Antarctic Krill 3D Trajectories from Camera Array Observations

January to March 2021 data contains 3D coordinates of individual Antarctic krill collected during the RV Investigator voyage IN2021_V01. The dataset includes head and tail coordinates for 305 krill and coordinate tracks from video frames. It was gathered by the Australian Ocean Data Network as part of the TEMPO survey to support krill biomass estimates.

Use Cases

• Model krill swarm density and structure using the 3D coordinates from the TEMPO_Tracks data.
• Analyze individual krill orientation and movement patterns from the head and tail coordinates in the TEMPO_Orientation data.
• Calibrate biomass estimation algorithms by linking the 3D positioning data to abundance survey methods.
• Study fine-scale behavioral responses in natural conditions using the frame-by-frame coordinate data.

Strengths

• Data from a dedicated 55-day research voyage (29 Jan - 24 Mar 2021) using standardized TEMPO survey methods.
• Includes individual-level tracking data for 305 krill, enabling fine-scale behavioral analysis.
• Collected using an array of 10 synchronized GoPro Hero-8 cameras to capture 3D positioning.

Limitations

• Sample size is limited to 305 individually tracked krill, which may not represent all swarm behaviors.
• Geographic scope is restricted to the survey area off the Australian Antarctic Territory (Division 58.4.2-East).
• Primary data formats (PNG, HTML) suggest raw video and documentation, requiring processing to extract quantitative coordinates.

Provenance

Source

Australian Ocean Data Network, collected during the Marine National Facility RV Investigator voyage IN2021_V01.

Collection Method

Data obtained using an array of 10 GoPro Hero-8 cameras deployed into krill swarms, with methods replicating Burns et al. (2023).

Time Range

29 January 2021 to 24 March 2021 (AEST).

Freshness

Data was last updated on the platform in April 2026, but the underlying observations are from 2021.

Geography

Survey area off the Australian Antarctic Territory, within CCAMLR's Division 58.4.2-East.