate TEs) and conducted an accurate TE annotation in a de novo genome of T. lutea. We established that its genome is composed of 15.9% and 4.9% of Class I and Class II TEs respectively. Among them 3.8% and 15.95% correspond to potentially autonomous and non-autonomous TEs respectively.

Hard substrate benthic communities at offshore wind park turbines poles