The data contain yearly modeled estimates of Pacific salmon escapement (in annual metric tons of wet mass) from 1976 to 2015 across four regions of western North America. A second data file contains modeled estimates of contaminant or nutrient concentrations in Pacific Salmon. The modeled estimates were derived from Bayesian generalized linear models (contaminant or nutrient concentrations) or from Bayesian generalized additive models (Salmon Escapement).

The data contain yearly modeled estimates of Pacific salmon escapement (in annual metric tons of wet mass) from 1976 to 2015 across four regions of western North America. A second data file contains modeled estimates of contaminant or nutrient concentrations in Pacific Salmon. The modeled estimates were derived from Bayesian generalized linear models (contaminant or nutrient concentrations) or from Bayesian generalized additive models (Salmon Escapement).

This dataset represents habitat measurements and fish sampling (https://data.kingcounty.gov/Environment-Waste-Management/Fish-data-for-Juvenile-Pacific-salmonid-habitat-us/hznk-dan4) from the Snoqualmie and Green rivers in the Puget Sound region of Washington State, USA. Using a cataraft mounted with a boat electrofisher, these data were collected between late winter and late spring from 2016 through 2022. Measurements were of 25-m-long transects along six different edge habitat types in the two rivers. The edge habitats represented in this dataset are ‘armored banks’, ‘biorevetment banks’, ‘unarmored banks’, ‘bars’, ‘backwaters’, and ‘side channels’. These data were collected as part of monitoring of eight habitat restoration or bioengineered bank stabilization projects in the Snoqualmie and Green rivers, along with three more general studies of fish-habitat relationships in the two rivers. These data are analyzed and presented in the journal article “Juvenile Pacific salmonid habitat use in two Puget Sound lowland Rivers”, published in the Transactions of the American Fisheries Society (https://afspubs.onlinelibrary.wiley.com/doi/10.1002/tafs.10457). All data were collected by the King County Water and Land Resources Division, Science and Technical Support Section. Habitat data were collected during the day and include measurements of the width of low-velocity habitat (≤ 0.45m/s) and water depth along each transect. Fish sampling occurred after darkness fell the evening following habitat data collection. Fish data include the number of each species sampled at each transect and the number of seconds each transect was electrofished. For additional details on the data and collection methods, please see the associated journal article or contact the article authors: Aaron David (adavid@kingcounty.gov), Christopher Gregersen (chris.gregersen@kingcounty.gov), Joshua Kubo (josh.kubo@kingcounty.gov), Daniel Lantz (dan.lantz@kingcounty.gov), and James Bower (james.bower@kingcounty.gov).

This dataset represents fish sampling and habitat measurements (https://data.kingcounty.gov/Environment-Waste-Management/Habitat-data-for-Juvenile-Pacific-salmonid-habitat/mtrd-zgtr/about_data) from the Snoqualmie and Green rivers in the Puget Sound region of Washington State, USA. Using a cataraft mounted with a boat electrofisher, these data were collected between late winter and late spring from 2016 through 2022. Measurements were of 25-m-long transects along six different edge habitat types in the two rivers. The edge habitats represented in this dataset are ‘armored banks’, ‘biorevetment banks’, ‘unarmored banks’, ‘bars’, ‘backwaters’, and ‘side channels’. These data were collected as part of monitoring of eight habitat restoration or bioengineered bank stabilization projects in the Snoqualmie and Green rivers, along with three more general studies of fish-habitat relationships in the two rivers. These data are analyzed and presented in the journal article “Juvenile Pacific salmonid habitat use in two Puget Sound lowland Rivers”, published in the Transactions of the American Fisheries Society (https://afspubs.onlinelibrary.wiley.com/doi/10.1002/tafs.10457). All data were collected by the King County Water and Land Resources Division, Science and Technical Support Section. Habitat data were collected during the day and include measurements of the width of low-velocity habitat (≤ 0.45m/s) and water depth along each transect. Fish sampling occurred after darkness fell the evening following habitat data collection. Fish data include the number of each species sampled at each transect and the number of seconds each transect was electrofished. For additional details on the data and collection methods, please see the associated journal article or contact the article authors: Aaron David (adavid@kingcounty.gov), Christopher Gregersen (chris.gregersen@kingcounty.gov), Joshua Kubo (josh.kubo@kingcounty.gov), Daniel Lantz (dan.lantz@kingcounty.gov), and James Bower (james.bower@kingcounty.gov).

The U.S. Geological Survey (USGS) developed a regression model for estimating mean August baseflow per square mile of drainage area in cooperation with National Oceanic and Atmospheric Administration (NOAA) to help resource managers assess relative amounts of baseflow in streams with Maine Atlantic Salmon habitat (Lombard and others, 2021). The model was applied to each reach of a stream network derived from select National Hydrography Dataset Plus High-Resolution (NHDPlusHR) data in the State of Maine south of 46º 21′55″ N latitude. The spatial coverage developed from the stream network contains model-estimated mean August baseflow per square mile of drainage area as an attribute of each NHDPlusHR reach. It is provided here as a shapefile (“Maine_Mean_August_Baseflow_Map.zip”) and published as a Web Map Service (WMS) layer that is hosted as a state map layer on the StreamStats web application for Maine (https://streamstats.usgs.gov/ss/). Please note that the regression equation from Lombard and others (2021) used to calculate model-estimated mean August baseflow values was adapted for English units for this application. The adapted equation is as follows: BFaug = -0.623 + 0.00988AQ + 0.241JULYAVEPRE Where BFaug is the mean August baseflow in cubic feet per second per square miles of drainage area; AQ is the fraction of the basin underlain by sand and gravel aquifers; and JULYAVEPRE is the basin-wide average of the mean July precipitation in inches. The model has an adjusted coefficient of determination (R²) of 0.78 and a mean 95% prediction interval of plus or minus 0.183 cubic feet per second per square mile.

The U.S. Geological Survey (USGS) developed a regression model for estimating mean August baseflow per square mile of drainage area in cooperation with National Oceanic and Atmospheric Administration (NOAA) to help resource managers assess relative amounts of baseflow in streams with Maine Atlantic Salmon habitat (Lombard and others, 2021). The model was applied to each reach of a stream network derived from select National Hydrography Dataset Plus High-Resolution (NHDPlusHR) data in the State of Maine south of 46º 21′55″ N latitude. The spatial coverage developed from the stream network contains model-estimated mean August baseflow per square mile of drainage area as an attribute of each NHDPlusHR reach. It is provided here as a shapefile (“Maine_Mean_August_Baseflow_Map.zip”) and published as a Web Map Service (WMS) layer that is hosted as a state map layer on the StreamStats web application for Maine (https://streamstats.usgs.gov/ss/). Please note that the regression equation from Lombard and others (2021) used to calculate model-estimated mean August baseflow values was adapted for English units for this application. The adapted equation is as follows: BFaug = -0.623 + 0.00988AQ + 0.241JULYAVEPRE Where BFaug is the mean August baseflow in cubic feet per second per square miles of drainage area; AQ is the fraction of the basin underlain by sand and gravel aquifers; and JULYAVEPRE is the basin-wide average of the mean July precipitation in inches. The model has an adjusted coefficient of determination (R²) of 0.78 and a mean 95% prediction interval of plus or minus 0.183 cubic feet per second per square mile.

The shapefile contains the data necessary to recreate the analyses used in Jalbert et al., in review, Vulnerability of Pacific salmon to invasion of northern pike (Esox lucius) in southcentral Alaska. Specifically, users will be able to view 1) intrinsic potential model calculations for 5 Pacific salmonids (Chinook, chum, pink, sockeye, and coho salmon) and northern pike and 2) all parent nodes of the vulnerability model (human colonization, natural colonization, and habitat overlap) as well as their inputs. Finally, users are able to map vulnerability to invasion for each Pacific salmon species.

The shapefile contains the data necessary to recreate the analyses used in Jalbert et al., in review, Vulnerability of Pacific salmon to invasion of northern pike (Esox lucius) in southcentral Alaska. Specifically, users will be able to view 1) intrinsic potential model calculations for 5 Pacific salmonids (Chinook, chum, pink, sockeye, and coho salmon) and northern pike and 2) all parent nodes of the vulnerability model (human colonization, natural colonization, and habitat overlap) as well as their inputs. Finally, users are able to map vulnerability to invasion for each Pacific salmon species.

The U.S. Geological Survey (USGS) in cooperation with NOAA, developed a regression model for estimating August mean baseflow per square mile of drainage area to help resource managers assess relative amounts of baseflow in streams with Maine Atlantic Salmon habitat. The model was derived from August mean baseflows computed at 31 USGS streamgages in and near the Gulf of Maine Atlantic Salmon Habitat Recovery Units. An ordinary least squares regression model estimates August mean baseflow per unit drainage area using two explanatory variables: percentage of the basin underlain by sand and gravel aquifers, and the basin mean July precipitation. This model provides the means to estimate August mean baseflow in cubic feet per second per square mile of basin area on user-selected ungaged sites throughout Maine south of 46º 21′55″ N latitude. Estimates will support prioritization of habitat conservation and restoration work for those reaches that offer baseflow refugia during summer low-flow periods, and thus have the potential to be high-quality Atlantic Salmon habitat. This data release includes 3 excel tables of data used in these analyses.

The U.S. Geological Survey (USGS) in cooperation with NOAA, developed a regression model for estimating August mean baseflow per square mile of drainage area to help resource managers assess relative amounts of baseflow in streams with Maine Atlantic Salmon habitat. The model was derived from August mean baseflows computed at 31 USGS streamgages in and near the Gulf of Maine Atlantic Salmon Habitat Recovery Units. An ordinary least squares regression model estimates August mean baseflow per unit drainage area using two explanatory variables: percentage of the basin underlain by sand and gravel aquifers, and the basin mean July precipitation. This model provides the means to estimate August mean baseflow in cubic feet per second per square mile of basin area on user-selected ungaged sites throughout Maine south of 46º 21′55″ N latitude. Estimates will support prioritization of habitat conservation and restoration work for those reaches that offer baseflow refugia during summer low-flow periods, and thus have the potential to be high-quality Atlantic Salmon habitat. This data release includes 3 excel tables of data used in these analyses.