gov.noaa.nmfs.inport:18964 eng UTF8 dataset Database 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 2025-09-24T12:17:44 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) AFSC/FMA/NPRB Alternative Catch Monitoring Table and Column Definitions AFSC/FMA/NPRB Alternative Catch Monitoring Table and Column Definitions publication NOAA/NMFS/EDM 18964 https://www.fisheries.noaa.gov/inport/item/18964 WWW:LINK-1.0-http--link Full Metadata Record View the complete metadata record on InPort for more information about this dataset. information tableDigital Faunce, C. H., J. A. Cahalan, J. Bonney, R. Swanson. 2013. Alternative catch monitoring of Alaskan groundfish. North Pacific Reseach Board Final Report Project 1017. These data arise from a field study of groundfish catch monitoring in Kodiak, AK trawl fisheries. Two monitoring components were included in the study: 1) at-sea sampling methods used by observers to sample species composition of catch and 2) shore-side sampling of delivered catch by observers to validate landings species composition reports. The at-sea portion of the study consisted of a side-by-side comparison (two observers) of a proposed new sampling method and the standard sampling method. Observer data were recorded at-sea on paper and transferred to an Oracle database. The shoreside component of this study consisted of observer species composition sampling in plants for later comparison with landings data. The shore-side data were collected by observers in processing plants, recorded on paper and transferred to an Oracle database. Data collection started in April 2011 and continued through August 2011. Third party landings data (NOAA Fisheries, Alaska Regional Office, Sustainable Fisheries Division) that were used in the analysis are stored in an oracle database. Data for both project components (at-sea and shoreside) were collected during normal fishing activities onboard commercial trawl catcher vessels and during normal processing activities in shore-based processing plants. This project investigated whether proposed changes to how observer data are collected on catcher vessels that deliver to shoreside processors result in greater accuracy and precision of catch estimates. The first component of the project compared standard and alternative methods of sampling catch that will be discarded at-sea (bycatch component), while the second component examined the effectiveness of using observer data to verify the accuracy of species identification on industry reports of retained catch (retained catch component). Specifically, the objectives of this project were to test (1) whether alternative at-sea sampling methods are (a) feasible aboard small catcher vessels in Alaska, and (b) result in lower variance in estimates of discard relative to current methods, and (2) test whether the accuracy of retained catch information can be improved through monitoring and verification of species identification by observers. Jennifer Cahalan completed Faunce, Craig craig.faunce@noaa.gov 206 526 4188 pointOfContact Thompson, Lisa 206-526-4229 7600 Sand Point Way NE Seattle WA 98115-6349 USA lisa.thompson@noaa.gov custodian asNeeded Fishery-Dependent Tracked Asset theme Fisheries Alaska groundfish fisheries Gulf of Alaska Kodiak AK at-sea discards bycatch catch estimation fisheries monitoring sampling shoreside processing species identification theme 2011 temporal Gulf of Alaska, Alaska Kodiak, Alaska 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 Alternative catch monitoring of Alaskan groundfish (NPRB 1017). project InPort otherRestrictions Cite As: Alaska Fisheries Science Center, [Date of Access]: AFSC/FMA/NPRB Alternative Catch Monitoring Table and Column Definitions [Data Date Range], https://www.fisheries.noaa.gov/inport/item/18964. 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: Confidentiality agreement required otherRestrictions Use Constraints: Limited to approved research confidential Confidential under provision of Magnuson-Stevens NOAA Data Management Plan (DMP) NOAA/NMFS/EDM 18964 https://www.fisheries.noaa.gov/inportserve/waf/noaa/nmfs/afsc/dmp/pdf/18964.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 oceans Oracle 11g Database managed by the office of information systems and engineered using Oracle Designer. -180 -120 42 60 Gulf of Alaska Data collection period. | Currentness: Ground Condition 2011-04-01 2011-07-01 false eng false Data Table Table: ATLAS_MONITOR 2016-05-18 publication Table: ATL_BIRD_AGE 2016-05-18 publication Table: ATL_BIRD_EVENT 2016-05-18 publication Table: ATL_BIRD_INTERAC_DETERRENT 2016-05-18 publication Table: ATL_BIRD_INTERAC_OUTCOME 2016-05-18 publication Table: ATL_BIRD_INTERAC_SPECIES 2016-05-18 publication Table: ATL_BIRD_SPECIES_TAG 2016-05-18 publication Table: ATL_BIRD_SPECIMEN 2016-05-18 publication Table: ATL_BIRD_VESSEL_INTERACT 2016-05-18 publication Table: ATL_CRUISE_PLANT 2016-05-18 publication Table: ATL_CRUISE_VESSEL 2016-05-18 publication Table: ATL_ERROR 2016-05-18 publication Table: ATL_ERROR_LOG 2016-05-18 publication Table: ATL_FISHING_TIME_LOST 2016-05-18 publication Table: ATL_FISH_INV_SPECIMEN 2016-05-18 publication Table: ATL_FISH_TICKET 2016-05-18 publication Table: ATL_FMA_TRIP 2016-05-18 publication Table: ATL_HAUL 2016-05-18 publication Table: ATL_HAUL_HOOK_COUNT 2016-05-18 publication Table: ATL_HOOKS_PER_SEGMENT 2016-05-18 publication Table: ATL_HOOK_COUNT_SET 2016-05-18 publication Table: ATL_LOV_ANIMAL_TYPE 2016-05-18 publication Table: ATL_LOV_BAIT_USED 2016-05-18 publication Table: ATL_LOV_BEAUFORT_SCALE 2016-05-18 publication Table: ATL_LOV_BIRD_AGE_CATEGORY 2016-05-18 publication Table: ATL_LOV_BIRD_COUNT_TYPE 2016-05-18 publication Table: ATL_LOV_BIRD_DETERERENT_USED 2016-05-18 publication Table: ATL_LOV_BIRD_EVENT_LOCATION 2016-05-18 publication Table: ATL_LOV_BIRD_EVENT_OUTCOME 2016-05-18 publication Table: ATL_LOV_BIRD_FISHERY 2016-05-18 publication Table: ATL_LOV_BIRD_HAULBACK 2016-05-18 publication Table: ATL_LOV_BIRD_INTERACTION 2016-05-18 publication Table: ATL_LOV_BIRD_LEG_BAND_COLOR 2016-05-18 publication Table: ATL_LOV_BIRD_SPECIMEN_TYPE 2016-05-18 publication Table: ATL_LOV_BIRD_TAG_LOCATION 2016-05-18 publication Table: ATL_LOV_BIRD_TAG_TYPE 2016-05-18 publication Table: ATL_LOV_BIRD_VESSEL_ACTIVITY 2016-05-18 publication Table: ATL_LOV_CDQ 2016-05-18 publication Table: ATL_LOV_CONDITION 2016-05-18 publication Table: ATL_LOV_DETERRENCE 2016-05-18 publication Table: ATL_LOV_ELANDING_MGT_PGM 2016-05-18 publication Table: ATL_LOV_GEAR_PERFORMANCE 2016-05-18 publication Table: ATL_LOV_GEAR_TYPE 2016-05-18 publication Table: ATL_LOV_HAUL_PURPOSE 2016-05-18 publication Table: ATL_LOV_MAMMAL_INTERACTION 2016-05-18 publication Table: ATL_LOV_MAMMAL_SPECIES_CODE 2016-05-18 publication Table: ATL_LOV_MAMMAL_SPECIMEN_TYPE 2016-05-18 publication Table: ATL_LOV_MATURITY 2016-05-18 publication Table: ATL_LOV_PLANT 2016-05-18 publication Table: ATL_LOV_PORT_CODE 2016-05-18 publication Table: ATL_LOV_PROHIB_SPECIES_GROUP 2016-05-18 publication Table: ATL_LOV_RBT_CODE 2016-05-18 publication Table: ATL_LOV_RST_CODE 2016-05-18 publication Table: ATL_LOV_SALMON_RELIABILITY 2016-05-18 publication Table: ATL_LOV_SAMPLE_SYSTEM_CODE 2016-05-18 publication Table: ATL_LOV_SAMPLE_UNIT 2016-05-18 publication Table: ATL_LOV_SPECIES_CODE 2016-05-18 publication Table: ATL_LOV_SPECIES_GROUP 2016-05-18 publication Table: ATL_LOV_SPECIES_MATURITY 2016-05-18 publication Table: ATL_LOV_SPECIMEN_TYPE 2016-05-18 publication Table: ATL_LOV_TIME_LOST_REASON 2016-05-18 publication Table: ATL_LOV_VESSEL 2016-05-18 publication Table: ATL_LOV_VESSEL_TYPE 2016-05-18 publication Table: ATL_LOV_WEATHER_CODE 2016-05-18 publication Table: ATL_MAMMAL 2016-05-18 publication Table: ATL_MAMMAL_INTERACTION 2016-05-18 publication Table: ATL_MAMMAL_SPECIMEN 2016-05-18 publication Table: ATL_MESSAGE 2016-05-18 publication Table: ATL_NON_FISHING_DAY 2016-05-18 publication Table: ATL_OBSERVER_CRUISE 2016-05-18 publication Table: ATL_OFFLOAD 2016-05-18 publication Table: ATL_PERCENT_RETAINED 2016-05-18 publication Table: ATL_SALMON 2016-05-18 publication Table: ATL_SAMPLE 2016-05-18 publication Table: ATL_SPECIES_COMPOSITION 2016-05-18 publication dataset Representativeness These data were subject to inseason review, and comprehensive debriefing. Data are subjected to automated error checking whenever changes are saved. Accuracy There are multiple layers of error checking. Initial values include database check constraints. Once transmitted extensive automated error checking occurs and near real time data confirmation and/or corrections are communicated to the observers. Bias Sampling bias due to the constraints of the physical environment is a known limitation, but does not appear to be significant over time. There are multiple layers of error checking. Initial values include database check constraints. Once transmitted extensive automated error checking occurs and near real time data confirmation and/or corrections are communicated to the observers. These data were part of a NPRB research Projects including video and conventional observer protocols. otherRestrictions otherRestrictions Access Constraints: None | Use Constraints: None