Encounter of AZ-004

An encounter is a sighting of a single animal at a specific location and time. Learn more.

Location


Location ID:

Water depth: Unknown

Set Location

Set reported country

Leave blank if unknown.

Set Location ID

Set Depth

meters

No GPS data is available for mapping.



Identity

Identified as: AZ-004

Matched by: Unmatched first encounter

✓ X

Manage Identity

In this dialog box, you can add an encounter to a new or existing marked individual or remove the encounter from a marked individual if already assigned.

Set new individual ID


Next suggested new ID: SHA-360

Add to existing individual ID


Alternate ID: AZNRTY001

 Occurrence ID: 420db263-bc13-4692-9d62-688a8222ac41

Contact Information

Submitters

Photographers


Metadata

Number: 67a4123c-cefb-4110-a9b5-99df4c61b6e1

Date created:2020-12-15T10:12:32.249
Date last edited:  2024-09-09 03:24:01

Workflow state: unapproved

Set Workflow State

Managing researcher: 

Atlantic Naturalist.org

Affiliation: Atlantic Naturalist.org

Research Project: Azores Whale Shark Catalogue

Projects:

Whale Shark - Azores : No ID Yet

Measurements

Type Size Units
Length Meters
Water Temperature Celsius

Set Physical Measurements

Length (Meters)
Water Temperature (Celsius)

Tracking

Metal Tags
Left:
Right:

Manage Physical Tag Data

Left
Right

Acoustic Tag
Serial number:
ID:

Set Acoustic Tag Metadata

Serial number:
ID:

Satellite Tag  
Name
Serial number:
Argos PTT:

Set Satellite Tag Metadata

Name
Serial number:
Argos PTT:

Date

Unknown
Verbatim Event Date: None

Reset Encounter Date

Leave blank if unknown.


Set Verbatim Event Date

Leave blank if unknown.

Gallery




Attributes

Taxonomy Rhincodon typus 

Reset genus and species

Status: alive

Reset Status

Sex: male

Reset Sex

Noticeable scarring: 

Edit scarring description

Behavior:  None

Edit Behavior

Leave blank if unknown.

Group Role:  None

Edit Group Role

Leave blank if unknown.

Life stage: 

Reset life stage

Additional comments:

Edit Submitted Comments


Observations

None

Add Observation

Spot Matching Algorithms (Modified Groth and I3S)

Extracted Spots

8 left-side spots added. 9 right-side spots added.

Pattern Matching Results

Groth: Left-side scan results
Groth: Right-side scan results
I3S: Left-side scan results
I3S: Right-side scan results

Choose criteria to match against

The machine learning queue is empty and ready for work.

Location ID:  
Owner of data
Choose algorithm