Ji Anli, Georgoulis Manolis K, Aydin Berkay
Georgia State University, 25 Park Place NE, Atlanta, GA 30303, United States.
Johns Hopkins Applied Physics Lab, 11100 Johns Hopkins Rd, Laurel, MD 20723, United States.
Data Brief. 2025 Apr 9;60:111539. doi: 10.1016/j.dib.2025.111539. eCollection 2025 Jun.
Solar flares and coronal mass ejections are solar transient events that can impact our technological infrastructure in near-Earth and Earth environments. While related, not all flares generate CMEs and there are a limited number of resources that connect CMEs to flares and eventually to their source active regions. We present an integrated solar-flare-to-CME association dataset, along with a multi-step, data-driven spatiotemporal integration methodology for matching solar flares with coronal mass ejections. We perform a confidence-based scoring process that involves spatial and temporal data integration for integrating LASCO CME data to their solar sources. Such process is based on identifying the likely CME candidates with corresponding start and peak times of flares and the first detection time of CMEs. In addition, we check for the locations of flares (within 70 degrees) and CME principal angles as well as the width of each CME to generate spatial connections between instances. Furthermore, we use external association sources to implement a custom verification schema that provides further fidelity to our associations. We also provide an exploratory analysis demonstrating the number of associations generated after the integration. With this data resource, we connect the coronal mass ejections to their source active regions and generate a high-utility solar eruption labeling schema.
太阳耀斑和日冕物质抛射是太阳瞬变事件，会对近地和地球环境中的技术基础设施产生影响。虽然二者相关，但并非所有耀斑都会引发日冕物质抛射，而且将日冕物质抛射与耀斑以及最终与它们的源活动区联系起来的资源有限。我们展示了一个综合的太阳耀斑与日冕物质抛射关联数据集，以及一种用于将太阳耀斑与日冕物质抛射进行匹配的多步骤、数据驱动的时空整合方法。我们执行一个基于置信度的评分过程，该过程涉及将大角度分光日冕仪（LASCO）日冕物质抛射数据与其太阳源进行整合的空间和时间数据整合。此过程基于识别具有相应耀斑起始和峰值时间以及日冕物质抛射首次探测时间的可能日冕物质抛射候选体。此外，我们检查耀斑的位置（在70度范围内）、日冕物质抛射的主角度以及每个日冕物质抛射的宽度，以生成实例之间的空间联系。此外，我们使用外部关联源来实施一个定制验证模式，该模式为我们的关联提供更高的保真度。我们还提供了一项探索性分析，展示整合后生成的关联数量。借助这个数据资源，我们将日冕物质抛射与其源活动区联系起来，并生成一个高实用性的太阳爆发标记模式。
