gov.noaa.nmfs.inport:22432 eng UTF8 dataset Alaska Fisheries Science Center 7600 Sand Point Way N.E., Building 4 Seattle WA 98115 USA https://www.afsc.noaa.gov WWW:LINK-1.0-http--link Website Website for this organization information 0700-1700 Pacific Time resourceProvider Intelmann, Steve (206) 526-4157 (206) 526-6723 7600 Sand Point Way N.E., Building 4 Seattle WA 98115 USA steve.intelmann@noaa.gov pointOfContact 2026-03-04T19:17:17 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) AFSC/RACE/GAP/McConnaughey: Pribilof Hydro-2009-From Archiver-Catchability Experiment, Bering Sea 38 KHz Acoustic Sediment Classification AFSC/RACE/GAP/McConnaughey: Pribilof Hydro-2009-From Archiver-Catchability Experiment, Bering Sea 38 KHz Acoustic Sediment Classification publication NOAA/NMFS/EDM 22432 https://www.fisheries.noaa.gov/inport/item/22432 WWW:LINK-1.0-http--link Full Metadata Record View the complete metadata record on InPort for more information about this dataset. information McConnaughey, Bob bob.mcconnaughey@noaa.gov originator mapDigital In stock assessment models, catchability is the link between an index of relative abundance from a fishery-independent survey and the modeled population size. For bottom trawl surveys that estimate the population size using swept-area methods, catchability can be estimated because it is largely determined by sampling efficiency (i.e., the proportion of animals within the sampled area that is caught) which can be experimentally measured. However, estimating survey catchability is complicated because trawl efficiency has been shown to vary over a survey area in response to variation in bottom sediment type. Catchability experiments have been conducted on the bottom trawl used for the annual Eastern Bering Sea (EBS) survey, resulting in a survey-wide estimate of catchability for snow crab (Chionoecetes opilio) which, when included in the stock assessment model, produced significant changes in the Allowable Catch Limit. This catchability model accounted for spatial variation in trawl efficiency as a function of crab size, sex, depth, and sediment type. Unfortunately, sediment data over the geographic distribution of snow crab are quite fragmentary due to the remoteness of the area, and direct estimates of sediment properties such as grain size are generally unavailable at the trawl-sampling locations. In some cases, estimates were based on sediments collected over 60 miles away. The option to collect sediment data at all 270 trawl-sampling stations included in the snow crab distribution is prohibitively expensive considering the additional ship time required and the sample processing costs. This project examined whether indices of bottom type, derived from calibrated ES-60 acoustic data collected at each snow crab sampling station and processed with IMPACT software produced by the Quester Tangent Corporation, are more informative in the snow crab bottom trawl catchability model than measured values of sediment type that were broadly extrapolated. This determination was based solely on the amount of spatial variation in the snow crab efficiency model that is explained by the two kinds of sediment information. While the currently used data are based on a directly measurable attribute of the sediment (mean grain diameter), the acoustically derived index is related to this attribute but also to a variety of previously unmeasured variables affecting the time-dependent shape of the bottom echo. The purpose of this record is to document the main entities and attributes of the ES-60 acoustic data after processing with IMPACT software produced by the Quester Tangent Corporation. completed Intelmann, Steve (206) 526-4157 (206) 526-6723 7600 Sand Point Way N.E., Building 4 Seattle WA 98115 USA steve.intelmann@noaa.gov pointOfContact McConnaughey, Bob bob.mcconnaughey@noaa.gov custodian notPlanned QTC acoustic sediment classification catchability theme alaska bering sea place DOC/NOAA/NMFS/AFSC > Alaska Fisheries Science Center, National Marine Fisheries Service, NOAA, U.S. Department of Commerce dataCentre Global Change Master Directory (GCMD) Data Center Keywords 2017-04-24 publication 8.5 Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA) https://forum.earthdata.nasa.gov/app.php/tag/GCMD%2BKeywords GCMD Keyword Forum Page Global Change Master Directory (GCMD). 2025. GCMD Keywords, Version 22. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords information custodian AFSC/RACE/GAP/McConnaughey: Pribilof Hydro-2009-From Archiver project InPort otherRestrictions Cite As: Alaska Fisheries Science Center, [Date of Access]: AFSC/RACE/GAP/McConnaughey: Pribilof Hydro-2009-From Archiver-Catchability Experiment, Bering Sea 38 KHz Acoustic Sediment Classification [Data Date Range], https://www.fisheries.noaa.gov/inport/item/22432. NOAA provides no warranty, nor accepts any liability occurring from any incomplete, incorrect, or misleading data, or from any incorrect, incomplete, or misleading use of the data. It is the responsibility of the user to determine whether or not the data is suitable for the intended purpose. otherRestrictions Access Constraints: None otherRestrictions Use Constraints: None unclassified NOAA Data Management Plan (DMP) NOAA/NMFS/EDM 22432 https://www.fisheries.noaa.gov/inportserve/waf/noaa/nmfs/afsc/dmp/pdf/22432.pdf WWW:LINK-1.0-http--link NOAA Data Management Plan (DMP) NOAA Data Management Plan for this record on InPort. information crossReference eng; US environment oceans Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.2.2.3552; The commercial software we used to process the ES60 data is IMPACT12.3.2. The processing algorithms used in the software are based on the following reference: Biffard, B. R. 2011. Seabed remote sensing by single-beam echosounder: models, methods and applications. Ph.D. dissertation. School of Earth and Ocean Sciences, University of Victoria. 356 p. -178.175582 -159.656657 54.832072 62.025063 | Currentness: Unknown 2009-06-03 2009-07-30 false eng false bothvessels_38khz 2019-05-31 publication dataset Completeness Report Only 38 kHz data were processed from the R/V Arcturus and R/V Aldeberan 2009 Bering Sea Surveys. Conceptual Consistency Data were collected over short period of time - one summer, using a calibrated instrument with consistent settings. unknown otherRestrictions Use Constraints: The United States Government shall not be held liable for improper or incorrect use of data described and/or contained herein. These data and related graphics are not legal documents and are not intended to be used as such. The Alaska Fisheries Science Center gives no warranty, expressed or implied, as to the accuracy, reliability, or completeness of these data. Spatial information may not meet National Map Accuracy Standards. The information contained in these data is dynamic and may change over time. Original data were compiled from various sources. The data are not better than the original sources from which they were derived. It is the responsibility of the data user to use the data appropriately and consistent within the limitations of geospatial data in general and these data in particular. It is strongly recommended that these data are directly acquired from an Alaska Fisheries Science Center server and not indirectly through other sources which may have changed the data in some way. Although these data have been used (processed) successfully on a computer system at the Alaska Fisheries Science Center, no warranty expressed or implied is made regarding the utility of the data on another system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. This disclaimer applies both to individual use of the data and aggregate use with other data.