TY - JOUR
T1 - Three-dimensional time-resolved trajectories from laboratory insect swarms
AU - Sinhuber, Michael
AU - van der Vaart, Kasper
AU - Ni, Rui
AU - Puckett, James G.
AU - Kelley, Douglas H.
AU - Ouellette, Nicholas T.
N1 - Funding Information:
This project was sponsored by the Army Research Laboratory under grant no. W911NF-16-1-0185. K.v.d.V. was supported by an Early Postdoc.Mobility fellowship from the Swiss National Science Foundation, and M.S. received support from the Deutsche Forschungsgemeinschaft under grant no. 396632606.
Publisher Copyright:
© The Author(s) 2019.
PY - 2019
Y1 - 2019
N2 - Aggregations of animals display complex and dynamic behaviour, both at the individual level and on the level of the group as a whole. Often, this behaviour is collective, so that the group exhibits properties that are distinct from those of the individuals. In insect swarms, the motion of individuals is typically convoluted, and swarms display neither net polarization nor correlation. The swarms themselves, however, remain nearly stationary and maintain their cohesion even in noisy natural environments. This behaviour stands in contrast with other forms of collective animal behaviour, such as flocking, schooling, or herding, where the motion of individuals is more coordinated, and thus swarms provide a powerful way to study the underpinnings of collective behaviour as distinct from global order. Here, we provide a data set of three-dimensional, time-resolved trajectories, including positions, velocities, and accelerations, of individual insects in laboratory insect swarms. The data can be used to study the collective as a whole as well as the dynamics and behaviour of individuals within the swarm.
AB - Aggregations of animals display complex and dynamic behaviour, both at the individual level and on the level of the group as a whole. Often, this behaviour is collective, so that the group exhibits properties that are distinct from those of the individuals. In insect swarms, the motion of individuals is typically convoluted, and swarms display neither net polarization nor correlation. The swarms themselves, however, remain nearly stationary and maintain their cohesion even in noisy natural environments. This behaviour stands in contrast with other forms of collective animal behaviour, such as flocking, schooling, or herding, where the motion of individuals is more coordinated, and thus swarms provide a powerful way to study the underpinnings of collective behaviour as distinct from global order. Here, we provide a data set of three-dimensional, time-resolved trajectories, including positions, velocities, and accelerations, of individual insects in laboratory insect swarms. The data can be used to study the collective as a whole as well as the dynamics and behaviour of individuals within the swarm.
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U2 - 10.1038/sdata.2019.36
DO - 10.1038/sdata.2019.36
M3 - Article
AN - SCOPUS:85062698969
SN - 2052-4463
VL - 6
JO - Scientific Data
JF - Scientific Data
M1 - 190036
ER -