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        <identifier>oai:figshare.com:article/32101159</identifier>
        <datestamp>2026-09-13T04:33:46Z</datestamp>
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          <dc:title>A multiscale geospatial dataset of nighttime activity and heat exposure for Chinese listed firms</dc:title>
          <dc:creator>Changgao Cheng (23753745)</dc:creator>
          <dc:subject>Human impacts of climate change and human adaptation</dc:subject>
          <dc:subject>Labour economics</dc:subject>
          <dc:subject>Nighttime Lights Satellite Imagery</dc:subject>
          <dc:subject>heat exposure time</dc:subject>
          <dc:subject>Firm-level activity</dc:subject>
          <dc:subject>overtime working hours</dc:subject>
          <dc:subject>Geospatial datasets</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;We describe a multiscale geospatial dataset linking firm-level nighttime activity, daytime heat exposure and warm-season nighttime microclimate for Chinese listed firms from 2012 to 2019. Annual firm locations are used as spatial anchors to align daily VIIRS Black Marble nighttime-light observations, hourly ERA5-Land meteorological fields, a 1 km daily land-surface-temperature product, and official workday and holiday calendars. The core firm-day panel provides overtime-related nighttime activity indicators, daytime heat metrics, next-night minimum temperature, hot-night indicators, diurnal temperature range and quality-control flags. The daily records are further aggregated into firm-month and firm-year panels and released as three complementary annual point-layer products: anchor coverage and quality control, annual nighttime activity intensity, and warm-season mechanism variables. The dataset supports reuse in climate economics, labour geography, urban microclimate research and spatial validation of remote-sensing indicators of human activity.&lt;/p&gt;</dc:description>
          <dc:date>2026-04-26T08:55:28Z</dc:date>
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          <dc:identifier>10.6084/m9.figshare.32101159.v3</dc:identifier>
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