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ShareScore release 0.7.1
Dataset results
23 results for “Seafood”
Seafood mislabelling in Australia
<p>Input data for the Cundy et al. paper: Seafood label quality and mislabelling rates hamper consumer choices for sustainability in Australia.</p> <p>Includes .fasta files used to create a forward and reverse sequence consensus as well as .xlsx files with the various inputs into the processing script.</p> <p> </p>
Kuempel et al. (2024) Quantifying global redundant fisheries trade to streamline seafood supply chains
<p>Species trade data to accompany the publication "Quantifying global redundant fisheries trade to streamline seafood supply chains" by Kuempel et al. (2024) and the associated github repository https://github.com/cdkuempel/Redundant_fisheries_trade</p> <p> </p>
Fig. 1 in Detection of Escherichia fergusonii - an emerging pathogen harbouring drug resistant genes from seafood samples of Tamil Nadu, India
Fig. 1 — Gene specific PCR amplification of Escherichia fergusonii (lane 1 – 100 bp DNA ladder, lane 2 – positive control (clinical E. fergusonii), lane 3 – negative control, lane 4 – E011, lane 5 – E060)
Data on the occurrence of Vibrio spp. of public health importance (i.e. Vibrio parahaemolyticus, Vibrio vulnificus, and Vibrio cholerae non-O1/non-O139) in seafood in European countries (Jan 2010-Sept 2023)
<p><span>This file contains data on the occurrence of <em><span>Vibrio</span></em><span> spp. of public health importance (<em>i.e</em>. <em>Vibrio parahaemolyticus</em>, <em>Vibrio vulnificus,</em> and <em>Vibrio cholerae </em>non-O1/non-O139) in seafood produced and/or commercialized in Europe, </span>covering studies published between January 2010 and September 2023. </span><span>The systematic review protocol used to identify and extract the information is available at <a href="../doi/10.5281/zenodo.10282513"><span>https://zenodo.org/doi/10.5281/zenodo.10282513</span></a> .</span></p>
Deidentified Frozen Seafood Dataset
<p><strong>About Dataset</strong></p> <p>This dataset contains de-identified data on testing for infection in consignments of frozen seafood where importation into Australia was attempted. The data is from an approximately four-year period between 2015 and 2022. Each row represents a batch, where a batch is either a consignment, or a subdivision of a consignment. A sample of 13 bags was selected from each consignment. Each bag contains on average 40 items. A pool of 5 items was selected from each bag. Pools were then tested for the presence of infection. The result is a number of positive tests out of 13 pools tested.</p> <p>Deidentification steps included:</p> <ul> <li>Tonnage was rounded to the nearest whole number and truncated above at 20.</li> <li>One year with relatively few observations was grouped with an adjacent year.</li> <li>Country of export, country of harvest, consignment and year were all randomly scrambled to arbitrary code numbers. The year numbers are not in chronological order.</li> </ul> <p>Countries of harvest or export with less than 20 batches have been removed. Consignments with more than two batches have been removed.</p> <p><strong>Variable Definitions</strong></p> <table> <tbody> <tr> <td> <p>Variable Name</p> </td> <td> <p>Values</p> </td> <td> <p>Description</p> </td> </tr> <tr> <td> <p>batch.scrambled</p> </td> <td> <p>1, …, 2850</p> </td> <td> <p>Randomised batch identifier number. The data set contains one row per batch.</p> </td> </tr> <tr> <td> <p>consignment.scrambled</p> </td> <td> <p>1, …, 2680</p> </td> <td> <p>Randomised consignment identifier number. Consignments contain either one or two batches. (Consignments with more batches have been excluded from this dataset.)</p> </td> </tr> <tr> <td> <p>country.export.scrambled</p> </td> <td> <p>1, …, 5</p> </td> <td> <p>Randomised country of export identifier number. (Countries with relatively few batches have been excluded.)</p> </td> </tr> <tr> <td> <p>country.harvest.scrambled</p> </td> <td> <p>1, …, 8</p> </td> <td> <p>Randomised country of export identifier number. (Countries with relatively few batches have been excluded.)</p> </td> </tr> <tr> <td> <p>tonnage</p> </td> <td> <p>0, …, 20</p> </td> <td> <p>Weight of batch cargo in tonnes (rounded to the nearest whole tonne and truncated at 20).</p> </td> </tr> <tr> <td> <p>year.scrambled</p> </td> <td> <p>1, 2, 3, 4</p> </td> <td> <p>Randomised year of importation (note: not in temporal order)</p> </td> </tr> <tr> <td> <p>numPos</p> </td> <td> <p>0, …, 10</p> </td> <td> <p>Number of positive pooled tests (out of 13)</p> </td> </tr> </tbody> </table> <p><strong>Author Field</strong></p> <p>I am the uploader of this de-identified dataset, which is published with the permission of the data owner.</p>
EuroFIR average EU fish & seafood nutrients
<p>EuroFIR has compiled 51 component values (49 nutrients, energy, ash) for aquaculture-derived food products ‘as consumed’ in Europe (61 unique species, 134 products, cooked and raw, canned or fried) based on Members' national food composition datasets.</p>
Climate change exacerbates nutrient disparities from seafood
<p>Seafood is an important source of bioavailable micronutrients supporting human health, yet it is unclear how micronutrient production has changed in the past, or how climate change will influence its availability. Here, combining reconstructed fisheries databases and predictive models, we assess nutrient availability from fisheries and mariculture in the past, and project their futures under climate change. Since the 1990s, availabilities of iron, calcium and omega-3 from seafood for direct human consumption has increased but stagnated for protein. Under climate change, nutrient availability is projected to decrease disproportionately in tropical low-income countries that are already highly dependent on seafood-derived nutrients. At 4 oC of warming, nutrient availability is projected to decline by ~30% by 2100 in low income countries, while at 1.5 - 2.0 oC warming, decreases are projected to be ~10%. We demonstrate the importance of effective mitigation to support nutritional security of vulnerable nations and global health equity.</p>
Mismanagement and poor transparency in the European processed seafood supply revealed by DNA metabarcoding
<p>Raw Illumina MiSeq data in zipped FASTQ format related to the manuscript "Mismanagement and poor transparency in the European processed seafood supply revealed by DNA metabarcoding" (DOI: <a href="https://doi.org/10.1016/j.foodres.2024.114901">https://doi.org/10.1016/j.foodres.2024.114901</a>).</p> <p>Lorusso, L., Shum, P., Piredda, R., Mottola, A., Maiello, G., Cartledge, E. L., Neave E. F., & Di Pinto A., Mariani, S. (2024). Mismanagement and poor transparency in the European processed seafood supply revealed by DNA metabarcoding. Food Research International, <a href="https://doi.org/10.1016/j.foodres.2024.114901">https://doi.org/10.1016/j.foodres.2024.114901</a>.</p>
Assessing consumers' attitudes, expectations and intentions towards health and sustainability regarding seafood consumption in Italy
<p>The EU and its Member States have articulated a sustainability vision ‘to live well within the limits of our planet’ by 2050. In this context, consumers play a key role, being able to drive seafood production sustainability and responsibility according to their behaviour, also in relation to their attitudes towards health, nutrition and wellbeing. On the basis of these premises, this research explores Italian consumers' attitudes towards health and sustainability in relation to seafood, in order to segment different target of consumers. The framework used in this study is mainly focused on a quantitative exploratory data collection based on an online survey. Three groups of consumerswere identified based on general health interest, perceived benefits of eating seafoods and attitude towards seafoods: Health seekerswho eat seafood for duty; Health seekers and seafood lovers; Lowcommitment to health and indifferent to seafood. Differences among groups related to socio-demographic characteristics, sustainability attitudes, intentions and interest in information about seafood productswere also investigated. In particular, the first two groups are more familiar with sustainable seafood products and more interested in information on these products than the third, both in terms of product origin and seasonality. Consumers belonging to second group show a higher probability to buy seafood products considering this characteristic than the other two groups. Based on the results obtained, a strategic plan could be developed to achieve relevant goals in education, communication and sustainability labelling related with seafood products. Following a preliminary scouting carried out with all the seafood stakeholders, a specific territory to test this approach has been already identified in Torre del Cerrano (Italy). These results have a strong implication for policy makers and educational<br> institutions as they identify differences in attitudes and perceptions among consumers that are crucial in order to<br> design the right communication strategy strategies as well as messages content.</p>
Climate change exacerbates nutrient disparities from seafood
Open the record for dataset details and reuse information.
Covid-19 Seafood Impacts
<p>Reported impacts and responses on the seafood sector were compiled from April 3 to May 30, 2020, which includes (n = 175) articles published from January 28 to May 27, 2020. News articles were collected by monitoring Google News alerts for ("seafood" OR "fish") AND ("coronavirus" OR "covid"), daily data scraping of Twitter posts for "seafood" and "coronavirus" OR "covid," website searches of primary seafood industry news outlets (e.g., SeafoodSource,Undercurrent, and IntraFish), and compiling information shared through the authors’ professional networks. All news articles containing information about an impact on or response to the COVID-19 pandemic relating to any stage of the seafood supply chain were considered relevant. For each article, we extracted information the: article title, article date, article link, date of the impact, the type of impact, and the countries, sector(s), supply chain stage(s), species, and product form(s) involved, as well as whether the production is recreational, small-scale, and/or industrial.</p>
Data Figures Indicators of the 'wild seafood' provisioning ecosystem service based on the surplus production of commercial fish stocks
<p>This excel sheet contains the underlying data for the Figures that are presented by Piet al (2017).</p> <p>Piet, GJ, HMJ van Overzee, DCM Miller, E Royo Gelabert, 2017. Indicators of the ‘wild seafood’ provisioning ecosystem service based on the surplus production of commercial fish stocks. Ecological Indicators, Volume 72: 194-202.</p>
A global seafood methylmercury concentration dataset during 1995-2022
<p>The database provides detailed records of global seafood methylmercury (MeHg) concentrations from 1995 to 2022. The database is classified based on two scales: marine area and nation. All data files are stored in XLSX and CSV formats, and the related codes used to construct this database are saved as Python files (.py ).</p> <div> <div> <div> </div> </div> </div> <div> <div> <div> <div> </div> </div> </div> </div>
Signature of climate-induced changes in seafood species served in restaurants
<p><span><span><span><span>Climate change is causing shifts in biogeography of marine species, towards higher latitude, deeper waters, or following local temperature gradients. Such species distribution changes are affecting global fisheries through increasing the dominance of warmer-water preferred species as ocean temperature increases. Previous modeling analyses projected that climate-induced changes in seafood availability would affect the entire seafood chain. However, observed climate impacts on seafood retailers and consumers have rarely been demonstrated. Seafood restaurants usually rely on the supply of locally caught species, and thus the impacts of changing catches on the food they serve, and consequently on their diners, may be reflected in their menus. In this study, 362 restaurant menus from Vancouver, British Columbia, Canada, were collated and analyzed over four different time periods (1880–1960, 1961–1980, 1981–1996, and 2019–2021). Moreover, 148 present-day menus from two other cities north (Anchorage, AK, USA) and south (Los Angeles, CA, USA) of Vancouver were also collected. An index, herein called Mean Temperature of Restaurant Seafood (MTRS), was calculated from the average temperature preference of the species of seafood identified in the menus for each time period or location. Overall, the MTRS of menus from Vancouver increased from 10.7 ± 0.7 °C to 13.8 ± 1.0 °C (95% confidence intervals) between 1888–1960 and 2019–2021. Present-day MTRS was among the highest in Los Angeles (16.5 ± 1.7 °C) and lowest in Anchorage (9.6 ± 1.0 °C). The temporal and spatial variations in MTRS are significantly related to observed patterns of average sea surface temperature and the Mean Temperature of the Catch. This suggests that restaurant menus may be used as a complementary information source regarding changes in marine ecosystems and fisheries and the seafood sector's responses to these changes. This study also highlights the value of using unconventional information sources and their applications in the detection of climate impacts on oceans and their dependent human communities.</span></span></span></span></p>
Lean Seafood Intake and Postprandial Metabolism
ClinicalTrials.gov study NCT01708681. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Modifiable Work and Movement Solutions Low Back Pain in Seafood Workers
ClinicalTrials.gov study NCT03524378. IPD Sharing: NO. Countries: 1. Publications: 1.
Signature of climate-induced changes in seafood species served in restaurants
Open the record for dataset details and reuse information.
Coastal urbanization influences human pathogens and microdebris contamination in seafood
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NOVAFOODIES SeaFood +Algae + Biomasses Value Chain information and Technologies for traceability
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Caco-2 in vitro model of human gastrointestinal tract for studying the absorption of titanium dioxide and silver nanoparticles from seafood
<p><a href="https://www.sciencedirect.com/topics/chemistry/titanium-dioxide-nanoparticle">Titanium dioxide nanoparticles</a> (TiO<sub>2</sub> NPs) are widely used in industry as a white pigment (paints, paper industry and toothpastes), photocatalysts (environmental decontamination and photovoltaic cells), inorganic UV filter (sunscreens and personal care products) and as a <a href="https://www.sciencedirect.com/topics/chemistry/food-additive">food additive</a> (E171) and antimicrobial food packaging material. <a href="https://www.sciencedirect.com/topics/chemistry/silver-nanoparticle">Silver nanoparticles</a> (Ag NPs) are used in photonics, microelectronics, catalysis and medicine due to their catalytic activity, magnetic and optical polarizability, electrical and <a href="https://www.sciencedirect.com/topics/chemistry/thermal-conductivity">thermal conductivities</a> and enhanced Raman scattering. They also have antibacterial, antifungal and <a href="https://www.sciencedirect.com/topics/chemistry/antiviral-activity">antiviral activities</a>, as well as anti-inflammatory potential. The huge increase in the use of nano-based products, mainly metallic <a href="https://www.sciencedirect.com/topics/chemistry/nanoparticle">NPs</a>, implies the presence of <a href="https://www.sciencedirect.com/topics/chemistry/nanomaterial">nanomaterials</a> in the environment, and hence, the unintentional human ingestion through water or foods (gastrointestinal tract is the main pathway of NPs intake in humans).</p> <p>The presence of TiO<sub>2</sub> NPs and Ag NPs in seafood samples was firstly established using an ultrasound assisted <a href="https://www.sciencedirect.com/topics/chemistry/enzymatic-hydrolysis">enzymatic hydrolysis</a> procedure and sp-ICP-MS analysis. Several clams, cockles, mussels, razor clams, oysters and variegated scallops, which contain TiO<sub>2</sub> NPs and Ag NPs, were subjected to an <em>in vitro</em> digestion process simulating human gastrointestinal digestion in the stomach and in the small and large intestine to determine the bioaccessibility of these NPs. Caco-2 cells were selected as model of human intestinal epithelium for transport studies because of the development of membrane transporters that are responsible for the uptake of chemicals. Parameters as transepithelial electrical resistance (TEER) and permeability of Lucifer Yellow were studied for establishing cell monolayer integrity. TiO<sub>2</sub> NPs and Ag NPs transport as well as total Ti and Ag concentrations passing through the gastrointestinal epithelial barrier model (0–2 h) were assessed by sp-ICP-MS and ICP-MS in several molluscs.</p>
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OpenNeuro
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