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          <given>Rana</given>
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    <title>Dataset for &quot;Indoor environment quality and work performance in ‘green’ office buildings in the Middle East&quot;</title>
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    <keywords>POE, thermal comfort, absenteeism, presenteeism, jordan</keywords>
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    <abstract>This data was collected from 13 office buildings in Amman Jordan. It covers five green &apos;LEED&apos; buildings and eight conventional buildings. The dataset includes the following:

1. Objective data of four thermal conditions indicators (air temperature, mean radiant temperature, relative humidity and air speed) and an indoor air quality indicator: carbon dioxide concentration level.
2. Subjective data include the post-occupancy evaluation (POE) and absenteeism and presenteeism data.
3. Thermal comfort indicators included thermal sensation votes, thermal preference vote, and predictive mean vote.</abstract>
    <date>2020-07-21</date>
    <publisher>University of Bath</publisher>
    <full_text_status>public</full_text_status>
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        <funder_id>https://doi.org/10.13039/501100016299</funder_id>
      </item>
      <item>
        <funder_name>Engineering and Physical Sciences Research Council</funder_name>
        <funder_id>https://doi.org/10.13039/501100000266</funder_id>
        <grant_id>EP/V012053/1</grant_id>
        <project_name>Active Building Centre Research Programme</project_name>
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    </funding>
    <research_centres>
      <item>cent_eden</item>
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    <collection_method>The objective data has two themes: continuous measurements and spot measurements. Continuous measurements were undertaken using Raspberry Pi-based sensors to investigate the actual performance of buildings over long time. Monitored buildings were provided with 83 Raspberry Pis to monitor air temperature and relative humidity, and 21 Raspberry Pis to monitor CO2.

The periodic spot measurements which complied with ISO 7730:2005 and ISO 7726:2001 were conducted to assist in evaluating the occupants’ thermal comfort and calculate the Predicted Mean Vote (PMV). Spot measures were done simultaneously to the time of the survey using the HD 32.3 instrument.</collection_method>
    <provenance>All monitored buildings were given a code as the organizations required their data to be anonymised.</provenance>
    <techinfo>Continuous measures: Raspberry Pi-based sensors

Spot measure: HD 32.3 kit from Delta OHM.</techinfo>
    <collection_date>
      <date_from>2017-07-15</date_from>
      <date_to>2019-02-14</date_to>
    </collection_date>
    <geographic_cover>Amman, Jordan</geographic_cover>
    <language>en</language>
    <version>1</version>
    <doi>10.15125/BATH-00863</doi>
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