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
No GPS data is available for mapping.
Identity
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.
Alternate ID:
Occurrence ID:
b7b7c763-e539-4bbb-8332-0f40c9b3bc48
Contact Information
Submitting Users
Photographing Users
Other Photographers
|
Metadata| Date created: | 2022-10-24T13:19:11.412 |
| Date last edited: | 2024-09-10 11:35:59 |
Workflow state: approved
Set Workflow State
 Managing researcher:
|
Sian Tian See Affiliation: Universiti Malaysia Sabah "Hello everyone. I'm See Sian Tian from Malaysia. A graduate with degree in Marine Science, Universiti Malaysia Sabah. Currently working as marine conservation practitioner at Mantanani Islands."Projects: Whale Shark in Malaysia : No ID Yet |
Measurements
| Type | Size | Units | |
|---|---|---|---|
| Length | 4.0 | Meters | personal guess |
| Water Temperature | Celsius |
Set Physical Measurements
|
Tracking| Left: | |
| Right: |
Manage Physical Tag Data
Acoustic Tag
| Serial number: | |
| ID: |
Set Acoustic Tag Metadata
Satellite Tag
| Name | |
| Serial number: | |
| Argos PTT: |
Set Satellite Tag Metadata
|
Date
Gallery
Attributes
Taxonomy Rhincodon typus
Reset genus and species
Status: alive
Reset Status
Sex: female
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:
Video by @shareenaanuar (Shareena Anuar), @asyraf_hussein, @kami_dubfire
Source:
https://www.instagram.com/p/CC0l8GyB5Ea/
https://www.instagram.com/p/CC0jprTJ0bS/
https://www.instagram.com/p/CDBz8glpRAi/
@afroscuba.tenggol
Edit Submitted Comments
Observations
None
Add Observation
Spot Matching Algorithms (Modified Groth and I3S)
Extracted Spots
|
16 left-side spots added. 13 right-side spots added. |
Pattern Matching Results
Groth: Left-side scan resultsGroth: 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
No configured algorithm for this annotation class.