20 datasets found
  1. T

    Salmon - Price Data

    • tradingeconomics.com
    • tr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Salmon - Price Data [Dataset]. https://tradingeconomics.com/commodity/salmon
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    xml, json, csv, excelAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 7, 2000 - Nov 21, 2025
    Area covered
    World
    Description

    Salmon rose to 76.24 NOK/KG on November 21, 2025, up 5.54% from the previous day. Over the past month, Salmon's price has risen 1.84%, but it is still 8.51% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. This dataset includes a chart with historical data for Salmon.

  2. m

    SalMar ASA - Stock Price Series

    • macro-rankings.com
    csv, excel
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    macro-rankings, SalMar ASA - Stock Price Series [Dataset]. https://www.macro-rankings.com/markets/stocks/salm-ol
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    csv, excelAvailable download formats
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    norway
    Description

    Stock Price Time Series for SalMar ASA. SalMar ASA, an aquaculture company, produces and sells farmed salmon in Norway, Asia, Europe, North America, and internationally. The company operates through Fish Farming Central Norway, Fish Farming Northern Norway, Icelandic Salmon, Sales & Industry, and SalMar Aker Ocean segments. It also engages in the broodstock, marine-phase farming, harvesting, processing, and smolt production activities. In addition, the company offers fish fillets and related products. SalMar ASA was incorporated in 1991 and is headquartered in Kverva, Norway.

  3. s

    Assessment of Sockeye and Pink Salmon Stocks in the Northern Boundary Area...

    • data.skeenasalmon.info
    Updated Jun 8, 2022
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    (2022). Assessment of Sockeye and Pink Salmon Stocks in the Northern Boundary Area Using Run Reconstruction Techniques, 1982-1995 - Dataset - Skeena Salmon Data Catalogue [Dataset]. https://data.skeenasalmon.info/dataset/sockeye-pink-salmon-northern-boundary-area-run-reconstruction-techniques-1982-1995
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    Dataset updated
    Jun 8, 2022
    Area covered
    Skeena River
    Description

    A multi-time-period method of stock reconstruction was used to estimate harvest and stock interception rates by area and time period, exploitation rates and total run size by stock. The data required for these reconstructions were catch by time and area, daily escapement by population (stock), the residence time of each population in each harvest area, and the routing of the populations. Migration routes for each stock were defined using information from the 1982-85 north coast tagging studies. The initial set of migration routing parameters were adjusted until the run reconstruction results approximated those from the tagging study years. Two different sets of migration parameters were required to fit the 1982 and 1983 interception rates for sockeye. While the 1983 set provided the best fit to the interception rates for Alaskan fisheries based on scale data for 1984-95, year to year variability can be substantial. Consequently, we incorporated all the available stock composition estimates for Alaskan fisheries into our sockeye reconstruction analysis.

  4. Yukon River Chinook salmon stocks analyzed using within-stock ordination to...

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    John H. Eiler; Allison N. Evans; Carl B. Schreck (2023). Yukon River Chinook salmon stocks analyzed using within-stock ordination to describe the migration patterns of individual fish returning to terminal tributaries based on average movement rates (km d-1) in sequential reaches of the basin. [Dataset]. http://doi.org/10.1371/journal.pone.0123127.t004
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    John H. Eiler; Allison N. Evans; Carl B. Schreck
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Yukon River
    Description

    Pearson’s r2 values represent the proportion of the multivariate data explained by the synthetic variables (axes).Yukon River Chinook salmon stocks analyzed using within-stock ordination to describe the migration patterns of individual fish returning to terminal tributaries based on average movement rates (km d-1) in sequential reaches of the basin.

  5. s

    Timing of Babine Lake Sockeye Salmon Stocks in the North-coast Commercial...

    • data.skeenasalmon.info
    Updated Jul 12, 2022
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    (2022). Timing of Babine Lake Sockeye Salmon Stocks in the North-coast Commercial Fishery As Shown By Several Taggings at the Babine Counting Fence and Rates of Travel Through the Skeena and Babine Rivers - Dataset - Skeena Salmon Data Catalogue [Dataset]. https://data.skeenasalmon.info/dataset/timing-of-babine-lake-sockeye-stocks-north-coast-commercial-fishery
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    Dataset updated
    Jul 12, 2022
    Area covered
    Jasper - Prince Rupert, Babine River, Skeena River, Babine Lake
    Description

    Approximate timing of Babine Lake stocks in the fishing area has been shown by tagging there and in the Skeena River estuary, and recovering tagged fish on Babine Lake spawning grounds (see Takagi and Smith MS 1973 for a summary). However, mixing with other major stocks in the tagging areas, removal of some tagged fish by recapture before they reached the river, and other causes have resulted in too few recoveries in some stocks to permit the precise management required in the intensive fishery. The purpose of this manuscript is to summarize the results of the "fence" taggings to estimate the most probable time and sequence of arrival of stocks there, and provide a best estimate of their time in the fishery by back-plotting according to the "outside" tagging programs. Data from several years of tagging of seaward migrants are also useful for estimating timing and we have also used this information in considering the possibility of exploiting Babine stocks at different rates on the basis of their different timing in the commercial fishery.

  6. Chinook salmon data sources, mean annual sample size per year, and relative...

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Bert Lewis; W. Stewart Grant; Richard E. Brenner; Toshihide Hamazaki (2023). Chinook salmon data sources, mean annual sample size per year, and relative exploitation rates by stock. [Dataset]. http://doi.org/10.1371/journal.pone.0130184.t001
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Bert Lewis; W. Stewart Grant; Richard E. Brenner; Toshihide Hamazaki
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Chinook salmon data sources, mean annual sample size per year, and relative exploitation rates by stock.

  7. Z

    Data from: Commercial Harvest of Klawock Lake Sockeye Salmon in the District...

    • data.niaid.nih.gov
    Updated Sep 18, 2022
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    Shedd, Kyle; Jalbert, Chase; Heinl, Steve; Reynolds-Manney, Anne (2022). Commercial Harvest of Klawock Lake Sockeye Salmon in the District 103 and 104 Purse Seine Fisheries, Southeast Alaska, 2018–2021 [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_7084196
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    Dataset updated
    Sep 18, 2022
    Dataset provided by
    Alaska Department of Fish and Game, Gene Conservation Laboratory
    Alaska Department of Fish and Game, Division of Commercial Fisheries
    Authors
    Shedd, Kyle; Jalbert, Chase; Heinl, Steve; Reynolds-Manney, Anne
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Southeast Alaska, Alaska, Klawock
    Description

    The Klawock Lake sockeye salmon (Oncorhynchus nerka) run supports one of the most heavily used subsistence fisheries in Southeast Alaska and is the primary sockeye salmon subsistence resource for the communities of Klawock and Craig. During the period 2011–2017, the average spawning population declined by 63% and the average reported subsistence harvest declined by 50% compared to the previous decade. A major source of uncertainty regarding the decline in Klawock Lake sockeye salmon abundance is the lack of information regarding harvest in commercial fisheries. This project will provided estimates of the harvest and run timing of Klawock Lake sockeye in nearby commercial purse seine fisheries for four years (2018–2021) through genetic mixed stock analysis of sampled harvests. The commercial fisheries in management Districts 103 and 104 were targeted because they are terminal to Klawock Lake and most of the commercial harvest of Klawock Lake sockeye salmon likely occurs in those districts. We further split District 103 into two spatial strata: Northern District 103 (subdistricts 50-90) and Southern District 103 (subdistricts 11-40). The commercial harvest of Klawock Lake sockeye salmon was highest in Northern District 103 in three of four years (2018–2020), and highest in District 104 in one year (2021). Klawock Lake sockeye were virtually absent in the commercial harvest in Southern District 103 in all four years (2018-2021). The total commercial harvest (Districts 103 and 104) of Klawock Lake sockeye salmon was 2,619 fish in 2018, 5,523 fish in 2019, 3,352 fish in 2020, and 6,677 fish in 2021. These data, combined with escapement and subsistence harvests, were used to produce the first estimates of total run size for Klawock Lake sockeye salmon. The total run size varied from year to year, with 13,147 fish in 2018, 14,953 fish in 2019, 19,702 fish in 2020, and 13,600 fish in 2021. Similarly, overall harvest rates varied from 43.9% in 2018 to 59.9% in 2021 (average = 50.9%). Commercial harvest rates averaged lower than the historical averages from nearby sockeye salmon stocks at Hugh Smith and McDonald Lakes. Commercial harvest rates were higher in odd-years than even-years, presumably due to increased fishing pressure on more abundant odd-year pink salmon. The subsistence harvest rates averaged higher (20.1%) than the subsistence harvest rates on McDonald and Hugh Smith Lakes (average < 2%).

  8. s

    Migration Timing and Harvest Rates of the Steelhead Trout Populations of the...

    • data.skeenasalmon.info
    Updated Jun 8, 2022
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    (2022). Migration Timing and Harvest Rates of the Steelhead Trout Populations of the Skeena River System - Dataset - Skeena Salmon Data Catalogue [Dataset]. https://data.skeenasalmon.info/dataset/migration-harvest-rates-steelhead-skeena-river-system
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    Dataset updated
    Jun 8, 2022
    Area covered
    Skeena River
    Description

    Migration timing and harvest rates of steelhead trout were examined in relation to the harvest of sockeye salmon in the mixed-stock fishery of the Skeena River. Summer-run steelhead overlap in their migration timing with sockeye salmon to a significant degree (Sprout and Kadowaki 1987). An assessment of the migration timing of specific steelhead stocks was needed to estimate stock-specific harvest rates. A previous PSARC Working Paper (S92-6,8) estimated the habitat carrying capacity and productivity for the main summer-run steelhead populations of the Skeena River. Allowable harvest rates and numbers of spawners and recruits at Maximum Sustained Yield (MSY) were estimated for individual populations (Tautz et al. 1992). This study compares estimates of steelhead harvest with the rates associated with MSY for each stock. Steelhead harvest in Area 4 was considered in relation to other fisheries of Alaska and the Canadian approach waters.

  9. d

    AFSC/ABL: Movements of Yukon River Chinook salmon

    • catalog.data.gov
    • fisheries.noaa.gov
    • +1more
    Updated Jun 1, 2025
    + more versions
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    (Point of Contact, Custodian) (2025). AFSC/ABL: Movements of Yukon River Chinook salmon [Dataset]. https://catalog.data.gov/dataset/afsc-abl-movements-of-yukon-river-chinook-salmon1
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    Dataset updated
    Jun 1, 2025
    Dataset provided by
    (Point of Contact, Custodian)
    Area covered
    Yukon River
    Description

    Upriver movements were determined for Chinook salmon Oncorhynchus tshawytscha returning to the Yukon River, a large, relatively pristine river basin. A total of 2,860 fish were radio tagged during 2002-2004, and 2,790 fish (98%) tracked upriver. Most fish exhibited continual upriver movements and strong fidelity to the terminal tributaries entered, with only a small percentage (2.5%) deviating from this pattern. Average movement rates were substantially slower for fish spawning in lower river tributaries (28-40 km d-1) compared to upper basin stocks (52-62 km d-1). Three distinct migratory patterns were observed, including a gradual decline, pronounced decline, and substantial increase in movement rate as the fish moved upriver. Stocks destined for the same region exhibited similar migratory patterns. Migratory patterns among individual fish within a stock showed substantial variation, but tended to reflect the regional pattern. Differences between consistently faster and slower fish explained 74% of the within-stock variation, whereas relative shifts in sequential movement rates between hares (faster fish becoming slower) and tortoises (slow but steady fish) explained 22% of the variation. Pulses of fish moving upriver were not cohesive. Fish tagged over a 4-day period took 14 and 16 d to pass tracking station sites 580 and 872 km upriver, respectively. Movement data provided valuable insights into the run dynamics of the return, but individual variation among fish complicates efforts to manage in-river fisheries. The diverse migratory patterns exhibited by the fish also suggest that movement studies based on small numbers of individuals may not adequately reflect the patterns exhibited by the larger population. Movement rates were substantially faster and the percentage of atypical movements considerably less than reported in more southern drainages, but may also reflect the pristine conditions within the Yukon River, wild origins of the fish, and relatively discrete run timing of the returns.

  10. f

    Summary of the number of fish sampled by month, year, site, genetic stock of...

    • figshare.com
    xls
    Updated May 31, 2023
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    Pascale A. L. Goertler; Mark D. Scheuerell; Charles A. Simenstad; Daniel L. Bottom (2023). Summary of the number of fish sampled by month, year, site, genetic stock of origin and hatchery (H) or wild (W) origin. [Dataset]. http://doi.org/10.1371/journal.pone.0162121.t003
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Pascale A. L. Goertler; Mark D. Scheuerell; Charles A. Simenstad; Daniel L. Bottom
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Each site was coded by the sampling design, with the first letter representing the reach and the second letter representing the habitat type (e.g., the mainstem channel of reach C was CM).

  11. f

    Data from: Fishery and Hatchery Effects on an Endangered Salmon Population...

    • datasetcatalog.nlm.nih.gov
    • tandf.figshare.com
    Updated Oct 11, 2017
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    Mohr, Michael S.; O’Farrell, Michael R.; Winship, Arliss J. (2017). Fishery and Hatchery Effects on an Endangered Salmon Population with Low Productivity [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001745416
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    Dataset updated
    Oct 11, 2017
    Authors
    Mohr, Michael S.; O’Farrell, Michael R.; Winship, Arliss J.
    Description

    We estimated the natural spawner–fry stock–recruitment relationship and juvenile survival rates for Sacramento River winter Chinook Salmon Oncorhynchus tshawytscha in California and used these estimates to examine the expected numbers of spawners and fishing mortality under different fishing mortality rates and levels of hatchery supplementation. A stochastic, age-structured population dynamics model was fit to fry and female spawner abundance data for the years 1996–2010. Estimated survival rates of fry through the end of the first year in the ocean were generally <0.5%. Estimated survival rates of hatchery-origin fish from egg to the end of the first year in the ocean were on average about four times greater than the estimated maximum rate for natural-origin fish. The hatchery program was estimated to increase the number of spawners returning to natural spawning areas and thereby increase the fishing mortality rate that could be sustained. Assessing the past or future net effect of the hatchery on the size of the natural population would require quantifying any potential reduction in the productivity of the natural population as a result of reduced fitness of hatchery-origin fish spawning in natural spawning areas. Received February 21, 2013; accepted December 14, 2013.

  12. Migratory Patterns of Wild Chinook Salmon Oncorhynchus tshawytscha Returning...

    • plos.figshare.com
    ai
    Updated May 31, 2023
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    John H. Eiler; Allison N. Evans; Carl B. Schreck (2023). Migratory Patterns of Wild Chinook Salmon Oncorhynchus tshawytscha Returning to a Large, Free-Flowing River Basin [Dataset]. http://doi.org/10.1371/journal.pone.0123127
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    aiAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    John H. Eiler; Allison N. Evans; Carl B. Schreck
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Upriver movements were determined for Chinook salmon Oncorhynchus tshawytscha returning to the Yukon River, a large, virtually pristine river basin. These returns have declined dramatically since the late 1990s, and information is needed to better manage the run and facilitate conservation efforts. A total of 2,860 fish were radio tagged during 2002–2004. Most (97.5%) of the fish tracked upriver to spawning areas displayed continual upriver movements and strong fidelity to the terminal tributaries entered. Movement rates were substantially slower for fish spawning in lower river tributaries (28–40 km d-1) compared to upper basin stocks (52–62 km d-1). Three distinct migratory patterns were observed, including a gradual decline, pronounced decline, and substantial increase in movement rate as the fish moved upriver. Stocks destined for the same region exhibited similar migratory patterns. Individual fish within a stock showed substantial variation, but tended to reflect the regional pattern. Differences between consistently faster and slower fish explained 74% of the within-stock variation, whereas relative shifts in sequential movement rates between “hares” (faster fish becoming slower) and “tortoises” (slow but steady fish) explained 22% of the variation. Pulses of fish moving upriver were not cohesive. Fish tagged over a 4-day period took 16 days to pass a site 872 km upriver. Movement rates were substantially faster and the percentage of atypical movements considerably less than reported in more southerly drainages, but may reflect the pristine conditions within the Yukon River, wild origins of the fish, and discrete run timing of the returns. Movement data can provide numerous insights into the status and management of salmon returns, particularly in large river drainages with widely scattered fisheries where management actions in the lower river potentially impact harvests and escapement farther upstream. However, the substantial variation exhibited among individual fish within a stock can complicate these efforts.

  13. Stock proportion estimates and standard deviations for genetically...

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Michael H. H. Price; Stan L. Proboszcz; Rick D. Routledge; Allen S. Gottesfeld; Craig Orr; John D. Reynolds (2023). Stock proportion estimates and standard deviations for genetically identified juvenile sockeye salmon. [Dataset]. http://doi.org/10.1371/journal.pone.0016851.t001
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Michael H. H. Price; Stan L. Proboszcz; Rick D. Routledge; Allen S. Gottesfeld; Craig Orr; John D. Reynolds
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Stock proportion estimates and standard deviations for genetically identified juvenile sockeye salmon.

  14. Travel distances associated with the last tracking station passed by...

    • plos.figshare.com
    xls
    Updated Jun 5, 2023
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    John H. Eiler; Allison N. Evans; Carl B. Schreck (2023). Travel distances associated with the last tracking station passed by radio-tagged Chinook salmon stocks returning to terminal tributaries in the Yukon River basin during 2002–2004. [Dataset]. http://doi.org/10.1371/journal.pone.0123127.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    John H. Eiler; Allison N. Evans; Carl B. Schreck
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Yukon River
    Description

    Distances (km) from the last station to 1) the first station in the lower basin (Paimiut), 2) the Yukon River main stem (Yukon), and 3) spawning sites within the tributary (Final) are presented. Stocks with the last station located on the Yukon River main stem are indicated, with the distance still to travel to reach the tributary in parentheses. The number of fish, movement rate (km d-1) for the reach (from the previous station to the last station), standard error (SE) and coefficient of variation (CV) are also presented. Stocks represented by less than 10 fish or lacking spawning sites information are not listed.1Confluence of the Yukon River and the terminal tributary.2Distance traveled from last station to spawning sites within the tributary (final location of fish). Reflects distance from the tributary mouth to spawning sites for stocks with last station on Yukon River main stem.3Final station located on Yukon River main stem downriver from the terminal tributary.Travel distances associated with the last tracking station passed by radio-tagged Chinook salmon stocks returning to terminal tributaries in the Yukon River basin during 2002–2004.

  15. Best statistical models describing early marine survival rates for selected...

    • plos.figshare.com
    xls
    Updated Jun 9, 2023
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    R. Ian Perry; Kelly Young; Moira Galbraith; Peter Chandler; Antonio Velez-Espino; Steve Baillie (2023). Best statistical models describing early marine survival rates for selected stocks of Chinook and Coho salmon entering the Strait of Georgia as juveniles, against the available zooplankton and physical variables. [Dataset]. http://doi.org/10.1371/journal.pone.0245941.t006
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    xlsAvailable download formats
    Dataset updated
    Jun 9, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    R. Ian Perry; Kelly Young; Moira Galbraith; Peter Chandler; Antonio Velez-Espino; Steve Baillie
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Strait of Georgia
    Description

    Best statistical models describing early marine survival rates for selected stocks of Chinook and Coho salmon entering the Strait of Georgia as juveniles, against the available zooplankton and physical variables.

  16. A list of geographic coordinates for the study sites (adapted from Teel et...

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Pascale A. L. Goertler; Mark D. Scheuerell; Charles A. Simenstad; Daniel L. Bottom (2023). A list of geographic coordinates for the study sites (adapted from Teel et al. [16]). [Dataset]. http://doi.org/10.1371/journal.pone.0162121.t001
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Pascale A. L. Goertler; Mark D. Scheuerell; Charles A. Simenstad; Daniel L. Bottom
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    A list of geographic coordinates for the study sites (adapted from Teel et al. [16]).

  17. Summary of the ΔAICc values for each number of trends and capture group...

    • plos.figshare.com
    xls
    Updated Jun 21, 2023
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    Pascale A. L. Goertler; Mark D. Scheuerell; Charles A. Simenstad; Daniel L. Bottom (2023). Summary of the ΔAICc values for each number of trends and capture group without covariates. [Dataset]. http://doi.org/10.1371/journal.pone.0162121.t004
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    xlsAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Pascale A. L. Goertler; Mark D. Scheuerell; Charles A. Simenstad; Daniel L. Bottom
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    X denotes models that were not completed.

  18. Average movement rate (km d-1) of radio-tagged Chinook salmon with complete...

    • plos.figshare.com
    xls
    Updated May 30, 2023
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    John H. Eiler; Allison N. Evans; Carl B. Schreck (2023). Average movement rate (km d-1) of radio-tagged Chinook salmon with complete tracking records (recorded by all tracking stations along their migratory route) returning to terminal tributaries in the Yukon River basin during 2002–2004. [Dataset]. http://doi.org/10.1371/journal.pone.0123127.t002
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    xlsAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    John H. Eiler; Allison N. Evans; Carl B. Schreck
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Yukon River
    Description

    Stocks represented by less than 10 fish are not listed. The number of tracking stations along the migratory route, number of fish, average movement rate, standard error (SE) and coefficient of variation (CV) are indicated for the principal stocks of the return.1 Composite of headwater stocks, including Henshaw, South Fork, and Middle Fork rivers.2 Primarily Miner River fish, but also including fish returning to the Old Crow River and Whitestone River.3 Including fish returning to the Takhini River and other headwater tributaries.Average movement rate (km d-1) of radio-tagged Chinook salmon with complete tracking records (recorded by all tracking stations along their migratory route) returning to terminal tributaries in the Yukon River basin during 2002–2004.

  19. Tinned Fish Market Size, Growth Drivers, Trends Report 2025 – 2030

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Aug 12, 2025
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    Mordor Intelligence (2025). Tinned Fish Market Size, Growth Drivers, Trends Report 2025 – 2030 [Dataset]. https://www.mordorintelligence.com/industry-reports/tinned-fish-market
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    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Aug 12, 2025
    Dataset provided by
    Authors
    Mordor Intelligence
    License

    https://www.mordorintelligence.com/privacy-policyhttps://www.mordorintelligence.com/privacy-policy

    Time period covered
    2020 - 2030
    Area covered
    Global
    Description

    The Tinned Fish Market is Segmented by Type (Tuna, Mackerel, Salmon, and More), Price (Mass and Premium), Preservation Medium (In Oil, in Brine, and Others), Fish Source (Wild-Caught and Farm-Raised), Distribution Channel (Supermarkets/Hypermarkets, Convenience Stores, Specialty Stores, Online Stores, and Other Distribution Channels), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

  20. List of 20 threatened and near threatened species identified in this study,...

    • plos.figshare.com
    xls
    Updated Jun 15, 2023
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    Adrian Munguia-Vega; Renata Terrazas-Tapia; Jose F. Dominguez-Contreras; Mariana Reyna-Fabian; Pedro Zapata-Morales (2023). List of 20 threatened and near threatened species identified in this study, including scientific name, common name, commercial name under which they were sold, if the sample was mislabeled or not, IUCN red list category, and if the species is included in any of CITES appendices, and total number of samples identified. [Dataset]. http://doi.org/10.1371/journal.pone.0265960.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 15, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Adrian Munguia-Vega; Renata Terrazas-Tapia; Jose F. Dominguez-Contreras; Mariana Reyna-Fabian; Pedro Zapata-Morales
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    List of 20 threatened and near threatened species identified in this study, including scientific name, common name, commercial name under which they were sold, if the sample was mislabeled or not, IUCN red list category, and if the species is included in any of CITES appendices, and total number of samples identified.

  21. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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TRADING ECONOMICS, Salmon - Price Data [Dataset]. https://tradingeconomics.com/commodity/salmon

Salmon - Price Data

Salmon - Historical Dataset (2000-01-07/2025-11-21)

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10 scholarly articles cite this dataset (View in Google Scholar)
xml, json, csv, excelAvailable download formats
Dataset authored and provided by
TRADING ECONOMICS
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Jan 7, 2000 - Nov 21, 2025
Area covered
World
Description

Salmon rose to 76.24 NOK/KG on November 21, 2025, up 5.54% from the previous day. Over the past month, Salmon's price has risen 1.84%, but it is still 8.51% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. This dataset includes a chart with historical data for Salmon.

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