https://researchdata.se/en/catalogue Search results en This dataset provides species occurrence records from a biodiversity survey of low-trophic aquaculture sites cultivating blue mussels (Mytilus edulis), carried out within the COOL BLUE (https://cordis.europa.eu/project/id/101112747) project. Records were obtained using two complementary monitoring approaches: eDNA metabarcoding, based on water samples and Autonomous Reef Monitoring Structures (ARMS) (https://www.embrc.eu/marine-monitoring-and-modelling/) bulk samples, and baited remote underwater video (BRUV). For the BRUV approach, the associated video data were also used to train a machine learning model to identify the recorded taxa. Further information on the methodology and procedure is available here (https://zenodo.org/records/14713926) . Tue, 24 Mar 2026 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/gbif-sweden-10-15468-xk2y9u https://researchdata.se/en/catalogue/dataset/gbif-sweden-10-15468-xk2y9u University of Gothenburg Xhoni Dalipi Mats Heitzmann Abstract of the Journal Article: "Experimental exposure of blue mussel beds to soft and rigid macroplastics in the winter reveals litter entrapment but no physiological effects" Macroplastic items like bags, bottles, and containers dominate marine litter, yet their effects on habitats and ecosystems remain understudied. Blue mussels (Mytilus edulis, Mytilus trossulus) form beds that support biodiversity and provide important ecosystem services. The goal of this work was to investigate in an experiment how planar plastic debris, rigid or soft, influences mussel aggregates with regard to their structure and their physiological performance. Mussel individuals were collected in the Kerteminde Fjord and were transferred to a laboratory where they were allowed to form small aggregates on PVC plates (30 individuals each). During formation, half of the aggregates were polluted with planar plastic litter of a defined type (soft PE bags or rigid fragments of PET bottles) and amount, while the other half remained without incorporated macroplastics. All aggregates were then deployed in the fjord for 14 weeks in the winter 2020/21. Afterwards, we measured the cumulative filtration and respiration rates, filtration-to-respiration ratios, condition indices, growth rates, aggregate rugosities, and byssus strengths. Rigid plastics significantly enhanced aggregate rugosity, while all physiological responses as well as byssus formation remained unchanged. The latter might, at least partly, have been due to the fact that we conducted the experiment in winter, when mussel metabolism is substantially reduced. Notably, soft plastics were often concealed within aggregates, and this was presumably caused by the movements of the mussels. These findings suggest that mussel beds may act as sinks for plastic litter, while soft and film-like litter items can be fully embedded in their three-dimensional matrix. Explanation of the single files: Contrast_Film.csv: Contrast Analysis between blue mussel aggregates with and without macroplastics Controls_Plotting.csv: for Plotting the controls without plastics Hydrography_E1.R: for plotting and analyzing the Hydrography Hydrography.csv: for plotting and analyzing the Hydrography Main Data Analysis.R: all statististical analyses conducted Plotting_R.R: all plotting conducted Summary_R_Contrast Analysis_Contrast1.csv: contrast analysis between control aggregates without plastics and aggregates with plastics Summary_R_Contrast Analysis_Contrast2.csv: contrast analysis between control aggregates without plastics and aggregates with plastics Summary_R_Contrast Analysis_Contrast3.csv: contrast analysis between control aggregates without plastics and aggregates with plastics Summary_R_Contrast Analysis_Contrast4.csv: contrast analysis between control aggregates without plastics and aggregates with plastics Summary_R_Contrast Analysis_Contrast5.csv: contrast analysis between control aggregates without plastics and aggregates with plastics Summary_R_plot_Control: for plotting control aggregates without plastics Summary_R_plot_Plastic: for plotting aggregates with microplastics Summary_R_plot.csv: for plotting Summary_R.csv: for analyses Summary_WO_Control_R.csv: for analyses without control Mon, 13 Oct 2025 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/doi-10-17044-scilifelab-29686349 https://researchdata.se/en/catalogue/dataset/doi-10-17044-scilifelab-29686349 University of Gothenburg Luisa Kumpitsch Mark Lenz Annika Schindel Abundance of bivalves in shallow soft-bottom in the area around Tjärnö, Rossö and Öddö in the Northern part of Bohuslän (Data_bivalves). Data from 25 sites that have been sampled by 5 replicate each. Data for individual replicates are given in number of individuals per square meter. Coordinates of sites and date of sampling in separate file (Data_sites). Sampling by pushing a plastic core (31cm diameter) 20 cm into the sediment and all material dug out and sieved through a 4mm mesh. Species names updated to current valid names on March 25th, 2025 . Data collected as part of degree project. Dataset publication was supported by Mistra Co Creating Better Blue (C2B2). Wed, 23 Apr 2025 14:05:08 GMT https://researchdata.se/en/catalogue/dataset/2025-110 https://researchdata.se/en/catalogue/dataset/2025-110 University of Gothenburg Per Bergström Supplementary tables for the Review article "Connectivity and Population Structure in a Marginal Sea - a Review" (https://doi.org/10.1111/ddi.70056). Contains information on connectivity and population structure within marine species inhabiting the Skagerrak sea, summarised from scientific studies published between the years 1990 and 2023. Table S1: List of all 484 scientific studies that were screened, as well as information regarding whether they were included in the literature review. Table S2: Contains extracted data from the 172 scientific studies, published between 1990 and 2023, that were reviewed with regard to connectivity and population structure in the Skagerrak. The data includes information about both the studies' methodology (such as scientific discipline, spatial and temporal scale, and sample size) and results (such as which populations were identified and estimated connectivity between different regions). Table S3: Detailed summary of the scientific studies that studied contemporary connectivity on a "large" scale (between the Skagerrak sea and adjacent seas). For species with information from several studies, a concensus result for the species was created. Table S4: Detailed summary of the scientific studies that studied contemporary connectivity on a "small" scale (within the Skagerrak sea). For species with information from several studies, a concensus result for the species was created. Table S5: Detailed summary of the scientific studies that studied population structure, both within the Skagerrak Sea and between the Skagerrak and adjacent seas. For species with information from several studies, a concensus result for the species was created. Tables S6-S7: Settings for the BARRIER analysis conducted in the study. For more detailed descriptions of the content we refer to the text in the original study. This dataset is listed as "Deliverable 2.2" of the MARHAB project (Horizon Europe, grant number 101135307). Mon, 10 Nov 2025 12:52:33 GMT https://researchdata.se/en/catalogue/dataset/2025-294 https://researchdata.se/en/catalogue/dataset/2025-294 University of Gothenburg Simon Henriksson Per Erik Jorde Charlotte Berkström Guldborg Søvik Pierre De Wit Halvor Knutsen Even Moland Carl André Marlene Jahnke