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Seabird Diet Data Collected on Middleton Island, Gulf of Alaska
These data are part of the Gulf Watch Alaska (GWA) long-term monitoring program and contain diet data from Black-legged Kittiwakes (BLKI), Rhinoceros Auklets (RHAU), and Tufted puffins (TUPU) located on Middleton Island in Prince William Sound, Gulf of Alaska. The first table consists of information on seabird diet samples including the sampling method and number of prey types identified per sample ("seabirdDiets_foodSample_middletonIsland.csv"). The second table is similar to the first table, however, the samples have been subdivided by individual prey species ("seabirdDiets_samplePrey_middletonIsland.csv"). The third table consists of information specific to sampled prey items, such as prey taxa identification and morphometrics ("seabirdDiets_preyItems_middletonIsland.csv"). The fourth table consists of processed diet information and indices specific to Black-legged Kittiwake and Rhinoceros Auklet prey ("seabirdDiets_RHAU_BLKI_diets_middletonIsland.csv"). The fifth table contains prey species and seabird species taxonomy information ("seabirdDiets_speciesTaxonomy_middletonIsland.csv"). All samples included in the tables of this data release were collected during the spring and summer months from 1978-2022.
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Data from the Capture and Collection of Non-Die-Off Seabirds Across Alaska
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This data package contains one table with morphometric and diet information for "non-die-off" seabirds captured and collected in southcentral and southwest Alaska. Data pertains to birds captured (live) or collected (lethally) including, bird identification numbers, sampling dates, geographic locations, body measurements, diets (from either stomach contents or regurgitated prey), and sex and age of the bird when discernible. Common Murres (Uria aalge) and Black-legged Kittiwakes (Rissa tridactyla) were captured from their breeding colonies in lower Cook Inlet, Alaska, 2016-2023. Kittiwakes, murres, Glaucous-winged Gulls (Larus glaucescens) and Horned Puffins (Fratercula corniculata) were collected in Prince William Sound, Cook Inlet, and Unalaska.
AFSC/REFM: Seabird food habits dataset of the North Pacific
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The seabird food habits dataset contains information on the stomach contents from seabird specimens that were collected under salvage and scientific collection permits primarily by NMFS-certified fisheries observers deployed by the Pacific Islands Regional Office Observer Program to shallow and deep set pelagic longline fisheries operating in North Pacific waters and fisheries observers deployed by the Alaska Fisheries Science Center Observer Program to groundfish demersal longline, pot, and trawl fisheries in waters off Alaska. The database includes Magnuson-Act protected data on the precise date and location where the specimen was collected and publicly available information on the stomach contents. Necropsy data were completed as a parallel program.
Gridded Seabird Density Estimates in Lower Cook Inlet, Alaska
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This data set provides monthly (March–October) gridded density estimates for seabirds in lower Cook Inlet, Alaska. Gridded density estimates were produced by applying spatiotemporal modeling of at-sea survey data collected between 1975 and 2021 of seabird at-sea surveys available in the North Pacific Pelagic Seabird Database (NPPSD; Drew and Piatt 2015). We modeled joint dynamic species distributions of dark shearwaters (Ardenna spp., including A. grisea and A. tenuirostris), black-legged kittiwake (Rissa tridactyla), common murre (Uria aalge), pigeon guillemot (Cepphus columba), Kittlitz’s murrelet (Brachyramphus brevirostris), marbled murrelet (B. marmoratus), horned puffin (Fratercula corniculata), and tufted puffin (F. cirrhata). Together these species compose 77% of all birds counted on surveys in lower Cook Inlet
Black Oystercatcher Nest and Diet Data from Kachemak Bay, Katmai National Park and Preserve, Kenai Fjords National Park, and Prince William Sound
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These data are part of the Gulf Watch Alaska (GWA) long-term monitoring program, nearshore monitoring component. The dataset is comprised of six comma separated values (.csv) file exported from a relational database. The data consist of: 1) transect summary, 2) nest details, 3) egg float and stage data, 4) chicks diets, 5) chick diet taxonomy, and 6) Gulf Watch Alaska contributors.
Marine Bird and Mammal Survey Data from Prince William Sound, Alaska
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These data are part of the Gulf Watch Alaska (GWA) long term monitoring program, pelagic monitoring component. This dataset consists of one table, providing the results of surveys conducted to document the summer at-sea distribution and abundance of marine birds and mammals in Prince William Sound, Alaska. Surveys followed standard U.S. Fish and Wildlife protocols for strip surveys. Data include: transect ID, date, time, latitude, longitude, record number, data type, animal species, count, behavior, plumage, distance, observers, observer conditions, the altitude of the survey, ice presence, trip ID, beaufort, transect type, transect width, and comments.
Brant and Other Waterfowl Diets within Izembek Lagoon, Alaska, 1985-1988
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This data package presents legacy data collected during 1985-1988 at Izembek Lagoon on the western end of the Alaska Peninsula. The data were collected in support of a multi-year study focused on aircraft disturbance of waterfowl, particularly Black Brant, Emperor Geese, and Cackling Geese. The study was conducted at Izembek Lagoon and included several study sites within the lagoon: Halfway Point, Grant Point, Outer Marker, Quarter Point, Applegate Cove, Norma Bay, Round Island, and Banding Island. The primary objectives of the diet study were to 1) assess the diet of brant staging at Izembek Lagoon, 2) analyze the nutritional quality of brant foods to determine selection patterns for both plants and plant parts, and 3) determine the distribution and abundance of eelgrass. The raw data are provided in a .CSV format, however, PDF digital scans of original field data sheets, tables, figures, and maps are also available upon request.
Gulf Watch Alaska - Pelagic Ecosystems Forage Fish Component - Data from Prince William Sound: Distribution, Abundance, and Morphology of Fish, Zooplankton, and Predators and Oceanographic Conditions
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This data package includes 10 child items with data about the distribution, abundance, and morphology of forage fish, zooplankton, and predators, and oceanographic conditions during surveys in Prince William Sound, Alaska. Child Item 1: "Forage Fish Catch Data from Prince William Sound, Alaska". Child Item 2: "Forage Fish Morphology Data from Prince William Sound, Alaska". Child Item 3: "Forage Fish Size, Age, and Energy Density Data from Prince William Sound, Alaska". Child Item 4: "Forage Fish Aerial Validation Data from Prince William Sound, Alaska". Child Item 5: "Marine Bird and Mammal Survey Data from Prince William Sound, Alaska". Child Item 6: "Zooplankton Biomass Data from Prince William Sound, Alaska". Child Item 7: "Macrozooplankton Hydroacoustic Index Data from Prince William Sound, Alaska". Child Item 8: "Hydroacoustic Survey Data from Prince William Sound, Alaska". Child Item 9: "Nutrient Depth Profile Data from Prince William Sound, Alaska". Child Item 10: "Conductivity, Temperature, Depth Profile Data from Prince William Sound, Alaska"
Population Plots at Two Seabird Colonies in Lower Cook Inlet, Alaska
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This dataset consists of one table with annual counts from population plots of Black-legged Kittiwakes and Common Murres at two seabird nesting colonies on Gull and Chisik Islands in lower Cook Inlet, Alaska.
Age-0 Sablefish Size and Growth Indices from Seabird Diets at Middleton Island, Alaska
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This dataset provides annual summaries of information on age-0 sablefish in Rhinoceros Auklet (Cerorhinca monocerata) chick diets from Middleton Island, Alaska. This includes number of diet samples, number of sablefish sampled, proportion of total biomass, catch per unit effort, and frequency of occurrence for each year. We calculated an annual growth index for age-0 sablefish using the relationship between mean length by day and Julian day for each year (OLS[F = 24.44, df = 61, 184]: R^2 = 0.85, p < 0.001). From this model, growth (in mm per day) is the slope, and predicted length (in mm) is the length on the median Julian day = 205 (July 24). Annual anomalies of growth and length are calculated for each variable by subtracting the mean of all years.