NOAA Fisheries Alaska Regional Office and Alaska Fisheries Science Center’s Auke Bay Laboratories designed the Nearshore Fish Atlas of Alaska (NFA) to provide access to available data on the distribution, relative abundance, and habitat use of nearshore fishes in Alaska. The NFA is a spatially explicit, unified database of numerous nearshore catch datasets collected by various agencies and organizations in Alaska over the past several decades. The compiled datasets are from dozens of studies with different objectives and gear types (e.g., beach seines, purse seines, and trawls). The online NFA application has spatial and tabular tools for extensive searching, filtering, and downloading fully attributed data.

NMFS is mandated by the Marine Mammal Protection Act (MMPA) to measure and report on the effects of commercial fisheries on marine mammal stocks. One of the ways NMFS gathers this information is through the Marine Mammal Observer Program. The program In Alaska, collects information on marine mammal interactions with commercial fisheries. This information is incorporated in assessments of the general status of marine mammal populations in Alaska.

This database represents a summary of information on stranded marine mammals reported to NMFS throughout the State of Alaska in fulfillment of Title IV of the Marine Mammal Protection Act. These data include live and dead reports for cetaceans and pinnipeds.

This data set contains biological resource data for seals and sea lions in Southeast Alaska. Points in this data set represent locations of haulout and rookery sites. Species-specific abundance, seasonality, status, life history, and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer.This data set comprises a portion of the Environmental Sensitivity Index (ESI) data for Southeast Alaska. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. See also the M_MAMMAL (Marine Mammal Polygons) data layer, part of the larger Southeast Alaska ESI database, for additional marine mammal information.

The dataset contains trawl and seine catches from Southeast Alaskan estuaries sampled from 1995 to 2008. The data also include physical variables (temp, salinity, turbidity), and shorezone shoreline classifications.

This data set captures the tag release and recovery information for sablefish from the early 1970s until present. It also contains tag release and recovery data for several other species (shortspine thornyheads, Greeland turbot, Pacific sleeper sharks, spiny dogfish, and lingcod) which have been tagged by NMFS in AK since the late 1990s.

Aerial surveys were conducted to produce abundance estimates for the three Alaska stocks of harbor porpoise. Surveys occurred from May to July 1997 for the Southeast Alaska stock, May to July 1998 for the Gulf of Alaska stock, and June to July 1999 for the Bering Sea stock. Two primary observers observed from bubble windows on the left and right side of the plane. A belly window observer with a view directly down along the trackline collected sightings that were matched to the side observers and used to estimate a correction factor for perception bias that was specific to harbor porpoise in Alaskan waters.

This database contains information on individual sea lions that were marked or handled from 1985-2018. Individuals were handled for various projects including vital rate, telemetry and health studies. Many of the animals were either flipper tagged or branded. Capture techniques vary including; hand-capture of pups, hoop netting and underwater captures of juveniles, dart-delivered sedation of adult females, and floating pen capture of sub-adult and adult males.

Each year over 50 Alaskan groundfish stock assessments report the condition of Alaskan fisheries resources in the U.S. Exclusive Economic Zone. Stock assessment scientists integrate biological observations and theoretical considerations via population modeling techniques to produce population dynamic trends and biological yield estimation. This data set captures various stock assessment trends and estimations.

The objectives of these Arctic nearshore fish surveys is to measure seasonal changes in the distribution, demographics, trophic position and nutritional status of forage fish during the partial and complete ice-free season near Pt. Barrow, along the nearshore Chukchi and Beaufort Seas including Elson Lagoon, Alaska. These data will be related to biological and physical conditions observed near the Chukchi and Beaufort coasts and Elson Lagoon. Arctic Cod (Boreogadus saida), Saffron Cod (Eleginus gracilis), Capelin (Mallotus villosus), Sand Lance (Ammodytes hexapterus), Coregonids and sculpins will serve as the primary forage species targeted in the proposed work. The physical features to be measured include salinity, temperature, current direction and speed, wind direction and speed and bathymetry, but most importantly we seek a better understanding of how weather (wind) would affect the transport through the multi-inlet Elson Lagoon and its relation to coastal currents. Biological features include the community composition, abundance, distribution and quality of zooplankton prey available to forage fish. The catch data in this database include sampling efforts from 3 complimentary studies using similar gear in similar areas: ACES (Arctic Coastal Ecosystem Survey) and SHELFZ (Shelf Habitat and EcoLogy of Fish and Zooplankton), Ecology of Forage Fishes in the Arctic Nearshore. Data will be comparable to NOAAs previous efforts in the nearshore near Pt. Barrow (e.g. Thedinga et al. 2013). Combining these historical data with the proposed work will lead to an improved understanding of the relationship between forage fish and their nearshore habitats during the partial and complete ice-free period. The information developed by this proposed project is needed by those engaged in predicting impacts of climate change, developing oil and gas resources, managing foraging habitat of marine mammals, and planning for increased marine transportation.