Chemotaxis-driven Instabilities govern size, shape and migration efficiency of multicellular clusters

This dataset documents experimental and simulation-based measurements of
collective chemotactic migration and dynamical behavior of multicellular
cell clusters. It includes processed experimental data derived from
time-lapse microscopy of chronic lymphocytic leukemia (CLL) cell clusters
exposed to controlled gradients of the chemokine CCL19 (0–100 ng ml⁻¹
mm⁻¹). Image-based measurements were extracted using Fiji/ImageJ and
include cluster size, centroid trajectories, migration velocities, shape
descriptors, and orientation of the cluster’s major axis relative to the
chemical gradient, reported in pixel units. The dataset also contains
processed outputs from particle-based and agent-based simulations spanning
multiple cluster sizes and gradient strengths. Simulation variables
include forward migration index, mixing entropy, spatial and orientational
correlations, shape metrics, rotational dynamics, and cluster breaking
frequencies. Scripts used to compute quantitative metrics and reproduce
summary analyses are provided. Together, these data support quantitative
analyses of collective chemotactic responses, shape deformation, and
instability-driven dynamics in multicellular systems and provide reusable
benchmarks for studies of collective migration and active matter.