10.7910/DVN/NFPQLWAsensio, Omar IsaacOmar IsaacAsensio0000-0003-2143-5022Georgia Institute of TechnologyApablaza, Camila ZCamila ZApablazaGeorgia Institute of TechnologyLawson, M. CadeM. CadeLawsonGeorgia Institute of TechnologyWalsh, Sarah ElizabethSarah ElizabethWalshGeorgia Institute of TechnologyHarvard Dataverse2020Business and ManagementEarth and Environmental SciencesEngineeringSocial Scienceselectric vehicles, workplace charging, field experiments, sustainabilityAsensio, Omar IsaacOmar IsaacAsensioGeorgia Institute of Technology2020-07-302020-07-30event/transaction data462959text/tab-separated-values1.0CC0 1.0This dataset contains information from 3,395 high resolution electric vehicle charging sessions. The data contains sessions from 85 EV drivers with repeat usage at 105 stations across 25 sites at a workplace charging program. The workplace locations include facilities such as research and innovation centers, manufacturing, testing facilities and office headquarters for a firm participating in the U.S. Department of Energy (DOE) workplace charging challenge. The data is in a human and machine readable *.CSV format. The resolution of the data is to the nearest second, which is the same resolution as used in the analysis of the paper. It is directly importable into free software.The code, data definitions and protocols for scientific replication have been deposited to the Github repository https://github.com/asensio-lab/workplace-charging-experimentNational Science Foundation