Coronal Hole Detection Comparison Dataset

<b>Description:</b><br>Welcome to the "Coronal Hole Detection Comparison Dataset" hosted on Figshare. The dataset comprises 29 manually selected Solar Dynamics Observatory (SDO) images, and is accompanied by the coronal hole detection results from the most widely used automated detection schemes in the solar and heliospheric science community. This community dataset was created as part of the ISWAT Coronal Hole Boundary Working Team to support the comparison and evaluation of automated coronal hole detection schemes.<b>Dataset Details:</b><b>SDO Images:</b> The dataset consists of 29 SDO images (4k x 4k) observed between the years 2014 and 2019, spanning from maximum solar activity to the subsequent minimum. We provide all seven EUV wavebands ranging from 9.4 nm to 33.5 nm captured by the AIA instrument and the line-of-sight measurements of the photospheric magnetic field from the HMI instrument for each date. These images capture a wide range of appearances of coronal holes, presenting challenging scenarios.<b>Coronal Hole Labels:</b> Each image in the dataset is accompanied by manually assigned coronal hole labels, annotated according to the criteria outlined in Reiss et al. (2023). These labels serve as the ground truth for evaluating the accuracy of automated detection schemes in terms of event-based validation, as discussed in Section 4.4 of our publication.<b>Detection Results:</b> After performing basic preprocessing steps on level 1.0 data from the SDO data platform, we provided the complete dataset to 14 participating research teams and collected the resulting coronal hole detection results, which are included here.<b>Result Collage Images:</b> A comparison of the results from all 14 different automated detection schemes is provided as a PDF file for each of the dates.<b>Intended Usage:</b><br>Researchers and data scientists who are interested in advancing the field of automated coronal hole detection are encouraged to use this dataset for benchmarking and comparing their algorithms. The dataset is intended to serve as a common ground for evaluating algorithm performance and fostering collaboration within the community. <b>Citation:</b><br>If you use this dataset in your research, please cite the following reference: Reiss et al., "<i>A Community Dataset for Comparing Automated Coronal Hole Detection Scheme</i>," ApJS, 2023.<b>Contact Information:</b>Martin A. Reiss (Community Coordinated Modeling Center, NASA Goddard, USA): [e-mail] Muglach (NASA Goddard, USA): [e-mail]<b>Disclaimer:</b><br>While the dataset has been carefully curated and annotated, we do not guarantee the accuracy or completeness of the provided labels, and any findings or conclusions drawn from the dataset should be verified.<br><br>We hope that the "Automated Coronal Hole Detection Comparison Dataset" serves as a valuable resource for advancing automated coronal hole detection schemes.

<b>数据集描述：</b><br>欢迎使用托管于Figshare平台的"日冕洞（Coronal Hole）检测对比数据集"。本数据集包含29张人工甄选的太阳动力学天文台（Solar Dynamics Observatory, SDO）图像，并附带太阳与日球层物理领域内应用最广泛的自动化检测算法所生成的日冕洞检测结果。本社区数据集由ISWAT日冕洞边界工作组开发，旨在支撑自动化日冕洞检测算法的对比与评估工作。<b>数据集详情：</b><b>SDO图像：</b>数据集包含29张分辨率为4k×4k的SDO图像，观测时间覆盖2014至2019年，涵盖太阳活动极大年至后续的极小年阶段。我们为每个观测日期提供了由大气成像组件（Atmospheric Imaging Assembly, AIA）采集的9.4 nm至33.5 nm共7个极紫外（Extreme Ultraviolet, EUV）波段数据，以及日震与磁场成像仪（Helioseismic and Magnetic Imager, HMI）所获取的光球磁场视向测量结果。这些图像涵盖了多种形态的日冕洞，包含诸多具有挑战性的观测场景。<b>日冕洞标注：</b>数据集中的每张图像均附带依据Reiss等人（2023年）提出的标注标准生成的人工日冕洞标注。如本研究第4.4节所述，该标注可作为基于事件验证的自动化检测算法精度评估的真值基准。<b>检测结果：</b>我们对SDO数据平台的1.0级数据完成基础预处理后，将完整数据集分发给14个参与研究团队，并收集了其生成的日冕洞检测结果，本次发布即包含这些结果。<b>结果拼接图像：</b>针对每个观测日期，我们均提供了一份PDF文件，用于对比14种不同自动化检测算法的输出结果。<b>预期用途：</b><br>欢迎致力于推动自动化日冕洞检测领域发展的研究人员与数据科学家使用本数据集开展算法基准测试与对比工作。本数据集旨在为算法性能评估提供统一基准，并促进领域内的协作交流。 <b>引用规范：</b><br>若您在研究中使用本数据集，请引用如下文献：Reiss等人，《用于自动化日冕洞检测算法对比的社区数据集》（*A Community Dataset for Comparing Automated Coronal Hole Detection Scheme*），《天体物理学杂志增刊》（Astrophysical Journal Supplement Series, ApJS），2023年。<b>联系方式：</b>Martin A. Reiss（美国NASA戈达德太空飞行中心社区协调建模中心）：[e-mail]<br>Karin Muglach（美国NASA戈达德太空飞行中心）：[e-mail]<b>免责声明：</b><br>尽管本数据集经过精心甄选与标注，但我们不保证所提供标注的准确性与完整性，从本数据集推导得出的任何发现与结论均需另行验证。<br><br>我们期望本"自动化日冕洞检测对比数据集"能够为自动化日冕洞检测算法的发展提供有价值的支撑。