The core function of the Resource Assessment and Conservation Engineering (RACE) Division is to conduct quantitative fishery surveys and related ecological and oceanographic research to measure and describe the distribution and abundance of commercially important fish and crab stocks in the eastern Bering Sea, Aleutian Islands, Gulf of Alaska, and, historically, the West Coast.The survey data are stored in a database called RACEBASE. It serves as the repository for both raw and summary data collected from the surveys dating from 1953 to present. It does not hold stream data.

The core function of the Resource Assessment and Conservation Engineering (RACE) Division is to conduct quantitative fishery surveys and related ecological and oceanographic research to measure and describe the distribution and abundance of commercially important fish and crab stocks in the eastern Bering Sea, Aleutian Islands, and Gulf of Alaska. This includes measuring the abundance of fish (including rockfishes) in rocky untrawlable areas. To accomplish this, we are mapping untrawlable areas using an ME70 multibeam data. These data area stored as image files ArcGIS shapefiles

The core function of the Resource Assessment and Conservation Engineering (RACE) Division is to conduct quantitative fishery surveys and related ecological and oceanographic research to measure and describe the distribution and abundance of commercially important fish and crab stocks in the eastern Bering Sea, Aleutian Islands, Gulf of Alaska, and, historically, the U.S. West Coast. As part of these efforts, oceanographic data is collected using an instrument attached to the bottom trawl headrope. The data includes: pH, turbidity, depth, temperature, salinity and O2. These data are stored on an AFSC server as .txt files.

This database contains information about shrimp surveys conducted by the National Marine Fisheries Service and the Alaska Department of Fish and Game in the Gulf of Alaska, Bering Sea and Aleutian Islands dating back to 1953. The main tables used for analysis are the shrimp.catch, shrimp.length, shrimp.cruise, and shrimp.haul tables. Join columns provide linkages between the tables.The shrimp.catch table contains catch weights and counts by haul. Not all catch weights have associated counts and in the earlier years of the time series the catch of all species was not recorded so care must be taken that a non-recorded catch is not interpretated as a zero catch. The shrimp.length table contains the length measurements of the shrimp and other taxa taken during the smallmesh survey.The Shrimp.cruise table contains information on each of the individual surveys called cruises included in the smallmesh database from the Bering Sea, Gulf of Alaska, and Aleutian Islands. The definition of a cruise has not been consistent over the years. Generally, a cruise is conducted by a single vessel in a single geographic area. For certain cruises however, multiple vessels participated in hauls ranging from the Bering Sea to the Gulf of Alaska. The records from some cruises contain as few as one haul while several consist of over 500 hauls. The Shrimp.haul table contains the basic information gathered for each haul including location, date and time, and gear information. Some of the hauls in the data set are from surveys not necessarily targeting shrimp, mainly the hauls in the Bering Sea and Aleutian Islands.

Assessing rockfish abundance in untrawlable habitats is a key area of study for the Alaska Fisheries Science Center. In order to accurately estimate abundance knowledge of rockfish response to the observation platform must be known. In 2013, we performed a series of experiments to examine rockfish response to a stereo drop camera. These data area stored as image files, .Rdata files, .sql3 files and as .xlsx files.

The GOA/AI Bottom Trawl Estimate database contains abundance estimates for the Alaska Biennial Bottom Trawl Surveys conducted in the Gulf of Alaska and the Aleutian Islands in alternate years. The estimates build upon raw and summary data available from the RACEBASE database and include calculated catch-per-unit-effort (cpue)s for principal species of groundfish and key invertebrates for each survey region. The cpues are averaged by survey strata, and then average cpues are multiplied by stratum areas which results in estimates of biomass and numerical abundance. Length and age data are combined with abundance to estimate the population at length and sex and population at age and sex.

We assembled 1.75 million National Ocean Service (NOS) bathymetric soundings from 225 lead-line and single-beam echosounder hydrographic surveys conducted from 1901 to 1999 in the central Gulf of Alaska. These bathymetry data are available from the National Geophysical Data Center (NGDC: http://www.ngdc.noaa.gov), which archives and distributes data that were originally collected by the NOS and others. While various bathymetry data have been downloaded previously from NGDC, compiled, and used for a variety of projects, our effort differed in that we compared and corrected the digital bathymetry by studying the original analog source documents - digital versions of the original survey maps, called smooth sheets. Our editing included deleting erroneous and superseded values, digitizing missing values, and properly aligning all data sets to a common, modern datum. There were several areas where these older surveys were superseded by more recent, higher quality multibeam surveys, mostly from the NOS (n=106). Three of these were unprocessed NOS multibeam surveys in the Sitka area, which we edited and processed into final bathymetric surfaces. We reduced the resolution of these multibeam surveys to 100 m, since some may have sub-meter resolution and many exceed a million soundings, and added them to our bathymetry compilation. We proofed, edited or digitized 96,000 cartographic features (mostly from the smooth sheets, some from the multibeam surveys), such as rocky reefs, kelp beds, rocks and islets, creating the most thorough source of these typically shallow, inshore features. The depth surface and inshore features, available at the Alaska Fisheries Science Center (AFSC: http://www.afsc.noaa.gov), were mostly produced at a map scale of 1:20,000.

We assembled 1.4 million National Ocean Service (NOS) bathymetric soundings from 98 lead-line and single-beam echosounder hydrographic surveys conducted from 1910 to 1999 in Cook Inlet, Alaska. These bathymetry data are available from the National Geophysical Data Center (NGDC: http://www.ngdc.noaa.gov), which archives and distributes data that were originally collected by the NOS and others. While various bathymetry data have been downloaded previously from NGDC, compiled, and used for a variety of projects, our effort differed in that we compared and corrected the digital bathymetry by studying the original analog source documents - digital versions of the original survey maps, called smooth sheets. Our editing included deleting erroneous and superseded values, digitizing missing values, and properly aligning all data sets to a common, modern datum. There were six areas where these older surveys were superseded by compilations of reduced-resolution multibeam surveys. We digitized 12,000 features, such as rocky reefs, kelp beds, rocks and islets, adding them to what was originally available, and creating the most thorough source (n = 18,000) of these typically shallow, inshore features. We also digitized 2,418 km of the mainland and 529 km of island shoreline, generally at a resolution of 1:20,000, and digitized 9,271 verbal surficial sediment descriptions from the smooth sheets. The depth surface, shoreline, inshore features, and sediment data sets are mostly produced at a scale of 1:20,000.

Assessing rockfish abundance in untrawlable habitats is a key area of study for the Alaska Fisheries Science Center. In order to accurately estimate abundance knowledge of rockfish height off bottom by species and fish length. Since 2013, we have performed a series of experiments to examine rockfish height off bottom using a triggered camera system. These data area stored as image files, .Rdata files, .sql3 files and as .xlsx files.

We assembled 1.4 million National Ocean Service (NOS) bathymetric soundings from 98 lead-line and single-beam echosounder hydrographic surveys conducted from 1910 to 1999 in Cook Inlet, Alaska. These bathymetry data are available from the National Geophysical Data Center (NGDC: http://www.ngdc.noaa.gov), which archives and distributes data that were originally collected by the NOS and others. While various bathymetry data have been downloaded previously from NGDC, compiled, and used for a variety of projects, our effort differed in that we compared and corrected the digital bathymetry by studying the original analog source documents - digital versions of the original survey maps, called smooth sheets. Our editing included deleting erroneous and superseded values, digitizing missing values, and properly aligning all data sets to a common, modern datum. There were six areas where these older surveys were superseded by compilations of reduced-resolution multibeam surveys. We digitized 12,000 features, such as rocky reefs, kelp beds, rocks and islets, adding them to what was originally available, and creating the most thorough source (n = 18,000) of these typically shallow, inshore features. We also digitized 2,418 km of the mainland and 529 km of island shoreline, generally at a resolution of 1:20,000, and digitized 9,271 verbal surficial sediment descriptions from the smooth sheets. The depth surface, shoreline, inshore features, and sediment data sets are mostly produced at a scale of 1:20,000.