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.