A machine learning approach for contrail detection and persistence prediction using airborne measurements from the ECLIF II/ND-MAX and ecoDemonstrator flight campaigns: Dataset and video

The dataset consist of atmospheric measurements and onboard camera footage of contrail formation from the ECLIF II/ND-MAX and ecoDemonstrator flight campaigns. The data were extracted from publically available NASA archives for use in the linked software. NASA Archives: https://asp-archive.arc.nasa.gov https://science-data.larc.nasa.gov/aero-fp/projects/本数据集涵盖ECLIF II/ND-MAX与ecoDemonstrator飞行任务中采集的大气测量数据，以及机载摄像头录制的凝结尾迹（contrail）形成过程影像。 本数据集的数据来源于公开可获取的美国国家航空航天局（NASA）档案库，供关联配套软件使用。 NASA档案库： https://asp-archive.arc.nasa.gov https://science-data.larc.nasa.gov/aero-fp/projects/