This record presents the first experimental extension of the Voigtian Field Theory, introducing empirical evidence that computational instability emerges through measurable temporal precursor dynamics before critical system saturation events. The dataset and accompanying scientific report document longitudinal runtime observations collected between March 3rd and March 14th, 2026, across heterogeneous computational environments. The recorded signals demonstrate a consistent temporal gap between anticipatory structural anomalies and subsequent CPU saturation peaks, suggesting that operational stability in computational systems may be governed by distributed temporal field dynamics rather than purely instantaneous resource metrics. The work proposes a phenomenological framework in which runtime behavior can be interpreted as an evolving operational field characterized by structural coherence gradients, temporal dilation patterns, and progressive accumulation of instability. These findings support the hypothesis that computational collapse is not an abrupt failure mode but the emergent outcome of multi-scale degradation processes observable prior to critical thresholds.