gov.noaa.nmfs.inport:7435
eng
UTF8
dataset
Database
Alaska Fisheries Science Center
7600 Sand Point Way N.E., Building 4
Seattle
WA
98115
USA
http://www.afsc.noaa.gov
WWW:LINK-1.0-http--link
Website
Website for this organization
information
0700-1700 Pacific Time
resourceProvider
Blair, Julie A
206 526 4053
(206)526-4066
7600 Sandpoint Way NE
Seattle
WA
98115
julie.blair@noaa.gov
0700-1630
Email
pointOfContact
2024-02-29T00:00:00
ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data
ISO 19115-2:2009(E)
AFSC/FMA/NPRB Halibut Bycatch Video Field Test
AFSC/FMA/Halibut Bycatch Video Field Test
publication
NOAA/NMFS/EDM
7435
https://www.fisheries.noaa.gov/inport/item/7435
WWW:LINK-1.0-http--link
Full Metadata Record
View the complete metadata record on InPort for more information about this dataset.
information
Cahalan, Jennifer
206 526 4185
jennifer.cahalan@noaa.gov
206 526 4185
originator
tableDigital
These data arise from a field test of electronic monitoring (EM) of vessels participating in the Pacific halibut fishery off Alaska. A side-by-side comparison was made of the hook-specific catch data reocrded by fishery observers and EM video reviewers.
There are two main components of this data: the data collected by observers and the data recorded by video reviewers (electronic monitoring). The observer data are stored in an oracle database. The hook-specific EM data have been matched to the obsever data (individual hook to individual hook) and are stored in an MS Access Database.
The goal of this project was to test the ability of EM systems to operate in a commercial setting by comparing estimates of bycatch based on data collected by an observer with estimates of bycatch based on data collected using electronic monitoring (EM).
This data was collected to meet two main objectives. The first objective of this reseach were to collect catch and bycatch data collection commercial halibut fishery longline vessels using three data collection methods 1) using EM 2) using standard Alaska Fisheries Science Center Observer Program monitoring and 3) using hook-specific documentation of catch. The second objective was to evaluate the relative efficiency, cost, and bias of each of two bycatch estimation methods (EM, NMFS Observers) relative to a standard (hook-specific catch documentation) to determine their suitability for use in fisheries management.
Jennifer Cahalan
completed
Cahalan, Jennifer
206 526 4185
jennifer.cahalan@noaa.gov
Email
pointOfContact
Narita, Renold E
ren.narita@noaa.gov
Email
custodian
asNeeded
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
Bycatch characterization in the Pacific halibut fishery: A field test of electronic monitoring technology.
project
InPort
otherRestrictions
Cite As: Alaska Fisheries Science Center, [Date of Access]: AFSC/FMA/NPRB Halibut Bycatch Video Field Test [Data Date Range], https://www.fisheries.noaa.gov/inport/item/7435.
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: Under the Magnuson-Stevens Act section 402(b)(2) any observer data shall be confidential and shall not be disclosed except in accordance with certain exceptions. Confidentiality of observer statistics is to be maintained under 50 CFR 600.415 - Access to statistics. Access to these data are provided to Federal, State, Council, Research Institutions and others who have a demonstrated need for such access, and who have submitted and been been granted approval, of limited access confidentiality agreements. These agreements are valid only for the duration of approved projects or research, the data released
confidential
Confidential under provision of Magnuson-Stevens
NOAA Data Management Plan (DMP)
NOAA/NMFS/EDM
7435
https://www.fisheries.noaa.gov/inportserve/waf/noaa/nmfs/afsc/dmp/pdf/7435.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
-180
-160
54
65
BSAI, GOA
Halibut Bycatch Special Project Field Work.
2008-05-01
2008-07-01
false
eng
false
Data Table
Data View
Table: CRUISE_VESSEL
2016-05-18
publication
Table: FMA_TRIP
2016-05-18
publication
Table: HAUL
2016-05-18
publication
Table: LOV_ANIMAL_TYPE
2016-05-18
publication
Table: LOV_BAIT_USED
2016-05-18
publication
Table: LOV_CDQ
2016-05-18
publication
Table: LOV_DETERRENCE
2016-05-18
publication
Table: LOV_GEAR_PERFORMANCE
2016-05-18
publication
Table: LOV_GEAR_TYPE
2016-05-18
publication
Table: LOV_PROHIB_SPECIES_GROUP
2016-05-18
publication
Table: LOV_RBT_CODE
2016-05-18
publication
Table: LOV_RST_CODE
2016-05-18
publication
Table: LOV_SALMON_RELIABILITY
2016-05-18
publication
Table: LOV_SPECIES_CODE
2016-05-18
publication
Table: LOV_SPECIES_MATURITY
2016-05-18
publication
Table: LOV_VESSEL
2016-05-18
publication
Table: LOV_VESSEL_TYPE
2016-05-18
publication
Table: OBSERVER_CRUISE
2016-05-18
publication
Table: PERCENT_RETAINED
2016-05-18
publication
Table: RECORD_STATUS
2016-05-18
publication
View: REPORTHAUL_V
2016-05-18
publication
Table: SALMON
2016-05-18
publication
Table: SAMPLE
2016-05-18
publication
Table: 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