925 49 13671 8 42638 document 13671 Dataset of paper Moving to a green building indoor environment quality, thermal comfort and health.xlsx application/vnd.openxmlformats-officedocument.spreadsheetml.sheet 15fb73895d26cd4d9f463019d9ced3a6 MD5 1434661 2020-10-30 15:31:39 https://researchdata.bath.ac.uk/925/1/Dataset%20of%20paper%20Moving%20to%20a%20green%20building%20indoor%20environment%20quality%2C%20thermal%20comfort%20and%20health.xlsx 925 1 1 application/vnd.openxmlformats-officedocument.spreadsheetml.sheet other Dataset for Journal paper ' Moving to a green building indoor environment quality, thermal comfort and health'. en public cc_by

Dataset of paper Moving to a green building indoor environment quality, thermal comfort and health.xlsx

data archive 8398 disk0/00/00/09/25 2020-12-11 18:22:01 2024-07-04 14:09:45 2020-12-11 18:22:01 data_collection show Elnaklah Rana R.A.D.Elnaklah@bath.ac.uk 0000-0001-8365-8884 University of Bath TRUE Sukumar Natarajan DK0020 JN0010 dept_civ_eng Green building codes, perceived comfort, sick building syndrome, thermal comfort, Jordan. 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. 2020-12-11 University of Bath public RightsHolder University of Bath Al-Ahliyya Amman University https://doi.org/10.13039/501100016299 cent_eden It is a longitudinal research design with repeated measures. We followed the same occupants working in the same organisation, a commercial company in Jordan, as they moved from four conventional buildings to a single JGBG-certified “green” building. The repeated measures cover buildings' parameters (thermal conditions + CO2) and occupant aspect (satisfaction, thermal comfort, and perceived health). We did the measurements in three rounds: one in the old conventional buildings and twice in green building (6-month + 12-month after transition). The continuous data were collected using Raspberry-Pi based sensors. the cross-sectional data were collected used ISO7726 and ISO7730 compliant equipment ‘SWEMA’. We used the R programming language for analysis. 2017-07-15 2019-02-15 Amman, Jordan en 1 10.15125/BATH-00925 https://doi.org/10.1016/j.buildenv.2021.107592 pub open