Cruise Segment Data from the NASA DASHlink Dataset Extracted and Processed by the Initial Release of SCOOP (v1.0.0)

This dataset provides extracted cruise-segment data from an operational fleet of 35 regional jets. The data are suitable for aircraft performance monitoring and potentially other applications. In commercial operations, most fuel is consumed during cruise, when aerodynamic and propulsive forces are approximately in equilibrium, and deviations from expected fuel use are more readily detected. This dataset was created using the SCOOP computational framework for extracting and analyzing flight segments in steady-state cruise. An open-access operational dataset from the NASA DASHlink provided raw input data in the form of parameters from time histories of whole flights over three years of operation of 35 regional jets. A sliding window approach identifies intervals meeting defined cruise criteria, followed by analysis of aerodynamic and propulsive characteristics, and computation of statistically meaningful fuel performance metrics. This work addresses a key research gap: the lack of large volumes of high-quality, analysis-ready data to support advanced techniques for applications such as aircraft performance monitoring. Raw data: B. Matthews, Nov. 29, 2012. “Sample Flight Data,” distributed by NASA DASHlink, https://c3.ndc.nasa.gov/dashlink/projects/85/ The cruise segments were extracted and derived parameters added according to: L. V. Bays and M. W. Grenn, "A Framework for Extracting Stable Cruise from Operational Observed Performance (SCOOP)", unpublished, June, 2025.本数据集提取自35架区域喷气式飞机运营机队的巡航分段数据，可用于飞机性能监测及其他潜在应用场景。 在商业航空运营中，飞机的绝大部分燃油消耗发生于巡航阶段——此时气动与推进力大致处于平衡状态，与预期燃油消耗量的偏差也更易被识别。本数据集依托SCOOP计算框架（SCOOP computational framework）构建，用于提取并分析稳态巡航飞行段。 本次研究的原始输入数据源自NASA DASHlink的公开运营数据集，包含35架区域喷气式飞机三年运营期间完整飞行的时间历程参数。 研究采用滑动窗口方法识别符合预设巡航标准的时段，随后开展气动与推进特性分析，并计算具有统计学显著性的燃油性能指标。 本研究填补了一项关键研究空白：当前缺乏可支撑飞机性能监测等先进应用技术的大规模高质量、可直接用于分析的数据集。 原始数据来源：B. Matthews，2012年11月29日，《样本飞行数据》，由NASA DASHlink发布，https://c3.ndc.nasa.gov/dashlink/projects/85/ 巡航分段提取及衍生参数构建方法参考：L. V. Bays与M. W. Grenn，《基于运营观测性能的稳定巡航提取框架（SCOOP）》，未发表，2025年6月。