AFSC/RACE/GAP/McConnaughey: Pribilof Hydro-2009-From Archiver-Catchability Experiment, Bering Sea 38 KHz Acoustic Sediment Classification
Alaska Fisheries Science Center
Data Set
(DS)
| ID: 22432
| Published / External
Created: 2014-10-29
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Last Modified: 2024-01-15
Project (PRJ) | ID: 32503
ID: 22432
Data Set (DS)
* Discovery• First Pass
» Metadata Rubric
Item Identification
* » Title | AFSC/RACE/GAP/McConnaughey: Pribilof Hydro-2009-From Archiver-Catchability Experiment, Bering Sea 38 KHz Acoustic Sediment Classification |
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Short Name | AFSC/RACE/GAP/McConnaughey: Pribilof Hydro-2009-From Archiver-Catchability Experiment, Bering Sea 38 KHz Acoustic Sediment Classification |
* Status | Completed |
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• Publication Date | |
* » Abstract |
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. |
* Purpose |
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. |
Notes |
Loaded by FGDC Metadata Uploader, batch 5179, 10-29-2014 10:15 The following FGDC sections are not currently supported in InPort, but were preserved and will be included in the FGDC export: - Entity Attribute Information (FGDC:eainfo) - Spatial Reference Information (FGDC:spref), - Spatial Data Organization Information (FGDC:spdoinfo) - Lineage (FGDC:lineage) |
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• Supplemental Information | |
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Keywords
Theme Keywords
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ISO 19115 Topic Category | environment |
ISO 19115 Topic Category | oceans |
None | acoustic sediment classification |
None | catchability |
None | QTC |
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* Spatial Keywords
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None | alaska |
None | bering sea |
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Physical Location
• » Organization | Alaska Fisheries Science Center |
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• » City | Seattle |
• » State/Province | WA |
• Country | USA |
• » Location Description |
Data Set Information
* Data Set Scope Code | Data Set |
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• Data Set Type | |
• Maintenance Frequency | None Planned |
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» Data Presentation Form | Map (digital) |
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Support Roles
* » Support Role | Data Steward |
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* » Date Effective From | 2015 |
Date Effective To | |
Person | McConnaughey, Bob |
Email Address | bob.mcconnaughey@noaa.gov |
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* » Support Role | Distributor |
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* » Date Effective From | 2015 |
Date Effective To | |
Organization | Alaska Fisheries Science Center (AFSC) |
Address |
7600 Sand Point Way N.E., Building 4 Seattle, WA 98115 USA |
Email Address | afsc.webmaster@noaa.gov |
Phone | (206) 526-4000 |
Fax | (206) 526-4004 |
Mobile | |
URL | https://www.fisheries.noaa.gov/about/alaska-fisheries-science-center |
Business Hours | 0700-1700 Pacific Time |
Contact Instructions |
* » Support Role | Metadata Contact |
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* » Date Effective From | 2014-10-29 |
Date Effective To | |
Person | Intelmann, Steve |
Address |
7600 Sand Point Way N.E., Building 4 Seattle, WA 98115 USA |
Email Address | steve.intelmann@noaa.gov |
Phone | (206) 526-4157 |
Fax | (206) 526-6723 |
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* » Support Role | Originator |
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* » Date Effective From | 2014-10-29 |
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Person | McConnaughey, Bob |
Email Address | bob.mcconnaughey@noaa.gov |
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* » Date Effective From | 2014-10-29 |
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Person | Intelmann, Steve |
Address |
7600 Sand Point Way N.E., Building 4 Seattle, WA 98115 USA |
Email Address | steve.intelmann@noaa.gov |
Phone | (206) 526-4157 |
Fax | (206) 526-6723 |
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Extents
Currentness Reference | Unknown |
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Extent Group 1
Extent Description |
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Extent Group 1 / Geographic Area 1
* » W° Bound | -178.175582 |
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* » E° Bound | -159.656657 |
* » N° Bound | 62.025063 |
* » S° Bound | 54.832072 |
* » Description |
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* » Time Frame Type | Range |
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* » Start | 2009-06-03 |
End | 2009-07-30 |
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Access Information
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* » Security Class | Unclassified |
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» Data Access Procedure |
unknown |
• » Data Access Constraints |
None |
• Data Use Constraints |
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Metadata 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. |
Distribution Information
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» Download URL | https://www.ncei.noaa.gov |
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Technical Environment
Description |
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. |
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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. |
» Quality Control Procedures Employed |
unknown |
Data Management
» Have Resources for Management of these Data Been Identified? | No |
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» Approximate Percentage of Budget for these Data Devoted to Data Management | Unknown |
» Do these Data Comply with the Data Access Directive? | No |
» Is Access to the Data Limited Based on an Approved Waiver? | Yes |
» If Distributor (Data Hosting Service) is Needed, Please Indicate | Yes |
» Approximate Delay Between Data Collection and Dissemination | Unknown |
» If Delay is Longer than Latency of Automated Processing, Indicate Under What Authority Data Access is Delayed |
No delay |
» Actual or Planned Long-Term Data Archive Location | NCEI-MD |
» Approximate Delay Between Data Collection and Archiving | unknown |
» How Will the Data Be Protected from Accidental or Malicious Modification or Deletion Prior to Receipt by the Archive? |
IT Security and Contingency Plan for the system establishes procedures and applies to the functions, operations, and resources necessary to recover and restore data as hosted in the Western Regional Support Center in Seattle, Washington, following a disruption. |
Lineage
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Related Items
Item Type | Relationship Type | Title |
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Catalog Details
Catalog Item ID | 22432 |
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Metadata Record Created By | Nancy Roberson |
Metadata Record Created | 2014-10-29 10:15+0000 |
Metadata Record Last Modified By | SysAdmin InPortAdmin |
» Metadata Record Last Modified | 2024-01-15 12:08+0000 |
Metadata Record Published | 2019-05-31 |
Owner Org | AFSC |
Metadata Publication Status | Published Externally |
Do Not Publish? | N |
Metadata Workflow State | Published / External |
Metadata Last Review Date | 2019-05-31 |
Metadata Review Frequency | 1 Year |
Metadata Next Review Date | 2020-05-31 |
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