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SEFSC Metadata Library > Marine Mammal and Turtle Division > Gulf of Mexico Marine Assessment Program for Pr... > Density of Cetaceans and Turtles in the Gulf of... > Density of Cetaceans and Turtles in the Gulf of... >

Loggerhead turtle (Caretta caretta)

Entity (ENT)  |  Southeast Fisheries Science Center (SEFSC)
GUID: gov.noaa.nmfs.inport:70331  |  Updated: August 15, 2023  |  Published / External 
Summary
Item Identification
Entity Info
Data Attributes
Support Roles
Distribution Info
Catalog Details

Summary

Abstract

Contents of this zip file:

Consists of a readme file and two directories/folders populated with files. These two diretories/folders are Rasters and ArcGIS_Symbology

Rasters (Directory)

*_MMM_density_v2.img - Rasters giving the estimated mean density for month

(represented in file name by abbreviated month name (MMM)), expressed as

the number of individual animals per 100 square km.To convert from individuals

per 100 square km to the more traditional unit of density, individuals per 1

square km, divide the cell values by 100. Note that several taxa were modeled

with only static covariates and therefore will have the same predictions for

each month.

*_MMM_cv_mask_v2.img - Rasters giving the estimated coefficient of variation of

the density estimates for month (represented in file name by abbreviated

month name (MMM)). These values are unitless and were

computed as standard error divided by density.

ArcGIS_Symbology (Directory)

*_density_v2_nper100km2.lyr - ArcGIS "layer" files for symbolizing the

density rasters using a Classified symbology that has logarithmic

breaks suitable for showing variability in both high and low density

areas. To use these, load the raster into ArcGIS and import the

symbology from the file.

*_cv.lyr - ArcGIS "layer" file for symbolizing CV using a classified

symbology that ranges from 0 to >=1.

Description

Consists of a readme file and two directories populated with files that contain the files of the model

Entity Information

Entity Type
Other

Data Attribute / Type Description
readme
Text 		Describes the contents of the zip file
Rasters
directory 		Contains img files _MMM_density_v2.img - Rasters giving the estimated mean density for month (represented in file name by abbreviated month name (MMM)), expressed as the number of individual animals per 100 square km.To convert from individuals per 100 square km to the more traditional unit of density, individuals per 1 square km, divide the cell values by 100. Note that several taxa were modeled with only static covariates and therefore will have the same predictions for each month. *_MMM_cv_mask_v2.img - Rasters giving the estimated coefficient of variation of the density estimates for month (represented in file name by abbreviated month name (MMM)). These values are unitless and were computed as standard error divided by density
ArcGIS_Symbology
directory 		contains .lyr - ArcGIS "layer" files for symbolizing the density rasters using a Classified symbology that has logarithmic breaks suitable for showing variability in both high and low density areas. To use these, load the raster into ArcGIS and import the symbology from the file.

Distribution Information

Child Items

No Child Items for this record.

Contact Information

Metadata Contact
Laura A Dias
laura.dias@noaa.gov
(305) 361-4269
ORCID Page Laura Dias

Item Identification

Title: Loggerhead turtle (Caretta caretta)
Status: Completed
Creation Date: 2022
Publication Date: 2023
Abstract:

Contents of this zip file:

Consists of a readme file and two directories/folders populated with files. These two diretories/folders are Rasters and ArcGIS_Symbology

Rasters (Directory)

*_MMM_density_v2.img - Rasters giving the estimated mean density for month

(represented in file name by abbreviated month name (MMM)), expressed as

the number of individual animals per 100 square km.To convert from individuals

per 100 square km to the more traditional unit of density, individuals per 1

square km, divide the cell values by 100. Note that several taxa were modeled

with only static covariates and therefore will have the same predictions for

each month.

*_MMM_cv_mask_v2.img - Rasters giving the estimated coefficient of variation of

the density estimates for month (represented in file name by abbreviated

month name (MMM)). These values are unitless and were

computed as standard error divided by density.

ArcGIS_Symbology (Directory)

*_density_v2_nper100km2.lyr - ArcGIS "layer" files for symbolizing the

density rasters using a Classified symbology that has logarithmic

breaks suitable for showing variability in both high and low density

areas. To use these, load the raster into ArcGIS and import the

symbology from the file.

*_cv.lyr - ArcGIS "layer" file for symbolizing CV using a classified

symbology that ranges from 0 to >=1.
Purpose:

To provide a Gulf-wide cetacean and sea turtle spatial density models (SDMs) based on line-transect surveys conducted in the U.S. waters of the Gulf of Mexico for Loggerhead turtle (Caretta caretta)
Supplemental Information:

Reports: Not Yet Provided

Entity Information

Entity Type: Other
Active Version?: Yes
Description:

Consists of a readme file and two directories populated with files that contain the files of the model

Data Attributes

Note: Metadata requirements do not apply to attributes for non-tabular entities.

Attribute Summary

Rubric Score Primary Key? Name Type Description
N/A
 readme Text Describes the contents of the zip file
N/A
 Rasters directory Contains img files _MMM_density_v2.img - Rasters giving the estimated mean density for month (represented in file name by abbreviated month name (MMM)), expressed as the number of individual animals per 100 square km.To convert from individuals per 100 square km to the more traditional unit of density, individuals per 1 square km, divide the cell values by 100. Note that several taxa were modeled with only static covariates and therefore will have the same predictions for each month. *_MMM_cv_mask_v2.img - Rasters giving the estimated coefficient of variation of the density estimates for month (represented in file name by abbreviated month name (MMM)). These values are unitless and were computed as standard error divided by density
N/A
 ArcGIS_Symbology directory contains .lyr - ArcGIS "layer" files for symbolizing the density rasters using a Classified symbology that has logarithmic breaks suitable for showing variability in both high and low density areas. To use these, load the raster into ArcGIS and import the symbology from the file.

Attribute Details

readme

CC ID: 1262386
Seq. Order: 10
Data Storage Type: Text
Required: No
Primary Key: No
Status: Active
Description:

Describes the contents of the zip file

Rasters

CC ID: 1262385
Seq. Order: 20
Data Storage Type: directory
Required: No
Primary Key: No
Status: Active
Description:

Contains img files

_MMM_density_v2.img - Rasters giving the estimated mean density for month

(represented in file name by abbreviated month name (MMM)), expressed as

the number of individual animals per 100 square km.To convert from individuals

per 100 square km to the more traditional unit of density, individuals per 1

square km, divide the cell values by 100. Note that several taxa were modeled

with only static covariates and therefore will have the same predictions for

each month.

*_MMM_cv_mask_v2.img - Rasters giving the estimated coefficient of variation of

the density estimates for month (represented in file name by abbreviated

month name (MMM)). These values are unitless and were

computed as standard error divided by density

ArcGIS_Symbology

CC ID: 1262384
Seq. Order: 30
Data Storage Type: directory
Required: No
Primary Key: No
Status: Active
Description:

contains .lyr - ArcGIS "layer" files for symbolizing the

density rasters using a Classified symbology that has logarithmic

breaks suitable for showing variability in both high and low density

areas. To use these, load the raster into ArcGIS and import the

symbology from the file.

Support Roles

Author

CC ID: 1262387
Date Effective From: 2022
Date Effective To:
Contact (Person): Litz, Jenny
Address: 75 Virginia Beach Drive
Miami, FL 33139
Email Address: Jenny.Litz@noaa.gov
Phone: 305-361-4224
Fax: 305-365-4102

Author

CC ID: 1262388
Date Effective From: 2022
Date Effective To:
Contact (Person): Rappucci, Gina
Address: 75 Virginia Beach Drive
Miami, FL 33149
Email Address: gina.rappucci@noaa.gov
Phone: (305) 361-4283

Author

CC ID: 1262389
Date Effective From: 2022
Date Effective To:
Contact (Person): Dias, Laura A
Address: 75 Virginia Beach Drive
Miami, FL 33149
Email Address: laura.dias@noaa.gov
Phone: (305) 361-4269
URL: ORCID Page Laura Dias

Author

CC ID: 1262390
Date Effective From: 2022
Date Effective To:
Contact (Person): Martinez, Anthony
Address: 75 Virginia Beach Drive
Miami, FL 33149
USA
Email Address: anthony.martinez@noaa.gov
Phone: 305-361-4486
Fax: 305-361-4478

Author

CC ID: 1262391
Date Effective From: 2022
Date Effective To:
Contact (Person): Soldevilla, Melissa
Address: 75 Virginia Beach Drive
Miami, FL 33149
USA
Email Address: melissa.soldevilla@noaa.gov
Phone: 305-361-4238

Author

CC ID: 1262393
Date Effective From: 2022
Date Effective To:
Contact (Person): Mullin, Keith D
Address: 3209 Frederic St.
Pascagoula, MS 39568
Email Address: keith.d.mullin@noaa.gov
Phone: 228-549-1632
Fax: 228-769-9200

Data Steward

CC ID: 1262394
Date Effective From: 2022
Date Effective To:
Contact (Person): Garrison, Lance
Address: 75 Virginia Beach Dr
Miami, FL 33149
Email Address: Lance.Garrison@noaa.gov
Phone: 305-361-4488
Fax: 305-361-4478
Business Hours: 8:00 AM - 4:30 PM EST/EDT

Data Steward

CC ID: 1262395
Date Effective From: 2022
Date Effective To:
Contact (Person): Litz, Jenny
Address: 75 Virginia Beach Drive
Miami, FL 33139
Email Address: Jenny.Litz@noaa.gov
Phone: 305-361-4224
Fax: 305-365-4102

Distributor

CC ID: 1262396
Date Effective From: 2022
Date Effective To:
Contact (Organization): OBIS-SEAMAP (OBIS-SEAMAP)
Address: Marine Geospatial Ecology Lab A328 Levine Science Rsch Ctr at Duke
Durham, NC 27708
Email Address: seamap-contact@duke.edu
Phone: 919-613-8021
URL: OBIS-SEAMAP Home Page

Metadata Contact

CC ID: 1262397
Date Effective From: 2022
Date Effective To:
Contact (Person): Dias, Laura A
Address: 75 Virginia Beach Drive
Miami, FL 33149
Email Address: laura.dias@noaa.gov
Phone: (305) 361-4269
URL: ORCID Page Laura Dias

Originator

CC ID: 1262398
Date Effective From: 2022
Date Effective To:
Contact (Organization): Southeast Fisheries Science Center (SEFSC)
Address: 75 Virginia Beach Drive
Miami, FL 33149
USA
Phone: (305)361-5761
URL: https://www.fisheries.noaa.gov/about/southeast-fisheries-science-center
Business Hours: 8:00 a.m. - 4:30 p.m. EST
View Historical Support Roles

Distribution Information

Distribution 1

CC ID: 1262399
Start Date: 2022
End Date: Present
Download URL: https://seamap.env.duke.edu/seamap-models-files/SEFSC/GOM/Loggerhead_turtle/v2.2/Loggerhead_turtle_v2.2.zip
Distributor: OBIS-SEAMAP (OBIS-SEAMAP) (2022 - Present)
File Name: Loggerhead_turtle_v2.2.zip
File Type (Deprecated): Zip
File Size: 2.129 MB
Compression: Zip
Review Status: Chked Viruses Inapp Content

Catalog Details

Catalog Item ID: 70331
GUID: gov.noaa.nmfs.inport:70331
Metadata Record Created By: Lee M Weinberger
Metadata Record Created: 2023-07-24 20:18+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2023-08-15 17:09+0000
Metadata Record Published: 2023-07-25
Owner Org: SEFSC
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Review Frequency: 1 Year