Encounter Unassigned

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:

Matched by: Unknown

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: 069

Add to existing individual ID


Alternate ID:

 Occurrence ID: 863d632f-fac8-4677-b49c-cb168ffcb63c

Contact Information

Submitting Users

Photographing Users

Other Photographers


Metadata

Number: 259bd871-1c0a-487c-8db8-6e646243f470

Date created:2020-08-20 02:30:27
Date last edited:  2020-10-22

Workflow state: approved

Set Workflow State

Managing researcher: 

Kyla Pierce

Affiliation: Undergraduate volunteer, Love Lab, UCSB

Imported via fdfb220c

Measurements

Type Size Units

Set Physical Measurements

()
()

Tracking

Metal Tags
Left:
Right:

Manage Physical Tag Data

Left
Right

Date

Unknown
Verbatim Event Date: None

Reset Encounter Date

Leave blank if unknown.


Set Verbatim Event Date

Leave blank if unknown.

Gallery




Attributes

Taxonomy Stereolepis gigas 

Reset genus and species

Status:

Reset Status

Sex: 

Reset Sex

Noticeable scarring:  None

Edit scarring description

Behavior:  None

Edit Behavior

Leave blank if unknown.

Group Role:  None

Edit Group Role

Leave blank if unknown.

Patterning code:  None

Edit Patterning Code

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

29 left-side spots added. 30 right-side spots added.

Pattern Matching Results

Choose criteria to match against

The machine learning queue is empty and ready for work.

Location ID:  
Owner of data
Choose algorithm