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.
27
datasets available to search
ShareScore release 0.9.0
Dataset results
27 results for “chum salmon”
Data from: Sonar estimation of summer chum and pink salmon in the Anvik River, Alaska, 2018
Dual-frequency identification sonar (DIDSON) was used to estimate adult summer chum salmon Oncorhynchus keta and pink salmon O. gorbuscha passage in the Anvik River from June 15 to July 26, 2018. Apportionment to species was determined using data collected from tower counts. A total of 305,098 (SE 5,926) summer chum and 1,122,346 (SE 7,588) pink salmon were estimated to have passed the sonar site. A beach seine sample fishery was conducted to collect age, sex, and length information. Both sonar systems functioned well with minimal interruptions to operation. Range of ensonification was considered adequate for most fish that migrated upstream.
Chum salmon baseline for the Western Alaska Salmon Stock Identification Program
<p>Uncertainty about the magnitude, frequency, location, and timing of the nonlocal harvest of sockeye and chum salmon was the impetus for the Western Alaska Salmon Stock Identification Program. The program was designed to use genetic data in mixed stock analysis to reduce this uncertainty. A baseline of allele frequencies in spawning populations is required for use in mixed-stock analysis to estimate the stock of origin of harvested fish. This report describes the methodology used to understand the population genetic structure among chum salmon populations and to build and test a baseline for use in mixed stock analysis of chum salmon. Of the 35,921 fish from 434 collections selected to be genotyped, the final baseline was composed of 32,817 fish from 402 collections representing 310 populations. Average population sample size was 106 fish. Reporting groups were determined through a combination of stakeholder needs and identifiability using genetic information, as measured using proof tests. The final reporting groups included Asia, Kotzebue Sound, Coastal Western Alaska, Upper Yukon River, Northern District (Alaska Peninsula), Northwest District (Alaska Peninsula), South Peninsula (Alaska Peninsula), Chignik/Kodiak, and East of Kodiak.</p>
Data from: Divergence of sexual size dimorphism between wild and hatchery chum salmon under intensive Japanese hatchery programs
Open the record for dataset details and reuse information.
Data from: Sonar estimation of summer chum and pink salmon in the Anvik River, Alaska, 2018
Open the record for dataset details and reuse information.
Chum salmon baseline for the Western Alaska Salmon Stock Identification Program
Open the record for dataset details and reuse information.
Data from: Congruent population structure across paralogous and non-paralogous loci in Salish Sea chum salmon (Oncorhynchus keta)
Whole genome duplications are major evolutionary events with a lasting impact on genome structure. Duplication events complicate genetic analyses as paralogous sequences are difficult to distinguish; consequently paralogs are often excluded from studies. The effects of an ancient whole genome duplication (approximately 88MYA) are still evident in salmonids through the persistence of numerous paralogous gene sequences and partial tetrasomic inheritance. We use restriction site-associated DNA sequencing (RADseq) on ten collections of chum salmon from the Salish Sea in the USA and Canada to investigate genetic diversity and population structure in both tetrasomic and re-diploidized regions of the genome. We use a pedigree and high-density linkage map to identify paralogous loci and to investigate genetic variation across the genome. By applying multivariate statistical methods, we show that it is possible to characterize paralogous genetic loci and that they display similar patterns of population structure as the diploidized portion of the genome. We find genetic associations with the adaptively important trait of run timing in both sets of loci. By including paralogous loci in genome scans, we can observe evolutionary signals in genomic regions that have routinely been excluded from population genetic studies in other polyploid-derived species.
Japanese chum salmon reproductive traits
<p>Geographic clines in life-history traits are often recognized as adaptations to the associated transitional environments. As life-history traits evolve in response to anthropogenic processes, these geographic clines can change over time.</p> <p>The geographic and temporal trends of reproductive traits in Japanese chum salmon Oncorhynchus keta were analyzed. Data were collected from 23 rivers located between 36° and 45° north latitude and 136° and 146° east longitude from 1994 to 2010.</p> <p>We confirmed the geographic clines of reproductive traits: relative gonad weight increased in more northeasterly locations, and females had fewer, but larger, eggs in more northeasterly locations after standardization by body size.</p> <p>The geographic clines changed over the years. The northeastward geographic trend of increasing gonad weight became more pronounced over time. Temporal trends toward smaller but more numerous eggs were evident, especially in northeasterly locations.</p> <p>Under natural and sexual selection, gonadal investment should be constrained by the energetic demands of the cost of migration, particularly in southwesterly locations (which are farthest from the feeding grounds), and by breeding competition during natural reproduction. In addition, females should have fewer but larger eggs owing to constraint on growth opportunities for their offspring in more northeasterly regions of Japan, which are colder and have less available food. However, global warming may mitigate this constraint on growth opportunities in northeastern Japan by increasing river water temperatures. Moreover, we consider that relaxation of the effects of natural and sexual selection on intense breeding competition and of early growth conditions has occurred through domestication selection by hatchery programs. These may have caused temporal shifts in geographic clines.</p> <p>We should consider several co-occurring anthropogenic impacts on natural and sexual selection when evaluating the life-history traits of organisms. For the sustainable use of biological resources, maintaining geographically adapted life-history traits during adaptation to climate change is essential. Therefore, the conservation of wild salmon populations formed by natural selection is preferable to the stocking of hatchery-reared fry.</p>
Data from: Number of alleles as a predictor of the relative assignment accuracy of STR and SNP baselines for chum salmon
Short tandem repeat (STR) markers, which exhibit many alleles per locus, are commonly used to assign fish to their populations of origin. Single nucleotide polymorphisms (SNPs), which have many technical advantages over STRs, typically exhibit only two alleles per locus. Simulation studies have indicated that number of independent alleles is a good predictor of accuracy of genetic markers for fishery applications. Extant STR baselines for salmon contain hundreds of alleles, and it has been extrapolated that hundreds of SNP markers need to be developed before SNP baselines will compare to these STR baselines. We compared 15 STRs exhibiting 349 independent alleles to 61 SNP assays exhibiting 66 independent alleles for accuracy in assigning to closely related populations of chum salmon. The SNP baseline yielded slightly higher mean accuracies for proportional assignment and comparable accuracies for individual assignment. Overall the SNP baseline performed considerably better, relative to the microsatellite baseline, than predicted based on the number of independent alleles in each baseline. We suggest that this discrepancy is due to the fact that the simulation studies do not capture the impacts of the different strategies commonly employed for discovering and selecting STR and SNP markers.
Data from: Number of alleles as a predictor of the relative assignment accuracy of STR and SNP baselines for chum salmon
Open the record for dataset details and reuse information.
Data from: Fine-scale sampling reveals distinct isolation by distance patterns in chum salmon (Oncorhynchus keta) populations occupying a glacially dynamic environment
Open the record for dataset details and reuse information.
Data from: Self-sustaining populations, population sinks or aggregates of strays: chum (Oncorhynchus keta) and Chinook salmon (O. tshawytscha) in the Wood River system, Alaska
Open the record for dataset details and reuse information.
Data from: Congruent population structure across paralogous and non-paralogous loci in Salish Sea chum salmon (Oncorhynchus keta)
Open the record for dataset details and reuse information.
Japanese chum salmon reproductive traits
Open the record for dataset details and reuse information.
Data from: Genetic assessment of a summer chum salmon metapopulation in recovery
Programs to rebuild imperiled wild fish populations often include hatchery-born fish derived from wild populations to supplement natural spawner abundance. These programs require monitoring to determine their demographic, biological, and genetic effects. In 1990s in Washington State, the Summer Chum Salmon Conservation Initiative developed a recovery program for the threatened Hood Canal summer chum salmon Evolutionarily Significant Unit (ESU) (the metapopulation) that used in-river spawners (wild fish) for each respective supplementation broodstock in six tributaries. Returning spawners (wild-born and hatchery-born) composed subsequent broodstocks, and tributary-specific supplementation was limited to three generations. We assessed impacts of the programs on neutral genetic diversity in this metapopulation using 16 microsatellite loci and a thirty-year dataset spanning before and after supplementation, roughly eight generations. Following supplementation, differentiation among subpopulations decreased (but not significantly) and isolation by distance patterns remained unchanged. There was no decline in genetic diversity in wild-born fish, but hatchery-born fish sampled in the same spawning areas had significantly lower genetic diversity and unequal family representation. Despite potential for negative effects from supplementation programs, few were detected in wild-born fish. We hypothesize that chum salmon natural history makes them less vulnerable to negative impacts from hatchery supplementation.
Supplementary material 1 from: Shaffer JA, Parks D, Campbell K, Moragne A, Hueske B, Adams P, Bauman JM (2023) Coastal beaver, Chinook, coho, chum salmon and trout response to nearshore changes resulting from diking and large-scale dam removals: synergistic ecosystem engineering and restoration in the coastal zone. Nature Conservation 53: 61-83. https://doi.org/10.3897/natureconservation.53.85421
Mean woody plant abundance surveyed from the riparian and shrub-emergent marsh vegetation
Data from: Linkage mapping with paralogs exposes regions of residual tetrasomic inheritance in chum salmon (Oncorhynchus keta)
Open the record for dataset details and reuse information.
Climate data collected during sonar estimation of summer chum and pink salmon in the Anvik River, Alaska, 2023
Open the record for dataset details and reuse information.
Sonar estimation of summer chum and pink salmon in the Anvik river, Alaska, 2022
Open the record for dataset details and reuse information.
Data from: Genetic assessment of a summer chum salmon metapopulation in recovery
Open the record for dataset details and reuse information.
Climate data collected during sonar estimation of summer chum and pink salmon in the Anvik River, Alaska, 2024
Open the record for dataset details and reuse information.
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.