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40 results for “Shellfish”
Human-wildlife interactions on the tidal flats of the Bijagós archipelago: does shellfishing affect migratory shorebirds?
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Mobilisation of data to stakeholder communities: Bridging the research-practice gap using a commercial shellfish species model
<p>Knowledge mobilisation is required to "bridge the gap" between research, policy and practice. This activity is dependent on the amount, richness and quality of the data published. To understand the impact of a changing climate on commercial species, stakeholder communities require better knowledge of their past and current situations. The common cockle (<i>Cerastoderma edule</i>) is an excellent model species for this type of analysis, as it is well-studied due to its cultural, commercial and ecological significance in west Europe. Recently, <i>C. edule</i> harvests have decreased, coinciding with frequent mass mortalities, due to factors such as a changing climate and diseases. In this study, macro and micro level marine historical ecology techniques were used to create datasets on topics including: cockle abundance, spawning duration and harvest levels, as well as the ecological factors impacting those cockle populations. These data were correlated with changing climate and the Atlantic Multidecadal Oscillation (AMO) index to assess if they are drivers of cockle abundance and harvesting. The analyses identified the key stakeholder communities involved in cockle research and data acquisition. It highlighted that data collection was sporadic and lacking in cross-national/stakeholder community coordination. A major finding was that local variability in cockle populations is influenced by biotic (parasites) and abiotic (temperature, legislation and harvesting) factors, and at a global scale by climate (AMO Index). This comprehensive study provided an insight into the European cockle fishery but also highlights the need to identify the type of data required, the importance of standardised monitoring, and dissemination efforts, taking into account the knowledge, source, and audience. These factors are key elements that will be highly beneficial not only to the cockle stakeholder communities but to other commercial species.</p>
Data from: Microencapsulated diets to improve bivalve shellfish aquaculture
Aquaculture is the fastest growing food sector and feeds over 3 billion people. Bivalve shellfish aquaculture makes up 25% of global aquaculture production and is worth annually US$19 billion, but continued growth is currently limited by suboptimal diets and limited tools for disease control. New advances in microencapsulation technology could provide an effective way to overcome these biological limitations. This study demonstrated that a new formulation of microencapsulated diet known as BioBullets could be ingested by a commercially farmed bivalve; the blue mussel Mytilus edulis. Microparticles could be captured by mussels with similar efficiency to natural foods. Microparticles too large for ingestion were rejected in psuedofaeces. Microparticles were successfully ingested and broken down by the gut. Further work is needed to assess the impact of BioBullets diets on bivalve growth. There is now an exciting opportunity to tailor the composition of microencapsulated diets for specific applications to improve production output and efficiency in the commercial bivalve shellfish industry.
Elemental composition of intertidal shellfish sandbanks sediment samples within Ría de Arousa, Spain
<p>The GEOMA Research group from the University of Vigo implements a solution to improve the knowledge of the sediment dynamics, the stability of the ecosystem substratum, and its response to the predicted Climate Change outcome (INTERM). The INTERM solution is based on sedimentological monitoring of sandbanks at specific locations of clam exploitation in the Ría de Arousa (Pontevedra, Spain).</p> <p>Here we show the results of X-ray Fluorescence analysis carried out on the bulk fraction of sediment samples collected in six locations with current (Camaxe, Xastelas, O Sarrido, Lavanqueira, and O Bohido) or stopped (Lombos de Ulla) shellfish activity. The analyses were conducted at the CACTI facilities (Uvigo) using an X-ray Fluorescence Spectrometer by Wave Scattering (Siemens SRS3000).</p> <p>This study is part of the “Accelerating and upscaling transformational adaptation in Europe: demonstration of water-related innovation packages (TRANSFORMAR)” coordinated by the Universiteit Antwerpen and funded by the European Union’s Horizon program (H2020_101036683).</p> <p>In this version:</p> <ul> <li> New measurements added</li> <li>Order of Xastelas samples (May 2023) corrected</li> <li>Minor errors corrected</li> </ul>
Workshop with shellfishers from Combarro (Galicia, Spain)
<p>This video is a summary of the workshop carried out with shellfishers from Combarro, in Galicia (Spain), on June 30, 2021. The objectives of the workshop were threefold: (1) to provide an up-to-date overview of the main ecosystem services supplied by seagrasses, including benefits to shellfishing activity; (2) to facilitate dialogue about local interactions between shellfishing activity and <em>Zostera </em>meadows; and (3) to discuss potential proposals for management and improvement of the relationship between shellfishers and <em>Zostera</em>. </p> <p>The video is part of the Supplemental Material from a paper published in Marine Policy Journal, entitled<strong> "Disentangling interactions between seagrasses and small-scale fisheries using scientific and local traditional knowledge"</strong>, which is framed within the ZEUS project (Understanding the role of <em>Zostera </em>beds in maintaining populations of shellfish resources in a climate change scenario). Please check the paper for detailed information.</p>
Ocean acidification stress index for shellfish (OASIS): Linking Pacific oyster larval survival and exposure to variable carbonate chemistry regimes
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Data from: Determining the advantages, costs, and trade-offs of a novel sodium channel mutation in the copepod Acartia hudsonica to paralytic shellfish toxins (PST)
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Data from: Development of SNP genotyping arrays in two shellfish species
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Data from: Microencapsulated diets to improve bivalve shellfish aquaculture
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Mobilisation of data to stakeholder communities: Bridging the research-practice gap using a commercial shellfish species model
Open the record for dataset details and reuse information.
Differences in Toxic Response induced by three Variants of the Diarrheic Shellfish Poisoning Phycotoxins in Human Intestinal Caco-2 Cells
GEO Series GSE159293. Homo sapiens. 24 samples. Type: Expression profiling by array.
Do Patients With Fish or Shellfish Allergy Tolerate the Consumption of Fish Oil Supplements? A Clinical Study
ClinicalTrials.gov study NCT05677074. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Selenium Status Measured in Blood After a Higher Intake of Fish and Shellfish - a Randomized Dietary Intervention Study
ClinicalTrials.gov study NCT01224249. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Supporting Shellfish Aquaculture in the Chesapeake Bay using Artificial Intelligence to Detect Poor Water Quality through Field Sampling and Remote Sensing
We are collecting and analyzing biological, chemical, and physical variables in and above the water at target sites and in the lab, looking for hyperspectral proxies that covarying with pollutants. This project is applying an AI model to address water quality, using datasets collected around the Bay in combination with remotely sensed data during targeted field work to support the need to more effectively sort through disparate data sets to identify areas of poor water quality that result in shellfish bed closure.
Supporting Shellfish Aquaculture in the Chesapeake Bay using Artificial Intelligence to Detect Poor Water Quality through Sampling and Remote Sensing
This use-inspired NASA AIST project collects biological, chemical, and physical variables in and above the water at Chesapeake Bay sites for analysis within the lab. These ground-truth data are then used for data labeling, in combination with remotely sensed data, within a machine learning model trained to identify water quality challenges of resource managers that could result in shellfish bed closures, for example.
Sediment grain size dataset of intertidal shellfish sandbanks within Ría de Arousa, Spain
<p>The GEOMA Research group from the University of Vigo implements a solution to improve the knowledge of the sediment dynamics, the stability of the ecosystem substratum, and its response to the predicted Climate Change outcome (INTERM). The INTERM solution is based on sedimentological monitoring of sandbanks at specific locations of clam exploitation in the Ría de Arousa (Pontevedra, Spain).</p> <p>Since 2022, we collected sediments in seven locations with current (Camaxe, Xastelas, O Sarrido, Fefiñans, O Bohido, and Lavanqueira) or stopped (Lombos de Ulla) shellfish activity. The sediment grain size distribution was determined by dry and wet sieving using meshes of 2, 1, 0.5, 0.25, 0.125, and 0.063 mm. We separate the sediment grain size fraction larger and smaller than 0.063mm by wet sieving. The grain size distribution of the grains larger than 0.063 was determined by dry sieving whereas for the grains smaller than 0.063 by the pipette method (see Folk, R. L. (1980). <em>Petrology of sedimentary rocks</em>. Hemphill publishing company).</p> <p>This study is part of the “Accelerating and upscaling transformational adaptation in Europe: demonstration of water-related innovation packages (TRANSFORMAR)" coordinated by the Universiteit Antwerpen and funded by the European Union’s Horizon program (H2020_101036683).</p> <p><br>This version:</p> <ul> <li><span lang="EN-GB"><span><span> </span></span></span><span lang="EN-GB">Includes new grain size measurements performed on samples collected in February 2025</span></li> <li><span lang="EN-GB"><span><span> </span></span></span><span lang="EN-GB">Corrects bugs detected in the weight of the fine fraction. Additionally, 12 sample distributions (Table 1) have been replaced with new measurements due to processing errors</span></li> <li><span lang="EN-GB"><span><span> </span></span></span><span lang="EN-GB">Corrects minor errors</span></li> </ul> <p><span lang="EN-GB">Table 1. Sample distributions replaced with new measurements</span></p> <table style="margin-left: 18pt; border-collapse: collapse; height: 444px; width: 33.409%;"> <tbody> <tr style=""> <td style="width: 35.3921%; padding: 0cm 5.4pt;"> <p><strong><span lang="EN-GB">Bank</span></strong></p> </td> <td style="width: 26.7176%; padding: 0cm 5.4pt;"> <p><strong><span lang="EN-GB">Sample</span></strong></p> </td> <td style="width: 37.821%; padding: 0cm 5.4pt;"> <p><strong><span lang="EN-GB">Date (yy/mm/dd)</span></strong></p> </td> </tr> <tr style=""> <td style="width: 35.3921%; padding: 0cm 5.4pt;"> <p><span lang="EN-GB">Camaxe</span></p> </td> <td style="width: 26.7176%; padding: 0cm 5.4pt;"> <p><span lang="EN-GB">CX7</span></p> </td> <td style="width: 37.821%; padding: 0cm 5.4pt;"> <p><span lang="EN-GB">2022/10/25</span></p> </td> </tr> <tr style=""> <td style="width: 35.3921%; padding: 0cm 5.4pt;"> <p><span lang="EN-GB">Camaxe</span></p> </td> <td style="width: 26.7176%; padding: 0cm 5.4pt;"> <p><span lang="EN-GB">CXPlaya</span></p> </td> <td style="width: 37.821%; padding: 0cm 5.4pt;"> <p><span lang="EN-GB">2022/10/25</span></p> </td> </tr> <tr style=""> <td style="width: 35.3921%; padding: 0cm 5.4pt;"> <p><span lang="EN-GB">Camaxe</span></p> </td> <td style="width: 26.7176%; padding: 0cm 5.4pt;"> <p><span lang="EN-GB">CX8</span></p> </td> <td style="width: 37.821%; padding: 0cm 5.4pt;"> <p><span lang="EN-GB">2022/10/25</span></p> </td> </tr> <tr style=""> <td style="width: 35.3921%; padding: 0cm 5.4pt;"> <p><span lang="EN-GB">Xastelas</span></p> </td> <td style="width: 26.7176%; padding: 0cm 5.4pt;"> <p><span lang="EN-GB">XLT2</span></p> </td> <td style="width: 37.821%; padding: 0cm 5.4pt;"> <p><span lang="EN-GB">2022/10/25</span></p> </td> </tr> <tr style=""> <td style="width: 35.3921%; padding: 0cm 5.4pt;"> <p><span lang="EN-GB">Xastelas</span></p> </td> <td style="width: 26.7176%; padding: 0cm 5.4pt;"> <p><span lang="EN-GB">XLT3</span></p> </td> <td style="width: 37.821%; padding: 0cm 5.4pt;"> <p><span lang="EN-GB">2022/10/25</span></p> </td> </tr> <tr style=""> <td style="width: 35.3921%; padding: 0cm 5.4pt;"> <p><span lang="EN-GB">Xastelas</span></p> </td> <td style="width: 26.7176%; padding: 0cm 5.4pt;"> <p><span lang="EN-GB">X10</span></p> </td> <td style="width: 37.821%; padding: 0cm 5.4pt;"> <p><span lang="EN-GB">2022/10/25</span></p> </td> </tr> <tr style=""> <td style="width: 35.3921%; padding: 0cm 5.4pt;"> <p><span lang="EN-GB">Lavanqueira</span></p> </td> <td style="width: 26.7176%; padding: 0cm 5.4pt;"> <p><span lang="EN-GB">L3</span></p> </td> <td style="width: 37.821%; padding: 0cm 5.4pt;"> <p><span lang="EN-GB">2022/10/25</span></p> </td> </tr> <tr style=""> <td style="width: 35.3921%; padding: 0cm 5.4pt;"> <p><span lang="EN-GB">Lavanqueira</span></p> </td> <td style="width: 26.7176%; padding: 0cm 5.4pt;"> <p><span lang="EN-GB">L4</span></p> </td> <td style="width: 37.821%; padding: 0cm 5.4pt;"> <p><span lang="EN-GB">2022/10/25</span></p> </td> </tr> <tr style=""> <td style="width: 35.3921%; padding: 0cm 5.4pt;"> <p><span lang="EN-GB">Sarrido</span></p> </td> <td style="width: 26.7176%; padding: 0cm 5.4pt;"> <p><span lang="EN-GB">SAR4</span></p> </td> <td style="width: 37.821%; padding: 0cm 5.4pt;"> <p><span lang="EN-GB">2023/09/30</span></p> </td> </tr> <tr style=""> <td style="width: 35.3921%; padding: 0cm 5.4pt;"> <p><span lang="EN-GB">Lombos </span></p> </td> <td style="width: 26.7176%; padding: 0cm 5.4pt;"> <p><span lang="EN-GB">M5</span></p> </td> <td style="width: 37.821%; padding: 0cm 5.4pt;"> <p><span lang="EN-GB">2024/02/26</span></p> </td> </tr> <tr style=""> <td style="width: 35.3921%; padding: 0cm 5.4pt;"> <p><span lang="EN-GB">Lombos</span></p> </td> <td style="width: 26.7176%; padding: 0cm 5.4pt;"> <p><span lang="EN-GB">M6</span></p> </td> <td style="width: 37.821%; padding: 0cm 5.4pt;"> <p><span lang="EN-GB">2024/02/26</span></p> </td> </tr> <tr style=""> <td style="width: 35.3921%; padding: 0cm 5.4pt;"> <p><span lang="EN-GB">Xastelas</span></p> </td> <td style="width: 26.7176%; padding: 0cm 5.4pt;"> <p><span lang="EN-GB">X10</span></p> </td> <td style="width: 37.821%; padding: 0cm 5.4pt;"> <p><span lang="EN-GB">2024/02/12</span></p> </td> </tr> </tbody> </table> <p> </p>
One-year Survey of Anaphylaxis in Outpatient Children Allergic to Peanuts, Walnuts/Hazelnuts, Shellfish
ClinicalTrials.gov study NCT02640560. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Bathymetry dataset of intertidal shellfish sandbanks within Ría de Arousa, Spain
<p>This dataset includes three digital elevation models built after a compilation of bathymetric surveys carried out in three coastal locations of the Ria de Arousa, Galicia, Spain. Different approach was followed for each location.</p> <p>At the Lombos do Ulla location, placed at the inner part of the Ría and influenced by the Ulla river, data was acquired by CIMA with a single beam survey in 2015. The area between the Arousa Island and the Ría east coast, known as O Bohído, was surveyed during two campaigns in September 2023 and April 2024 with a multibeam Geoswath 4R echosounder from Kongsberg mounted on the Inndaga vessel from the GEOMA research group of Vigo University. Position was determined by GPS and RTK corrections and system calibrated each survey day. At Sarrido location, at the Umia river mouth, its slightly higher elevation drove to a multiple approach of bathymetry acquisition. For the deep part, we performed in April 2024 a multibeam survey with the equipment previously described. The intertidal section was defined by a survey using a DJI Zenmuse L1 mounted on a UAV Matrice 300 RTK from Santiago University in June 2024. Here the dataset is complemented with a Trimble DGPS topography on foot.</p>
DGPS Topography dataset of intertidal shellfish sandbanks in Ría de Arousa, Galicia, Spain
<p><span>The GEOMA Research group from the University of Vigo implements a solution to improve the knowledge of the sediment dynamics, the stability of the ecosystem substratum, and its response to the predicted Climate Change outcome (INTERM). The INTERM solution is based on sedimentological monitoring of sandbanks at specific locations of clam exploitation by foot in the southeast margin of <em>Ría de Arousa</em> (Galicia, Spain). This dataset includes morphological monitoring of selected shellfish sandbanks, aiming to define their configuration and to explore their evolution through time. The dataset includes three locations with significant shellfishing activity ruled by three different shellfisher´s guilds. Camaxes and Xastelas beaches, at the east coast of Arousa Island, the southeast margin of Lombos do Ulla estuary (Carril), and part of the sandbank referred as Sarrido (Cambados). From October 2022 and July 2024, topography of the subaerial and intertidal site was measured using a Trimble real-time kinematic global positioning system (RTK_DGPS) on foot. Source coordinate system is WGS84 UTM Zone 29N.</span></p> <p><span> </span></p>
In vitro effects of paralytic shellfish toxins and lytic extracellu-lar compounds produced by Alexandrium strains on hemocyte integrity and function in Mytilus edulis.
<p>Data set from dose-response<em> in vitro</em> approaches</p>
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OpenNeuro
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