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    <datestamp>2026-05-22 07:43:30</datestamp>
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      <item>
        <name>
          <family>Hawkins</family>
          <given>Will</given>
        </name>
        <id>wh604@bath.ac.uk</id>
        <orcid>0000-0003-4918-7665</orcid>
        <affiliation>University of Bath</affiliation>
        <contact>TRUE</contact>
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        <name>
          <family>Hossell</family>
          <given>Shane</given>
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        <affiliation>University of Bath</affiliation>
        <contact>FALSE</contact>
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        <name>
          <family>Morris</family>
          <given>Grace</given>
        </name>
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        <orcid>0000-0001-5858-6508</orcid>
        <affiliation>University of Bath</affiliation>
        <contact>FALSE</contact>
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      <item>
        <name>
          <family>Kjeldsen</family>
          <given>Thomas Rodding</given>
        </name>
        <id>trk23@bath.ac.uk</id>
        <orcid>0000-0001-9423-5203</orcid>
        <affiliation>University of Bath</affiliation>
        <contact>FALSE</contact>
      </item>
      <item>
        <name>
          <family>Orr</family>
          <given>John</given>
        </name>
        <id>J.J.Orr@bath.ac.uk</id>
        <orcid>0000-0003-2687-6353</orcid>
        <affiliation>University of Bath; University of Cambridge</affiliation>
        <contact>FALSE</contact>
      </item>
      <item>
        <name>
          <family>Watson</family>
          <given>David</given>
        </name>
        <affiliation>AKTII</affiliation>
        <contact>FALSE</contact>
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    </creators>
    <title>Dataset for &quot;Stochastic modelling of imposed floor loads in modern office buildings&quot;</title>
    <subjects>
      <item>CP0120</item>
    </subjects>
    <divisions>
      <item>dept_civ_eng</item>
    </divisions>
    <keywords>Structural Engineering, Building reuse, Buildings, Imposed loads</keywords>
    <abstract>This dataset is the complete output from the office imposed floor loading simulations detailed in the paper &quot;Stochastic modelling of imposed floor loads in modern office buildings&quot;.

The model samples randomly located areas across an office floor plan, and includes both the sustained loading from furniture and intermittent loading from occupants. The sustained loading is constant (across the full floorplan) between simulated changes of occupancy, which occur once every six year on average. The intermittent loading depends on the randomly sampled daily occupancy scenario, which determines the probability distributions for the area per occupant and maximum occupant number per sampled area. Each day, five samples are taken at random locations for each sample area size, ranging from 5m2 to 100m2 in 5m2 intervals (100 samples per day in total). The model is run for 30x50 year periods, or 547,500 days, creating 54,750,000 samples in total. 

The CSV file titled &apos;Combined_Main_All_Areas&apos; contains the full dataset with default parameters, with each row representing one sample and containing data relating to the:

- Location of the sample
- Room type
- Occupancy scenario
- Sampled number of occupants
- Sustained loading
- Partition loading
- Total loading (pascals)

An additional CSV file titled &apos;Combined_Main_Yearly.csv contains only the maximum sampled load each year, for a given sample area. For both files, the results for each sampled area from 5 to 100m2 are included sequentially.

Two similar files with an identical format exist for the &apos;Reduced_Storage&apos; scenario, where the pressure of tall storage furniture items is limited  (as described in the accompanying publication).</abstract>
    <date>2026-05-22</date>
    <publisher>University of Bath</publisher>
    <full_text_status>public</full_text_status>
    <lay_summary>The dataset contains output from a simulation of the weights on the floor of office buildings, including furniture, stored items and people. The model is based on drawings of modern office layouts, and simulates changes of both furniture and people over time. A large number of samples are taken (100 each day), and the model is run over 1500 years to capture unusual loading events.</lay_summary>
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        <type>RightsHolder</type>
        <corpname>University of Bath</corpname>
      </item>
    </corp_contributors>
    <funding>
      <item>
        <funder_name>AKT II</funder_name>
        <project_name>AKTII/British Land loadings study (contract research)</project_name>
      </item>
    </funding>
    <research_centres>
      <item>cent_renew</item>
    </research_centres>
    <collection_method>The methodology can be found in the associated paper.</collection_method>
    <language>en</language>
    <version>1</version>
    <doi>10.15125/BATH-01607</doi>
    <related_resources>
      <item>
        <link>https://doi.org/10.1016/j.istruc.2026.112166</link>
        <type>pub</type>
      </item>
    </related_resources>
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