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.
1,025
datasets available to search
ShareScore release 0.9.0
Dataset results
1,025 results for “salmon”
Figure 9. A–F in giant, spike-toothed salmon, Oncorhynchus rastrosus and the "Proto-Tuolumne River" (early Pliocene) of Central California
Figure 9. A–F. Measurements taken of O. rastrosus premaxillary teeth. A. Greatest length of the osseous base. B. Greatest length of the tooth cusp. C. Greatest height of the tooth cusp and osseous base. D. Greatest height of the osseous base. E. Greatest width of the osseous base. F. Greatest width of the tooth cusp.
Figure 5 in giant, spike-toothed salmon, Oncorhynchus rastrosus and the "Proto-Tuolumne River" (early Pliocene) of Central California
Figure 5. Generalized stratigraphy of the Mehrten Formation highlighted in grey. Modified from Wagner 1981.
Figure 3 in giant, spike-toothed salmon, Oncorhynchus rastrosus and the "Proto-Tuolumne River" (early Pliocene) of Central California
Figure 3. Map of California showing the location of Turlock Lake in relation to nearby cities, towns, and landmarks.
Figure 4 in giant, spike-toothed salmon, Oncorhynchus rastrosus and the "Proto-Tuolumne River" (early Pliocene) of Central California
Figure 4. Early Pliocene (~5 Ma) reconstruction of California showing the modern locations of the Tuolumne River, Turlock Lake, latite flows of the Stanislaus Group, the Little Walker Caldera, the path of the "proto-Tuolumne River", and the shallow marine embayment near Bakersfield. Based on Blakey and Ranney 2008.
Figure 11. Stratigraphic section through the T-6 in giant, spike-toothed salmon, Oncorhynchus rastrosus and the "Proto-Tuolumne River" (early Pliocene) of Central California
Figure 11. Stratigraphic section through the T-6 fossil locality (measured/described by Francisco Palacios and Jacob Biewer in October, 2015).
Figure 7. A–K in giant, spike-toothed salmon, Oncorhynchus rastrosus and the "Proto-Tuolumne River" (early Pliocene) of Central California
Figure 7. A–K. "Proto-Tuolumne River" deposits exposed at Turlock Lake indicated by orange on inset map. Arrows indicate observed flow directions. A. Unconformity exposed northwest of T-24. B. Channel cross-section visible at T-21. C. Unconformity exposed far north of salmon locality. D. Unconformity exposed on 'unmapped' island. E. Cobbles above unconformity at T-5 showing clear imbrication toward the left (southwest direction). F. Sharp, wavy unconformity on T-3/T-4 island. G. Cross-bedded sand of cliff face overlying salmon locality. H. Steep cross-beds and silt rip-up clasts exposed at cliff overlooking T-8. I. Unconformity exposed between T-15 and T-14. J. Cross-beds located southwest of T-24. K. Beach composed of cross-bedded sand and gravel at T-23.
Supplementary Data for The salmon louse genome: copepod features and parasitic adaptations.
<p>This dataset contains supporting data for the manuscript: Skern-Mauritzen <em>et al. </em>The salmon louse genome: copepod features and parasitic adaptations.</p> <p>Copepods encompass a range of ecological roles from parasites to phytoplankton grazers linking primary producers to higher trophic levels. Despite these important roles, copepod genome assemblies are scarce. <em>Lepeophtheirus salmonis</em> is an economically and ecologically important ectoparasitic copepod found on salmonid fish. We present the 695.4 Mbp <em>L. salmonis</em> genome assembly containing ≈60% repetitive regions and 13081 annotated protein-coding genes. The genome comprises 14 autosomes and a ZZ-ZW sex chromosome system. Assembly assessment identified 92.4% of the expected arthropod genes. Transcriptomics supported annotation and indicated a marked shift in gene expression after host attachment, including down-regulation of genes related to circadian rhythm coinciding with abandoning diurnal migration. The genome shows evolutionary signatures including loss of genes needed for peroxisome biogenesis, presence of numerous FNII domains, and an incomplete heme homeostasis pathway suggesting heme proteins to be obtained from the host. Despite large capacity to develop resistance against chemical treatments <em>L. salmonis</em> exhibits low numbers of many genes involved in detoxification.</p> <ul> <li>Supplementary data is explained in detail and referenced in the manuscript and the file Supplementary Material 30062021 REVISED.pdf</li> <li>BUSCO-V5-results-species-comparison.tar.gz contains the raw output and results of all BUSCO V 5.0.0 runs on the genomes in Table 1 of the manuscript and Supplementary_Table_GenomeStats.xlsx </li> <li>GCA_000181255.2_ASM18125v2_genomic.fna.RepMasker.o ..., GCA_001005205.1_lsal_atl_canada_female_v1_genomic. ..., GCA_001005235.1_lsal_atl_canada_male_v1_genomic.fn ... and TableS4-1-LSalAtl2s.fasta.RepMasker.out.gz contain original output from RepeatMasker</li> <li>Lsalmonis-RepeatModeler-families.fa.gz and Lsalmonis-RepeatModeler-families.stk.gz contain all repeat families as original output from RepeatModeler</li> </ul> <p> </p> <p> </p>
A large dataset of detection and submeter-accurate 3-D trajectories of juvenile Chinook salmon
<p>Acoustic telemetry has been used extensively to study the behavior of aquatic animals. The Juvenile Salmon Acoustic Telemetry System (JSATS) is one such system; it was developed for studying juvenile salmonids but has been used to study numerous species. A recent innovation of the JSATS system is an injectable acoustic transmitter that is small enough to be implanted through injection instead of surgery. Use of the JSATS system involves deploying cabled acoustic receivers at hydroelectric dams and autonomous acoustic receivers in free-flowing sections of a river. The raw detections from acoustic-tagged fish are processed to remove potential false positives. The clean detections (5,147,996 total) are used to generate detection events and to compute 3-D trajectories (403,900 total), which are used to assign fish to a passage route through a dam. Controlled field testing involving a high-accuracy Global Positioning System receiver is done to validate the submeter accuracy of the trajectories. The JSATS dataset could be reused for expanding the understanding of near-dam fish behavior.</p>
Tagging and tracking information for radiotagged Chinook Salmon in the Copper River, Alaska, 2019 and 2020.
<p>This is a 2 year data set that summarizes the information collected for a study funded by the Alaska Sustainable Salmon Fund (AKSSF), project number 52004. Data was collected on Chinook Salmon in the Copper River by the Alaska Department of Fish and Game, Sport Fish Division and the Native Village of Eyak. The data set includes the following information on Chinook Salmon: tagging date, radio tag frequency and code, length of fish, age of fish and then the date each fish passed a series of fixed tracking stations along the Copper River, expressed as Julian dates. Below is the citation for the study plan which details the methodology including tagging location and placement of the fixed-tracking stations.</p> <p>Schwanke, C. J. 2019. Run timing and spawning distribution of Copper River Chinook salmon. Alaska Department<br> of Fish and Game, Regional Operational Plan ROP.SF.3F.2019.04, Fairbanks.</p> <p>http://www.adfg.alaska.gov/FedAidPDFs/ROP.SF.3F.2019.04.pdf</p>
Figure 1 in Marine protozoan epibionts on the copepod Lepeophtheirus salmonis, parasite of the Atlantic salmon
Figure 1. Ephelota gemmipara. (a) Schematic diagram of the body. ct, capitate tentacles; pt, prehensile tentacles; cv, contractile vacuole; ls, longitudinal striations; Ma, macronucleus; Mi, micronucleus; s, stalk; ts, tranversal striations. (b) Schematic diagram of a bud of Ephelota gemmipara. rcf, right ciliar field; lcf, left ciliar field; Ma, macronucleus.
Figures 2–7 in Marine protozoan epibionts on the copepod Lepeophtheirus salmonis, parasite of the Atlantic salmon
Figures 2–7. (2) A specimen of the copepod Lepeophtheirus salmonis showing the suctoria attached to its surface (×11). (3) Two individuals of Ephelota gemmipara showing the lobulate macronucleus, the tentacles and the stalk (×112). (4) Ephelota gemmipara. SEM photomicrography showing buds (×224). (5) Ephelota gemmipara. SEM photomicrography showing the distal part of the stalk and the body (×224). (6) Ephelota gigantea. General view of the body (×108). (7) Ephelota gigantea. Aspect of the anterior area of the body (×149).
Figure 8 in Marine protozoan epibionts on the copepod Lepeophtheirus salmonis, parasite of the Atlantic salmon
Figure 8. Ephelota gigantea. (a) Schematic diagram of the body. pt, prehensile tentacles; ct, capitate tentacles; cv, contractile vacuole; Ma, macronucleus; Mi, micronucleus; ls, longitudinal striations; s, stalk. (b) Schematic diagram of the fibrillar bands of the suprastylar area of the stalk. afb, anterior fibrillar band; ifb, intermediate fibrillar band; pfb, posterior fibrillar band.
Fig. 3 in Two Copepods Salmincola edwardsii and Salmincola markewitschi (Lernaeopodidae) Parasitic on Chars (Salvelinus spp.) Reared in a Salmon Museum, Northern Japan
Fig. 3. Salmincola markewitschi, female, NSMT-Cr 28446, from whitespotted char, Salvelinus leucomaenis, reared in the Sapporo Salmon Museum, Hokkaido, Japan. Formalin-fixed and preserved specimen. A, Habitus, ventrolateral view; B, second antenna, distal half, ventral view; C, mandible, lateral view; D, first maxilla, lateral view; E, maxilliped, lateral view; F, palp of maxilliped. Abbreviations: ex, exopod; h1, hook 1; p, palp; pap, papilla; p4, process 4; p5, process 5; s2, spine 2; t3, tubercle 3. Scale bars: A, 1 mm; B, 50 µm; C, 20 µm; D, 30 µm; E, 100 µm; F, 20 µm.
Fig. 2 in Two Copepods Salmincola edwardsii and Salmincola markewitschi (Lernaeopodidae) Parasitic on Chars (Salvelinus spp.) Reared in a Salmon Museum, Northern Japan
Fig. 2. Salmincola edwardsii, female, NSMT-Cr 28445, from southern Asian Dolly Varden, Salvelinus malma krascheninnikova, reared in the Sapporo Salmon Museum, Hokkaido, Japan. Formalin-fixed and preserved specimen. A, Habitus, lateral view; B, second antenna, distal half, ventral view; C, mandible, lateral view; D, first maxilla, lateral view; E, maxilliped, lateral view; F, palp of maxilliped. Abbreviations: ex, exopod; h1, hook 1; p, palp; pap, papilla; p4, process 4; p5, process 5; s2, spine 2. Scale bars: A, 1 mm; B, 50 µm; C, 20 µm; D, 50 µm; E, 100 µm; F, 20 µm.
Fig. 1 in Two Copepods Salmincola edwardsii and Salmincola markewitschi (Lernaeopodidae) Parasitic on Chars (Salvelinus spp.) Reared in a Salmon Museum, Northern Japan
Fig. 1. Salmincola edwardsii (A), female, NSMT-Cr 28445, and Salmincola markewitschi (B–D), females, NSMT-Cr 28446–28448, from chars reared in the Sapporo Salmon Museum, Hokkaido, Japan. Formalin-fixed and preserved specimens (A–C) and ethanol-fixed and preserved specimen (D), lateral views. A, From southern Asian Dolly Varden, Salvelinus malma krascheninnikova; B, from whitespotted char, Salvelinus leucomaenis; C, from Nikko char, Salvelinus leucomaenis pluvius; D, from brook trout, Salvelinus fontinalis. Scale bars: A, D, 1 mm; B, C, 2 mm.
Data for: Dynamic coastal pelagic habitat drives rapid changes in growth and condition of juvenile sockeye salmon (Oncorhynchus nerka) during early marine migration
<p>Migrating marine taxa encounter diverse habitats that differ environmentally and in foraging conditions over a range of spatial scales. We examined body (RNA/DNA, length-weight residuals) and nutritional (fatty acid composition) condition of juvenile sockeye salmon (<em>Oncorhynchus</em> nerka) in British Columbia while migrating through oceanographically variable waters. Fish were sampled in the stratified northern Strait of Georgia (NSoG); the highly mixed Johnstone Strait (JS); and the transitional zone of Queen Charlotte Strait (QCS). In 2015, body and nutritional condition were high in the NSoG but rapidly declined to reach the lowest levels in JS where prey availability was low, before showing signs of compensatory growth in QCS. In 2016, juvenile salmon had a significantly lower condition in the NSoG than in 2015, although zooplankton biomass was similar, condition remained low in JS, and no compensatory growth was observed in QCS. We provide evidence that differences in juvenile salmon condition between the two years were due to changes in the food quality available to juvenile fish. We propose that existing hypotheses about fish survival need to be extended to incorporate food quality in addition to quantity to understand changes in fish condition and survival between years.</p>
Data from: Timing and probability of arrival for sea lice dispersing between salmon farms
<p>Sea lice are a threat to the health of both wild and farmed salmon and an economic burden for salmon farms. With a free-living larval stage, sea lice can disperse tens of kilometers in the ocean between salmon farms, leading to connected sea lice populations that are difficult to control in isolation. In this paper, we develop a simple analytical model for the dispersal of sea lice between two salmon farms. From the model we calculate the arrival time distribution of sea lice dispersing between farms, as well as the level of cross-infection of sea lice. We also use numerical flows from a hydrodynamic model, coupled with a particle tracking model, to directly calculate the arrival time of sea lice dispersing between two farms in the Broughton Archipelago, BC, in order to fit our analytical model and find realistic parameter estimates. Using the parametrized analytical model we show that there is often an intermediate inter-farm spacing that maximizes the level of cross-infection between farms, and that increased temperatures will lead to increased levels of cross-infection.</p>
Data analysis of Maamela et al. 2023 The effect of temperature and dietary energy content on female maturation and egg nutritional content in Atlantic salmon
<p>This folder includes the data and R scripts used in the data analysis of the Maamela et al. 2023 paper in Journal of Fish Biology.</p>
Postrelease exploration and stress tolerance of landlocked and anadromous Atlantic salmon and their hybrids
<p><strong>Background</strong></p> <p>We studied postrelease explorative behavior and stress tolerance of Landlocked and anadromous Atlantic salmon and their hybrids. For the research, we hybridized the Landlocked salmon of Lake Saimaa with a Baltic anadromous salmon from River Kymijoki, Southern Finland (strain originally from River Neva, Russia). These fish were hybridized in November 2017 and October 2018 in the Kainuu Fisheries Research Station, Paltamo, Kainuu, Finland (kfrs.fi).<br><br>In the data the fish are treated as four strains (column 'Strain'): <strong>1.</strong> Purebred Landlocked salmon (LLxLL), <strong>2. </strong>hybrids, where the maternal population was landlocked salmon (LLxBA), <strong>3. </strong>hybrids, where the maternal population was Baltic anadromous salmon (BAxLL) and <strong>4. </strong>purebred Baltic anadromous salmon (BAxBA).</p> <p><strong>Experiment 1. Post-release exploration</strong></p> <p>In experiment 1., consisting of two separate trials, we studied post-release exploration of the fish in four circular seminatural streams. (Datasets 'Exploration2018.csv' & 'Exploration2020.csv', see also 'Figure_1.jpg')</p> <p><strong>Experiment 2. Stress tolerance</strong></p> <p>In experiment 2. we studied the stress response and recovery of the fish (Dataset 'Stress_BernoulliData.csv', see also 'Figure_2.jpg').</p>
Quantifying the diets of a non-native and native predator during juvenile salmon out-migrations in the Columbia River
<p>This is the clean and raw data files needed to replicate the analysis for our paper. The data contains carbon and nitrogen stable isotope data from several species of fish collected in the upper John Day Reservoir in Washington State in 2012. The data contains stable isotope signatures from predatory Walleye and Northern Pikeminnow, as well as potential prey species. A spreadsheet with descriptions of the column names is included. </p> <p>All of the code and analysis can be found at Karl Veggerby's Github: https://github.com/veggerk/Columbia-River-predatory-fish-study</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.