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    <responseDate>2026-10-11T03:37:13Z</responseDate>
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    <identifier>10.57760/sciencedb.space.03631</identifier>
    <datestamp>2026-06-04T16:01:06Z</datestamp>
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  <dc:date>2026-06-04</dc:date>
  <dc:title>PASSIT-CME Dataset, Model Checkpoints, and Supplementary Results</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.space.03631</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This repository contains the dataset, example checkpoints, and additional results related to the paper &amp;ldquo;PASSIT-CME: A Pixel-Annotation-Free System for Automatic Segmentation, Inpainting, and Tracking of Coronal Mass Ejections&amp;rdquo;.The datasets for training the CME-ToCo (segements CME regions) are CME_ture and CME_false; Error-ToCo (segments error regions) are Error_true and Error_false; CME-MARFR (inpaints error regions) is CME_true_no_error. All the LASCO C2 running difference images are obtained from NASA CDAW SOHO/LASCO CME Catalog at CDAW Data Center.These materials include all sample CME events reported in Section 4, along with the model checkpoints.The original code repository can be accessed at Github: PASSIT-CME</dc:description>
  <dc:subject>CME;  Machine learning; dataset</dc:subject>
  <dc:creator>王治阳</dc:creator>
  <dc:creator>杨易</dc:creator>
  <dc:creator>沈芳</dc:creator>
  <dc:creator>林荣沛</dc:creator>
  <dc:creator>符慧山</dc:creator>
  <dc:creator>冯学尚</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.3847/1538-4357/ae6506</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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