Data for: Bi-modal response strategy in Daphnia to ambush predation risk

Predation, a well-established major selective force, can manifest through either consumptive or non-consumptive effects. The relative impact of such effects is predicted to vary depending on the predator hunting strategy. In aquatic systems, great attention has been paid to coursing predators, such as fish, and their effects on the behaviour of zooplankton. However, less information is available regarding more ambush-style predators. To remedy this paucity, we utilised a 3D-tracking platform to record groups of Daphnia magna under control or predation risk conditions from the ambush, invertebrate predator Erythromma najas. This design allowed us to test if there are anti-predator responses in multiple metrics of swimming behaviours. Furthermore, we recorded actual predation events allowing the distinction between predator exuded info-chemicals and those produced during the predation event. We demonstrate that predation risk was greatest for those that swam at 85% of the available depth ..., The information on collection of data is found in the associated manuscript and the only processing in is the concatenation of individual files into a single dataset, included here., The data file is .cs so may be opend and read by many different applications depending on the users preference., GENERAL INFORMATION

1. Title of Dataset:
Data supporting 'Bi-modal response strategy in *Daphnia* to ambush predation risk'
2. Author Information
A. Principal Investigator Contact Information
Name: Marcus Lee
Institution: Lund University
Address: Ekologihuset, Slvegatan 37, 223 62, Lund, Sweden
Email: [e-mail]

B. Associate or Co-investigator Contact Information
Name: Lars-Anders Hansson
Institution: Lund University
Address: Ekologihuset, Slvegatan 37, 223 62, Lund, Sweden
Email: [e-mail]
3. Date of data collection:

2023/03 - 2023/05
4. Geographic location of data collection:

Lund, Sweden
5. Information about funding sources that supported the collection of the data:

Swedish Research Council (VR), Award: 2016-03552

SHARING/ACCESS INFORMATION

1. Recommended citation for this dataset:

Lee, Marcus and Hansson, Lars-Anders (2023), Data supporting: Bi-modal response strategy in *D...