Short Citation:
Southwest Fisheries Science Center, 2021: AIS data, https://www.fisheries.noaa.gov/inport/item/54048.

Item Identification

Title: AIS data
Short Name: AIS data
Status: On Going
Creation Date: 2017
Publication Date: 2018-03
Abstract:

Automatic identification system (AIS) data are used to identify and track vessels for various purposes (primarily navigational safety). These data can be used to study vessel traffic, such as ship routing and speed over ground (SOG). Source data were obtained from the United States Coast Guard Navigation Center (USCG NAVCEN) for the period from June 2008 to December 2015. Derived data resulting from the processing of the source data are described here. This data set presents annual raster data (1 square kilometer grid size) off California from 2008-2015 for cumulative ship traffic density (kilometers/day) and mean SOG (knots; distance-weighted). The universe of data is limited to vessels with a length greater than or equal to 80 meters. The data are analyzed in three groups: freight vessels (container, general cargo, bulk carrier, refrigerated cargo, vehicle carrier, etc.), tanker vessels (crude oil, chemical/products, liquid petroleum gas, etc.) and all vessels (the previously noted vessels, plus passenger vessels and other vessel classes). The data are contained in a file geodatabase format as raster data sets. Metadata for the overall data set are contained at the level of the file geodatabase. The data were generated and used for a research article (Moore et al. 2018):

Moore, T.J., Redfern, J.V., Carver, M., Hastings, S., Adams, J.D., Silber, G.K., 2018. Exploring Ship Traffic Variability off California. Ocean and Coastal Management. https://doi.org/10.1016/j.ocecoaman.2018.03.010

See this manuscript for more information on the data description, issues, and processing methods.

Purpose:

These data were developed to support conservation research related to marine mammal risk assessment (e.g., ship strike risk).

Other Citation Details:

To cite these data please reference:

Moore, T.J., Redfern, J.V., Carver, M., Hastings, S., Adams, J.D., Silber, G.K., 2018. Exploring ship traffic variability off California. Ocean & Coastal Management 163, 515-527. DOI: 10.1016/j.ocecoaman.2018.03.010

Moore, T.J., 2018. Vessel density and vessel speed data off California: 2008-2015, Mendeley Data, v1. DOI: 10.17632/4tgwv45bz8.1

DOI (Digital Object Identifier): 10.17632/4tgwv45bz8.1
DOI Registration Authority: DataCite
DOI Issue Date: 2018-03-26

Keywords

Theme Keywords

Thesaurus Keyword
NA GIS
NA maritime shipping
NA ship traffic
NA vessel density
NA vessel speed

Temporal Keywords

Thesaurus Keyword
NA 2008-2015
NA annual

Spatial Keywords

Thesaurus Keyword
NA California
NA EEZ
NA Exclusive Economic Zone
NA Mexico
NA Northern Baja California

Instrument Keywords

Thesaurus Keyword
NA AIS
NA automatic identification system

Platform Keywords

Thesaurus Keyword
NA Terrestrial AIS Receivers

Physical Location

Organization: Southwest Fisheries Science Center
City: La Jolla
State/Province: CA
Country: USA

Data Set Information

Data Set Scope Code: Data Set
Data Set Type: GIS dataset of raster files
Maintenance Frequency: None Planned
Data Presentation Form: Map (digital)
Entity Attribute Overview:

The raster data set names are formatted as follows:

shiptraffic_calif_YYYY_SMOEMO_ATTRIB_lenge80_ENT_prj

YYYY = year (2008-2015)

SMOEMO = start month and end month (jundec or jandec)

ATTRIB = mean vessel density (kmperday) or mean distance-weighted vessel speed over ground (sog)

ENT = type of vessels: frt (freight) or tnk (tanker) or all (frt + tnk + other vessel types).

The universe of vessels is large vessels (>= 80 meters in length). Vessel types are discussed in more detail in the journal article associated with these data and the supplemental online information for that article.

Support Roles

Author

CC ID: 784600
Date Effective From: 2017
Date Effective To: 2019-06-14
Contact (Person): Moore, Thomas J
Address: 8901 La Jolla Shores Dr
La Jolla, CA 92037
USA
Email Address: thomas.j.moore@noaa.gov
Phone: (858) 546-7088
Fax: (858) 546-7003
Business Hours: M-F 9:00 - 18:00

Data Steward

CC ID: 784602
Date Effective From: 2019-06-14
Date Effective To:
Contact (Person): Redfern, Jessica V
Address: 8901 La Jolla Shores Dr
La Jolla, CA 92037
USA
Email Address: jessica.redfern@noaa.gov
Phone: (858) 546-7117
Fax: (858) 546-7003
Business Hours: M-F 8:00 - 16:30

Distributor

CC ID: 838916
Date Effective From: 2019-05-06
Date Effective To:
Contact (Organization): Southwest Fisheries Science Center (SWFSC)
Address: 8901 La Jolla Shores Dr.
La Jolla, CA 92037
USA
Phone: (858)546-7000
URL: http://swfsc.noaa.gov/
Business Hours: 8:00-16:30

Metadata Contact

CC ID: 784599
Date Effective From: 2018-06-14
Date Effective To:
Contact (Person): Redfern, Jessica V
Address: 8901 La Jolla Shores Dr
La Jolla, CA 92037
USA
Email Address: jessica.redfern@noaa.gov
Phone: (858) 546-7117
Fax: (858) 546-7003
Business Hours: M-F 8:00 - 16:30

Point of Contact

CC ID: 784604
Date Effective From: 2018-10-04
Date Effective To:
Contact (Person): Redfern, Jessica V
Address: 8901 La Jolla Shores Dr
La Jolla, CA 92037
USA
Email Address: jessica.redfern@noaa.gov
Phone: (858) 546-7117
Fax: (858) 546-7003
Business Hours: M-F 8:00 - 16:30

Point of Contact

CC ID: 784603
Date Effective From: 2018-10-04
Date Effective To: 2019-06-14
Contact (Person): Moore, Thomas J
Address: 8901 La Jolla Shores Dr
La Jolla, CA 92037
USA
Email Address: thomas.j.moore@noaa.gov
Phone: (858) 546-7088
Fax: (858) 546-7003
Business Hours: M-F 9:00 - 18:00

Extents

Currentness Reference: Ground Condition

Extent Group 1

Extent Description:

Geographic Extent (Horizontal) and Temporal Extent (Annual)

Extent Group 1 / Geographic Area 1

CC ID: 784591
W° Bound: -128.9
E° Bound: -116.6
N° Bound: 42
S° Bound: 30.5
Description

California coast within Exclusive Economic Zone (EEZ). Small area off the coast of northern Baja California in Mexico.

Extent Group 1 / Time Frame 1

CC ID: 784605
Time Frame Type: Range
Start: 2008
End: 2015
Description:

Annual data sets. Source data begins in June for 2008.

Spatial Information

Spatial Resolution

Horizontal Distance: 1.0 Kilometer
Level of Detail Description:

One square kilometer grid cells.

Spatial Representation

Representations Used

Grid: Yes
Vector: No
Text / Table: No
TIN: No
Stereo Model: No
Video: No

Grid Representation 1

CC ID: 784584
Dimension Count: 3
Cell Geometry: Area
Transformation Parameters Available?: Yes

Axis Dimension 1

Dimension Type: Row
Size: 1278
Resolution Type: Length
Resolution: 1.0 Kilometer

Grid Representation 2

CC ID: 784586
Dimension Count: 3
Cell Geometry: Area
Transformation Parameters Available?: Yes

Axis Dimension 1

Dimension Type: Column
Size: 1084
Resolution Type: Distance
Resolution: 1.0 Kilometer

Grid Representation 3

CC ID: 784588
Dimension Count: 3
Cell Geometry: Area
Transformation Parameters Available?: Yes

Axis Dimension 1

Dimension Type: Time
Size: 1
Description:

Gridded data for annual periods.

Access Information

Security Class: Unclassified
Data Access Policy:

The data are accessible via Mendeley Data at the following URL:

https://dx.doi.org/10.17632/4tgwv45bz8.1

Data Access Procedure:

Downloadable data in the Mendeley Data repository.

Data Access Constraints:

No constraints for access to data that are published in the Mendeley Data repository.

Data Use Constraints:

If these data are used, please make reference to the following citations:

Moore, T.J., Redfern, J.V., Carver, M., Hastings, S., Adams, J.D., Silber, G.K., 2018. Exploring ship traffic variability off California. Ocean & Coastal Management 163, 515-527. DOI: 10.1016/j.ocecoaman.2018.03.010

Moore, T.J., 2018. Vessel density and vessel speed data off California: 2008-2015, Mendeley Data, v1. DOI: 10.17632/4tgwv45bz8.1

Distribution Information

Distribution 1

CC ID: 784598
Start Date: 2018-03-26
End Date: Present
Download URL: https://dx.doi.org/10.17632/4tgwv45bz8.1
Distributor: Southwest Fisheries Science Center (SWFSC) (2019-05-06 - Present)
File Name: moore_etal_2018_OCMA_gdb .zip
Description:

Raster data within a file geodatabase. Downloadable file is compressed file (zip).

File Date/Time: 2018-03-26 00:00:00
File Type: ESRI File geodatabase
File Size: 112 MB
Application Version: 10.4.1
Compression: Zip
Review Status: Chked Viruses Inapp Content

URLs

URL 1

CC ID: 784525
URL: https://doi.org/10.1016/j.ocecoaman.2018.03.010
Name: Journal Article
URL Type:
Online Resource
Description:

Moore, T.J., Redfern, J.V., Carver, M., Hastings, S., Adams, J.D., Silber, G.K., 2018. Exploring ship traffic variability off California. Ocean & Coastal Management 163, 515-527. DOI: 10.1016/j.ocecoaman.2018.03.010

URL 2

CC ID: 784526
URL: https://dx.doi.org/10.17632/4tgwv45bz8.1
Name: Mendeley Data
URL Type:
Online Resource
Description:

Moore, T.J., 2018. Vessel density and vessel speed data off California: 2008-2015, Mendeley Data, v1. DOI: 10.17632/4tgwv45bz8.1

Technical Environment

Description:

The data were processed and analyzed with ArcGIS Desktop version 10.4.1 software and the Spatial Analyst extension in a Windows 7 environment. The data are stored as raster data sets in a file geodatabase. The overall size of the file geodatabase is about 112 MB.

Data Quality

Completeness Report:

Some days of data were missing in a few years, and especially in the first year (2008) of data collection/archiving by the USCG.

Quality Control Procedures Employed:

The data processing methods and quality control procedures are discussed in the following journal article and supplemental online information published with the article:

Moore, T.J., Redfern, J.V., Carver, M., Hastings, S., Adams, J.D., Silber, G.K., 2018. Exploring ship traffic variability off California. Ocean & Coastal Management 163, 515-527. DOI: 10.1016/j.ocecoaman.2018.03.010

Data Management

Have Resources for Management of these Data Been Identified?: No
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?: No
Approximate Delay Between Data Collection and Dissemination: 365
If Delay is Longer than Latency of Automated Processing, Indicate Under What Authority Data Access is Delayed:

The source (raw) data from the USCG were collected from 2012 to 2016 and are not available for dissemination. The processing of the data occurred during the period of 2016-2017. The derived data were made available approximately one year after processing was completed.

Actual or Planned Long-Term Data Archive Location: To Be Determined
If To Be Determined, Unable to Archive, or No Archiving Intended, Explain:

Derived data reside in the Mendeley Data repository but a copy can be archived at another resource as deemed suitable. Through Mendeley Data, however, the data are archived on the Data Archiving and Network Services (DANS; https://dans.knaw.nl/en) to preserve the data over the long term.

Approximate Delay Between Data Collection and Archiving: 365
How Will the Data Be Protected from Accidental or Malicious Modification or Deletion Prior to Receipt by the Archive?:

The derived data were disseminated and archived within approximately one year after the data processing was completed. Mendeley Data is the data repository and has received industry standard certification for this role. The data are stored on Amazon S3 servers to ensure the integrity and security of these data. The source data are secured and protected through encryption with multiple backup copies. Source data are backed up locally and offsite with data protections in place.

Lineage

Lineage Statement:

Source data should be obtained from the data provider (USCG).

Sources

USCG Authoritative Vessel Identification Service (AVIS), 2016

CC ID: 784710
Contact Name: USCG Navigation Center (NAVCEN)
Extent Type: Range
Extent Start Date/Time: 2006-10-11
Extent End Date/Time: 2016-01-29

USCG Nationwide AIS (NAIS) Data, 2008-2015

CC ID: 784601
Contact Name: USCG Navigation Center (NAVCEN)
Extent Type: Continuing
Extent Start Date/Time: 2008-06
Citation URL: https://www.navcen.uscg.gov/?pageName=NAISdisclaimer
Citation URL Description:

USCG NAVCEN Nationwide AIS Data Requests

Process Steps

Process Step 1

CC ID: 784711
Description:

The data processing methods and quality control procedures are discussed in the following journal article and supplemental online information published with the article:

Moore, T.J., Redfern, J.V., Carver, M., Hastings, S., Adams, J.D., Silber, G.K., 2018. Exploring ship traffic variability off California. Ocean & Coastal Management 163, 515-527. DOI: 10.1016/j.ocecoaman.2018.03.010

Acquisition Information

Instruments

Instrument Unavailable Reason: Not Applicable

Platforms

Platform Unavailable Reason: Not Applicable

Catalog Details

Catalog Item ID: 54048
Metadata Record Created By: Thomas J Moore
Metadata Record Created: 2018-10-03 21:08+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2019-06-26 11:51+0000
Metadata Record Published: 2018-10-10
Owner Org: SWFSC
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Next Review Date: 2019-10-11