<p dir="ltr">Swimming microorganisms play fundamental roles in ecosystems, influencing nutrient cycling and energy transfer. To thrive in dynamic environments, these microswimmers have evolved a variety of locomotion and adaptive behaviors. They respond to diverse environmental cues by modulating their motility and navigation strategies across different spatial and temporal scales. Among these stimuli, light serves as a versatile signal, eliciting phototactic responses critical for survival and ecological interactions. Understanding how microorganisms respond to light is fundamental for uncovering their ecological roles and advancing light-responsive artificial microrobots. However, the mechanisms by which microswimmers coordinate individual and colony behaviors and adapt their navigation strategies to light remain poorly understood. This thesis investigates adaptive phototactic behaviors and navigation strategies in swimming microorganisms, focusing on their responses to changing light environments across multiple temporal scales.</p><p dir="ltr">This dataset consists of two main folders containing the core data and simulation materials referenced in the associated thesis. The first folder, "<i>Experimental data</i>", includes critical experimental measurements such as the phase angle of <i>Chlamydomonas</i> cells during swimming, detailed flagella beat waveforms, and the proportion of cells exhibiting various swimming states under different light intensities. The second folder, "<i>Simulation</i>", provides the complete set of codes used for hydrodynamic modeling described in the thesis. These simulation files successfully reproduce key behaviors observed in <i>Chlamydomonas</i>, including helical swimming and phototactic responses. Together, the dataset offers both the essential raw and processed data as well as the computational tools necessary to analyze and replicate the major findings of the research.</p>