The Autonomous Behaving Lagrangian Explorer (ABLE), designed by Tom Wolcott, is a biomimetic robotic drifter that senses in situ environmental stimuli (e.g., variations in PAR, pressure, salinity, or temperature) and can be programmed to respond to these cues with vertical migration behavior like that of the planktonic organism of interest.
Dataset Name | Brief Description |
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ABLE | Autonomous Behaving Lagrangian Explorer (ABLE) output for 5 taxonomic groups |
ABLE Subsurface 2016-18 | Subsurface data from ABLE deployments in the upwelling region of the west coast of northern California from 2016-2018 |
ABLE Surface 2016-18 | Surface data from ABLE deployments in the upwelling region of the west coast of northern California from 2016-2018 |