Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
39
datasets available to search
ShareScore release 0.7.1
Dataset results
39 results for “marine fishery”
Fishery impacts - CA commercial lobster catch and effort, and trap distribution around marine reserves
These data describe landings and fishing effort for the CA commercial spiny lobster fishery. Data are contained in two tables: 1) a time series collected by the California Fish and Wildlife (CDFW) of lobster catch (kg) and effort (lobster trap pulls) by year (1998-2020) and location (geographic fishery blocks). Catch is recorded and reported to CDFW by fish processors (buyers) with “fish tickets”. Trap pulls are recorded and reported by fishermen with logbooks. 2) The number of traps counted in the water at increasing distances from the boundary of marine reserves, three reserves located in the northern region of the fishery and three from the southern region of the fishery, in November 2022.
Marine Stewardship Council (MSC) Fisheries Standard v2.0 assessment scores
<p>MSC fishery assessment scores manually collated by Marine Stewardship Council (MSC). See about file for complete details.</p> <p>This data has been manually collated by MSC from reports prepared by third party assessors. This dataset shows, for each Unit of Assessment (UoA), scoring data from the Public Certification Report of the UoA's most recent initial assessment or re-assessment conducted against the Default Tree v2.0 (including Default Tree v2.01) of the MSC Fisheries Standard as of 26 February 2021. A Unit of Assessment is a unique combination of target stock, fishing method or gear, geographic area, and operators or vessels being assessed which may eventually carry the MSC certification status. This excludes UoA which failed their assessment because failing scores are not consistently reported (they are often simply considered a ‘fail’).</p> <p>The following constraints and limitations apply to this dataset:<br> 1. This data has been manually collated by MSC from fishery reports prepared by third party assessors. MSC carries out data assurance to a standard that is fit for the purpose the information is used for, including being complete, accurate and as up to date as possible. If accuracy is paramount to a finite resolution, receivers are asked to validate data against assessment reports which can all be found published on fisheries.msc.org. The MSC is not responsible for any issues arising to any parties as a result of any information provided therein.<br> 2. This dataset shows, for each UoA, scoring data from the certification report of the UoA's most recent initial assessment or re-assessment conducted against v2.01 of the Standard as of 26 February 2021. This excludes UoA which failed their assessment.<br> 3. UoA details (uoa_details) can be joined to scoring data (scores) by the Event_unitbk. This will join the details of the scored UoA with the score that was awarded to the UoA.</p> <p>This dataset consists of two tables:</p> <p>1. uoa_details<br> This table contains details describing UoA included in the dataset. UoA descriptions include the name of fishery as published on Track a Fishery (fisheries.msc.org), species, gear, and other description of the UoA that was assessed.<br> <br> 2. scores<br> Scoring results to the lowest level (scoring guidepost of the scoring issue) for each UoA, as presented in the scoring tables of the report. One row represents a single guidepost result of a single scoring issue. However, the performance indicator (PI) ‘Score’ will be duplicated for all scoring issues in the same PI. For example, if a UoA received a score of 80 for a performance indicator, and in this performance indicator there are 2 scoring issues each scored at 3 guideposts, there will be 6 total rows showing the results for each guidepost of each scoring issue, but all rows will show 80 for the overall 'Score' of the PI. One row also exists for each Principle score of each UoA, in which the principle will be noted in the 'PI' column, and the Principle score in 'Score'. Data has been copied from the scoring tables in the Public Certification Report.</p>
Data from: Extending full protection inside existing marine protected areas or reducing fishing effort outside can reconcile conservation and fisheries goals
<p>1. Most fish stocks worldwide are fished at maximum sustainable yield (MSY) or overfished, as many fisheries management strategies have failed to achieve sustainable fishing. Identifying effective fisheries management strategies has now become urgent.</p> <p>2. Here, we developed a spatially-explicit metapopulation model accounting for population connectivity in the north-western Mediterranean Sea, and parameterized it for three ecologically and economically important coastal fish species: the white seabream <i>Diplodus sargus</i>, the two-banded seabream <i>Diplodus vulgaris</i> and the dusky grouper <i>Epinephelus marginatus</i>.</p> <p>3. We used the model to assess how stock biomass and catches respond to changes in fishing mortality rate (<i>F</i>) and in the size of fully protected areas within the existing system of multiple-use marine protected areas (MPAs). For each species, we estimated MSY and the corresponding values of stock biomass (<i>B</i><sub>MSY</sub>) and fishing mortality rate (<i>F</i><sub>MSY</sub>), providing crucial reference points for the assessment of fisheries management.</p> <p>4. <i>D. sargus</i> is currently in low overfishing, while <i>D. vulgaris</i> and <i>E. marginatus</i> are in high overfishing. Stock recovery to <i>B</i><sub>MSY</sub> for the last two species requires a reduction of current <i>F</i> around 50%. This would guarantee an increase in both stock biomass (around 50 and 75% for <i>D. vulgaris</i> and <i>E. marginatus</i>, respectively) and catch (around 15 and 30%) after a transient time of ~15–30 years. Alternatively, doubling the size of fully protected areas over fishable areas within the existing network of MPAs would lead to positive conservation effects for all three species without substantially affecting the overall productivity of the fishery and the total economic value of the catch.</p> <p>5. <i>Synthesis and applications.</i> We provide the first assessment of stock status for three coastal species in the north-western Mediterranean and evaluate the ecological and fisheries outcomes of different management strategies. Extending full protection inside existing multiple-use marine protected areas or reducing fishing effort outside can deliver both conservation and fisheries benefits.</p>
Model output data for Marine Wild-Capture Fisheries after Nuclear War
<p>This is the model data material for Scherrer at al., PNAS. [Scherrer K. J. N., et al. Marine wild-capture fisheries after nuclear war, PNAS in press]. Input files include time series of gridded global oceanic Sea Surface Temperature and Net Primary Productivity (output from the CESM model) and socioeconomic input for the global fisheries model (BOATS). Output files include globally integrated time series (used in Figs. 1-3 and 6) and global gridded model output (used in Figs. 4-5) for each of the five ensemble member runs.</p>
Marine reserve targets to sustain and rebuild unregulated fisheries
<p>This upload contains data analysed in Krueck NC, Ahmadia GN, Possingham HP, Riginos C, Treml EA, Mumby PJ (2017) Marine reserve targets to sustain and rebuild unregulated fisheries. PLoS Biology 15(1): e2000537.</p> <p> </p> <p>The zip folder "Generic" contains data used to analyse reserve impacts on fisheries as described for generic scenarios in the Materials and Methods section and as presented in Fig. 1 and Fig. 2. Results are stored in subfolders that specify modelling assumptions as defined in S3 Table. File names specify the assumed fishing pressure as defined in S3 Table. Each file contains a three-dimensional data matrix in MATLAB format (“dat.mat”), giving in the first dimension (rows #1-4) fishery catch relative to the maximum sustainable yield (row #1), total fish biomass relative to the maximum possible total fish biomass (row #2), fish biomass in reserves relative to the maximum possible fish biomass in reserves (row #3), and fish biomass in fished areas relative to the maximum possible fish biomass in fished areas (row #4). The second dimension (columns #1-101) gives results for increasing levels of reserve coverage (increments of 1%), ranging from no protection (column #1: open fishing ground, 0% reserve coverage) to full protection (column #101: 100% reserve coverage). The third dimension (#1-175) separates results for all simulated, taxon-specific rates of natural adult mortality and growth. More detailed information on mortality rates and growth coefficients of each simulated taxon (including species id, name, family, location of data collection, estimate of natural mortality rate, and estimate of growth coefficient) are available from the Excel spreadsheet "speciesInformation_Pauly1980_icesjms39.2.175.xlsx".</p> <p> </p> <p>The zip folder "Keppels" contains all data used to analyse reserve impacts on fisheries as described in the Materials and Methods section for the Keppel islands scenarios and as presented in Fig. 1 and Fig. 2 (K scenarios). The data are stored in subfolders that specify modelling assumptions as defined in S3 Table. File names specify the assumed fishing pressure as defined in S3 Table. Data matrices were saved in MATLAB format (“dat.mat”), specifying fishery catch relative to the maximum sustainable yield. Columns #1-101 give results for increasing levels of reserve coverage (increments of 1%), ranging from no protection (column #1: open fishing ground) to full protection (column #101: 100% reserve coverage).</p>
Metabolic impacts of climate change on marine fish communities and fisheries - Dataset and figure plot script
<p>Here we provide the MATLAB functions, model forcing data (net primary production and temperature), and model output required to generate the figures and perform calculations from the manuscript "Metabolic impacts of climate change on marine fish communities and fisheries", which is currently in submission as a research article. The figures plot script (plot_figures_climate_fish_deconstruction.m) is written in MATLAB version R2012a.</p>
The Small World of Global Marine Fisheries: The Cross-Boundary Consequences of Larval Dispersal
<p>This dataset contains the key intermediate inputs and tabular results generated as part of the paper "The Small World of Global Marine Fisheries". The main directories are as follows:</p> <p> - transitions: Matrices describing the probability of particle transitions.</p> <p> - spawn: Collated information on spawning locations and larval dynamics.</p> <p> - spawn-transits: Species-level transition probabilities.</p> <p> - weights: Collated information on EEZs and on sovereign regions.</p> <p> - atrisk: Import and export flows, and corresponding risk factors.</p> <p> - economics: Data files to support economic calculations</p> <p> - saudata: Data from Sea Around Us.</p> <p> - shapefiles: Geospatial information.</p>
Data from: Extending full protection inside existing marine protected areas or reducing fishing effort outside can reconcile conservation and fisheries goals
Open the record for dataset details and reuse information.
Data From: Parentage‐based tagging combined with genetic stock identification is a cost‐effective and viable replacement for coded‐wire tagging in large‐scale assessments of marine Chinook salmon fisheries in British Columbia, Canada
Open the record for dataset details and reuse information.
Data from: Catch reconstructions reveal that global marine fisheries catches are higher than reported and declining
Fisheries data assembled by the Food and Agriculture Organization (FAO) suggest that global marine fisheries catches increased to 86 million tonnes in 1996, then slightly declined. Here, using a decade-long multinational 'catch reconstruction' project covering the Exclusive Economic Zones of the world's maritime countries and the High Seas from 1950 to 2010, and accounting for all fisheries, we identify catch trajectories differing considerably from the national data submitted to the FAO. We suggest that catch actually peaked at 130 million tonnes, and has been declining much more strongly since. This decline in reconstructed catches reflects declines in industrial catches and to a smaller extent declining discards, despite industrial fishing having expanded from industrialized countries to the waters of developing countries. The differing trajectories documented here suggest a need for improved monitoring of all fisheries, including often neglected small-scale fisheries, and illegal and other problematic fisheries, as well as discarded bycatch.
Data from: A parallel population genomic and hydrodynamic approach to fishery management of highly-dispersive marine invertebrates: the case of the Fijian black-lip pearl oyster Pinctada margaritifera
Fishery management and conservation of marine species increasingly relies on genetic data to delineate biologically relevant stock boundaries. Unfortunately for high gene flow species which may display low, but statistically significant population structure, there is no clear consensus on the level of differentiation required to resolve distinct stocks. The use of fine-scale neutral and adaptive variation, considered together with environmental data can offer additional insights to this problem. Genome-wide genetic data (4,123 SNPs), together with an independent hydrodynamic particle dispersal model were used to inform farm and fishery management in the Fijian black-lip pearl oyster Pinctada margaritifera, where comprehensive fishery management is lacking, and the sustainability of exploitation uncertain. Weak fine-scale patterns of population structure were detected, indicative of broad-scale panmixia among wild oysters, while a hatchery-sourced farmed population exhibited a higher degree of genetic divergence (Fst = 0.0850–0.102). This hatchery-produced population had also experienced a bottleneck (NeLD = 5.1; 95% C.I. = [5.1–5.3]); compared to infinite NeLD estimates for all wild oysters. Simulation of larval transport pathways confirmed the existence of broad-scale mixture by surface ocean currents, correlating well with fine-scale patterns of population structuring. Fst outlier tests failed to detect large numbers of loci supportive of selection, with 2–5 directional outlier SNPs identified (average Fst = 0.116). The lack of biologically significant population genetic structure, absence of evidence for local adaptation and larval dispersal simulation, all indicate the existence of a single genetic stock of P. margaritifera in the Fiji Islands. This approach using independent genomic and oceanographic tools has allowed fundamental insights into stock structure in this species, with transferability to other highly-dispersive marine taxa for their conservation and management.
Data from: Temperate marine protected area provides recruitment subsidies to local fisheries
The utility of marine protected areas (MPAs) as a means of protecting exploited species and conserving biodiversity within MPA boundaries is supported by strong empirical evidence. However, the potential contribution of MPAs to fished populations beyond their boundaries is still highly controversial; empirical measures are scarce and modelling studies have produced a range of predictions, including both positive and negative effects. Using a combination of genetic parentage and relatedness analysis, we measured larval subsidies to local fisheries replenishment for Australasian snapper (Chrysophrys auratus: Sparidae) from a small (5.2 km2), well-established, temperate, coastal MPA in northern New Zealand. Adult snapper within the MPA contributed an estimated 10.6% (95% CI: 5.5-18.1%) of newly settled juveniles to surrounding areas (approx. 400 km2), with no decreasing trend in contributions up to 40 km away. Biophysical modelling of larval dispersal matched experimental data, showing larvae produced inside the MPA dispersed over a comparable distance. These results demonstrate that temperate MPAs have the potential to provide recruitment subsidies at magnitudes and spatial scales relevant to fisheries management. The validated biophysical model provides a cost-efficient opportunity to generalize these findings to other locations and climate conditions, and potentially informs the design of MPA networks for enhancing fisheries management.
Data from: A low-cost solution for documenting distribution and abundance of endangered marine fauna and impacts from fisheries
Fisheries bycatch is a widespread and serious issue that leads to declines of many important and threatened marine species. However, documenting the distribution, abundance, population trends and threats to sparse populations of marine species is often beyond the capacity of developing countries because such work is complex, time consuming and often extremely expensive. We have developed a flexible tool to document spatial distribution and population trends for dugongs and other marine species in the form of an interview questionnaire supported by a structured data upload sheet and a comprehensive project manual. Recognising the effort invested in getting interviewers to remote locations, the questionnaire is comprehensive, but low cost. The questionnaire has already been deployed in 18 countries across the Indo-Pacific region. Project teams spent an average of USD 5,000 per country and obtained large data sets on dugong distribution, trends, catch and bycatch, and threat overlaps. Findings indicated that >50% of respondents had never seen dugongs and that 20% had seen a single dugong in their lifetimes despite living and fishing in areas of known or suspected dugong habitat, suggesting that dugongs occured in low numbers. Only 3% of respondents had seen mother and calf pairs, indicative of low reproductive output. Dugong hunting was still common in several countries. Gillnets and hook and line were the most common fishing gears, with the greatest mortality caused by gillnets. The questionnaire has also been used to study manatees in the Caribbean, coastal cetaceans along the eastern Gulf of Thailand and western Peninsular Malaysia, and river dolphins in Peru. This questionnaire is a powerful tool for studying distribution and relative abundance for marine species and fishery pressures, and determining potential conservation hotspot areas. We provide the questionnaire and supporting documents for open-access use by the scientific and conservation communities.
Data from: Effects of seal predation on a modelled marine fish community and consequences for a commercial fishery
We constructed a size- and trait-based dynamic marine community model of the Celtic Sea/Biologically Sensitive Area, including grey seals Halichoerus grypus (Fabricius 1791) and harbour seals Phoca vitulina vitulina (Linnaeus 1758) to examine potential resource conflict between seals and commercial trawl fisheries. The model incorporates seal diet preference, population size and commercial fishery catch, with survey data to quantify ecological interactions between seals and fisheries. Total annual consumption by seals was an order of magnitude less than the catch of the modelled trawl fishery. Increasing fishing pressure reduced fish spawning stock biomass (SSB) much more than a proportionally equivalent increase in seal predation. For most fish species, quadrupling seal predation showed little effect on the predicted fishery catch. These results arise from relatively low seal abundance and partial niche partitioning. The fishery harvested a wider range of fish lengths and species than seals consumed. The fish community was dominated by small fish lengths and seals predated on these more than suggested by their calculated diet preference. Seal predation disproportionately affected several fish species not targeted by the fishery, but seal predation did not significantly affect the SSB of any of the species that constitute 90% of the total landings of the fishery. Synthesis and applications. Predation of fish by grey and harbour seals is unlikely to harm commercial trawl fisheries in south-west Irish waters. This conclusion differs from those of some model-based studies of other North Atlantic systems, demonstrating the need for ecosystem-specific evidence in considering such conflicts. In systems with low niche overlap between seals and fisheries, the two are largely decoupled in effect, leaving fishing pressure as the overwhelming determinant of targeted fish stock status.
Data from: Parallel evolution and adaptation to environmental factors in a marine flatfish: implications for fisheries and aquaculture management of the turbot (Scophthalmus maximus)
Unraveling adaptive genetic variation represents, in addition to the estimate of population demographic parameters, a cornerstone for the management of aquatic natural living resources, which in turn, represent the raw material for breeding programs. The turbot (Scophthalmus maximus) is a marine flatfish of high commercial value living on the European continental shelf. While wild populations are declining, aquaculture is flourishing in Southern Europe. We evaluated the genetic structure of turbot throughout its natural distribution range (672 individuals; 20 populations) by analyzing allele frequency data from 755 Single Nucleotide Polymorphism discovered and genotyped by Double Digest RAD Sequencing. The species was structured into four main regions: Baltic Sea, Atlantic Ocean, Adriatic Sea and Black Sea, with subtle differentiation apparent at the distribution margins of the Atlantic region. Genetic diversity and effective population size estimates were highest in the Atlantic populations, the area of greatest occurrence, while turbot from other regions showed lower levels, reflecting geographical isolation and reduced abundance. Divergent selection was detected within and between the Atlantic Ocean and Baltic Sea regions, and also when comparing these two regions with the Black Sea. Evidence of parallel evolution was detected between the two low salinity regions, the Baltic and Black seas. Correlation between genetic and environmental variation indicated that temperature and salinity were probably the main environmental drivers of selection. Mining around the four genomic regions consistently inferred to be under selection identified candidate genes related to osmoregulation, growth and resistance to diseases. The new insights are useful for the management of turbot fisheries and aquaculture by providing the baseline for evaluating the consequences of turbot releases from restocking and farming.
Data from: An adaptable toolkit to assess commercial fishery costs and benefits related to marine protected area network design
<p>Data generated by the BESTMPA package as part of Daigle et al. (2015). The R package is available at https://github.com/remi-daigle/BESTMPA and also archived at https://zenodo.org/record/259997</p> <p>The entire directories 'BESTMPA_results/' (3 volumes) and 'BESTMPA_sensitivity/' (X volumes) has been compressed into volumes to facilitate upload/download. Extracting files from a single volume will be difficult, please download all volumes from the directory of choice.</p> <p>Daigle RM, Monaco CJ and Baldridge AK. An adaptable toolkit to assess commercial fishery costs and benefits related to marine protected area network design. <em>F1000Research</em> 2015, <strong>4</strong>:1234 https://f1000research.com/articles/4-1234</p>
Supplementary material 1 from: Petza D, Anastopoulos P, Coll M, Garcia SM, Kaiser M, Kalogirou S, Lourdi I, Rice J, Sciberras M, Katsanevakis S (2021) The contribution of Area-Based Fisheries Management Measures to Fisheries Sustainability and Marine Conservation: a global scoping review protocol. Research Ideas and Outcomes 7: e70486. https://doi.org/10.3897/rio.7.e70486
The contribution of Area-Based Fisheries Management Measures to Fisheries Sustainability and Marine Conservation: a global scoping review protocol - Search Strategy
Supplementary material 2 from: Petza D, Anastopoulos P, Coll M, Garcia SM, Kaiser M, Kalogirou S, Lourdi I, Rice J, Sciberras M, Katsanevakis S (2021) The contribution of Area-Based Fisheries Management Measures to Fisheries Sustainability and Marine Conservation: a global scoping review protocol. Research Ideas and Outcomes 7: e70486. https://doi.org/10.3897/rio.7.e70486
The contribution of Area-Based Fisheries' Management Measures to Fisheries Sustainability and Marine Conservation: a global scoping review protocol - Data Extraction Tool
Datasets for "A skill assessment framework for the Fisheries and Marine Ecosystem Model Intercomparison Project"
<p>CMIP6-forced EcoOcean data for "A skill assessment framework for the Fisheries and Marine Ecosystem Model Intercomparison Project"</p> <p> </p>
Seasonal Variations of Microbial Communities and Viral Diversity in Fishery-Enhanced Marine Ranching Sediments: Insights into Metabolic Potentials and Ecological Interactions
<p>Sediment samples were collected in four seasons from May 2022 to January 2023 from the Tian coastal marine ranching (36°91′ N and 122°15′ E) located along Jinghai Bay in Weihai City, Shandong Province, China. We employed amplicon (16S and 18S) and metagenomic approaches aiming to reveal the seasonal patterns of microbial communities, bacterial-eukaryotic interactions, whole metabolic potential, and their coupling mechanisms with carbon (C), nitrogen (N), and sulfur (S) cycling in marine ranching sediments. Additionally, the characterization and diversity of viral communities in different seasons were explored in marine ranching sediments. This dataset mainly includes amplicon sequencing (16S and 18S) generated ASV tables (after rarefied), corresponding taxonomic classification tables, metagenome assembly (Single assembly and Co-assembly), <span>metagenome-assembled genomes (MAGs)</span> sequences, and <span>viral operational taxonomic units (vOTUs)</span> sequences.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.