This dataset consists of 1,101 valid thermal comfort votes and 787 incomplete thermal comfort records that were collected between 2017 and 2019, during summer and winter. Each record includes measurement of four physical parameters affecting thermal sensation: air temperature (Ta), mean radiant temperature (Tr), relative humidity (RH), and air movement speed (Va). The measurements were coincident with the time of each individual survey of thermal sensation vote (TSV), to be compared to each other. Data were collected in 31 air-conditioned buildings in Amman, Doha, Dubai, and Jeddah. Measurements were done in four occupancy types: offices, schools, hospital, and mosques.

This dataset includes:1- longitudinal objective sensor data for both thermal conditions and Indoor Air Quality (IAQ).2- Cross section data for thermal conditions.3- subjective data for occupants' satisfaction, thermal comfort, and sick building syndrome.4- Subjective data of occupants’ response of environment attitude inventory.

This data was collected from 13 office buildings in Amman Jordan. It covers five green 'LEED' 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.