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        <identifier>oai:figshare.com:article/33986383</identifier>
        <datestamp>2026-09-24T15:28:01Z</datestamp>
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          <dc:title>Temporal and Cross-variable Attention Autoencoder for Imputing Atmospheric Chemical Composition Data</dc:title>
          <dc:creator>Baihua Chen (23638807)</dc:creator>
          <dc:creator>Yating Zu (25104554)</dc:creator>
          <dc:creator>Wei Xu (23729342)</dc:creator>
          <dc:creator>Liyuan Zhou (5712599)</dc:creator>
          <dc:creator>Dan Dan Huang (1636297)</dc:creator>
          <dc:creator>Ru-Jin Huang (1839532)</dc:creator>
          <dc:subject>Air pollution processes and air quality measurement</dc:subject>
          <dc:subject>atmospheric aerosol measurements</dc:subject>
          <dc:subject>data imputation problem</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;This dataset presents the results of TCAA applied to impute more than four years of hourly observations from 11 atmospheric measurement instruments at an urban supersite in Shanghai, China (31.17°N, 121.43°E). It includes method comparison results, feature importance analysis data, data sensitivity analysis data, and uncertainty analysis data.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-24T15:28:01Z</dc:date>
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