Search Help Show/Hide Menu
Summary
Item Identification
Entity Info
Data Attributes
Catalog Details

Summary

Abstract

The INVERTL table contains the link (RARNUM) to the attribute information for the vector polylines in this data set representing Invert species distribution. Note that all attribute information is stored in the data tables, described below. See the Entity_and_Attribute_Overview for a detailed description of how the primary attribute tables relate to the geographic data layers. Also see the Browse_Graphic section for a link to the entity-relationship diagram, which describes the relationships between attribute tables in the ESI data structure. | Description Source: NOAA ESI Guidelines

Description

Feature classes, which correspond to map layers, represent a single element and geometry type. | Description Source: NOAA ESI Guidelines

Entity Information

Entity Type
GIS File

Data Attribute / Type Description
RARNUM
NUMBER
An identifier linking the record to the BIOFILE table. RARNUM is a 9-digit integer representing a unique combination of species, seasonality, concentration, mapping qualifier, and geographic and seasonality sources. This region unique number is added to the atlas number *100,000 to generate a number that is unique across atlases| Description Source: NOAA ESI Guidelines

Child Items

No Child Items for this record.

Contact Information

No contact information is available for this record.

Please contact the owner organization (ORR) for inquiries on this record.

Item Identification

Title: INVERTL
Status: Completed
Publication Date: 2019-09
Abstract:

The INVERTL table contains the link (RARNUM) to the attribute information for the vector polylines in this data set representing Invert species distribution. Note that all attribute information is stored in the data tables, described below. See the Entity_and_Attribute_Overview for a detailed description of how the primary attribute tables relate to the geographic data layers. Also see the Browse_Graphic section for a link to the entity-relationship diagram, which describes the relationships between attribute tables in the ESI data structure. | Description Source: NOAA ESI Guidelines

Notes:

Converted from FGDC using 'fgdc_to_inport_xml_entity.pl' script.

Entity Information

Entity Type: GIS File
Description:

Feature classes, which correspond to map layers, represent a single element and geometry type. | Description Source: NOAA ESI Guidelines

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
Primary Key RARNUM NUMBER An identifier linking the record to the BIOFILE table. RARNUM is a 9-digit integer representing a unique combination of species, seasonality, concentration, mapping qualifier, and geographic and seasonality sources. This region unique number is added to the atlas number *100,000 to generate a number that is unique across atlases| Description Source: NOAA ESI Guidelines

Attribute Details

RARNUM

CC ID: 893389
Seq. Order: 1
Data Storage Type: NUMBER
Max Length: 9
Min Length: 9
Required: Yes
Primary Key: Yes
Status: Active
Description:

An identifier linking the record to the BIOFILE table. RARNUM is a 9-digit integer representing a unique combination of species, seasonality, concentration, mapping qualifier, and geographic and seasonality sources. This region unique number is added to the atlas number *100,000 to generate a number that is unique across atlases| Description Source: NOAA ESI Guidelines

Allowed Values: 202000002 - 202000679

Catalog Details

Catalog Item ID: 58531
GUID: gov.noaa.nmfs.inport:58531
Metadata Record Created By: David Moe Nelson
Metadata Record Created: 2020-01-10 13:49+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2022-08-09 17:11+0000
Metadata Record Published: 2020-02-14
Owner Org: ORR
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2020-02-14
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2021-02-14