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This repository gives you access to the CLIMATEREADY survey dataset containing thermal comfort votes during the 2021 and 2022 heatwave periods in Pamplona, Spain, as well as other relevant parameters self-reported by surveyees (e.g. occupant characteristics and behaviour, key building/dwelling characteristics, sleep problems, heat-related symptoms)

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juan-gamero-salinas/climateready-survey-pamplona

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CLIMATEREADY 'Thermal Comfort Survey Amid Heatwaves' Dataset

This repository gives you access to the CLIMATEREADY survey dataset containing thermal comfort votes during the 2021 and 2022 heatwave periods in Pamplona, Spain, as well as other relevant parameters self-reported by surveyees (e.g. occupant characteristics and behaviour, key building/dwelling characteristics, sleep problems, heat-related symptoms), used as case study for the research paper Exploring indoor thermal comfort and its causes and consequences amid heatwaves in a Southern European city—An unsupervised learning approach, accepted and published in Building & Environment Journal.

This dataset is part of the CLIMATEREADY research project. The aim of this project is the assessment of the adaptability of residential dwellings in Spain to the global warming, promoting passive measures in the design and use of the buildings to get an adequate indoor environment in summer conditions, minimising and quantifying overheating risks and with the minimum cooling.

Column names and description

parameter description
ID Unique dwelling identifier [integer]
Timestamp Data collection timestamp [dd/mm/yyy hh:mm]
Date Data collection date [YYMMDD]
Hour Data collection hour [hh]
hw_True Hot weather condition indicator [boolean, True = 1]
meanTout Mean outdoor temperature [ºC, float]
ThermostatTemp Thermostat temperature setting [ºC, float]
TSen_day Temperature sensation during the day, on the ASHRAE scale [-3 (cold) to +3 (hot), integer]
TSen_night Temperature sensation during the night, on the ASHRAE scale [-3 (cold) to +3 (hot), integer]
TSatisf_day Temperature satisfaction during the day, on the ASHRAE scale [-3 (highly unsatisfied) to +3 (highly satisfied), integer]
TSatisf_night Temperature satisfaction during the night, on the ASHRAE scale [-3 (highly unsatisfied) to +3 (highly satisfied), integer]
TPref_day Temperature preference during the day, on the ASHRAE scale [-1 (prefer cooler) to +1 (prefer warmer), integer]
TPref_night Temperature preference during the night, on the ASHRAE scale [-1 (prefer cooler) to +1 (prefer warmer, integer)]
Gender Respondent gender [boolean, Woman = 1]
Age Respondent age [integer]
NatVent_night Nighttime natural ventilation usage [boolean, True = 1]
UsesCoolingAlternatives Use of alternative cooling (e.g. portable fans) [boolean, True = 1]
Hour_7_14h_True Activity indicator from 7 AM to 2 PM [boolean, True = 1]
Hour_14_21h_True Activity indicator from 2 PM to 9 PM [boolean, True = 1]
Hour_21_7h_True Activity indicator from 9 PM to 7 AM [boolean, True = 1]
ShadingDevices_No No use of shading devices [boolean, True = 1]
ShadingDevices_WhenDirectSun Use shading devices when in direct sun [boolean, True = 1]
ShadingDevices_AllAfternoon Use shading devices all afternoon [boolean, True = 1]
ShadingDevices_AllMorning Use shading devices all morning [boolean, True = 1]
ShadingDevices_AllDay Use shading devices all day [boolean, True = 1]
NatVent_day_ToutCool Use natural ventilation during the day when outside is cooler [boolean, True = 1]
NatVent_day_Anytime Use natural ventilation during the day at any time [boolean, True = 1]
NatVent_day_No No daytime natural ventilation [boolean, True = 1]
hasAC_No No air conditioning [boolean, True = 1]
hasAC_DormOrLiving Air conditioning in dormitory or living area [boolean, True = 1]
hasAC_DormAndLiving Air conditioning in both dormitory and living area [boolean, True = 1]
hasAC_AllRooms Air conditioning in all rooms [boolean, True = 1]
HouseholdSize Number of people in household [integer, True = 1]
is_31001 Is in postal code 31001 [boolean, True = 1]
is_31002 Is in postal code 31002 [boolean, True = 1]
is_31003 Is in postal code 31003 [boolean, True = 1]
is_31004 Is in postal code 31004 [boolean, True = 1]
is_31005 Is in postal code 31005 [boolean, True = 1]
is_31006 Is in postal code 31006 [boolean, True = 1]
is_31007 Is in postal code 31007 [boolean, True = 1]
is_31008 Is in postal code 31008 [boolean, True = 1]
is_31009 Is in postal code 31009 [boolean, True = 1]
is_31010 Is in postal code 31010 [boolean, True = 1]
is_31011 Is in postal code 31011 [boolean, True = 1]
is_31012 Is in postal code 31012 [boolean, True = 1]
is_31013 Is in postal code 31013 [boolean, True = 1]
is_31014 Is in postal code 31014 [boolean, True = 1]
is_31015 Is in postal code 31015 [boolean, True = 1]
is_31016 Is in postal code 31016 [boolean, True = 1]
isNot_pamplona Is not in Pamplona [boolean, True = 1]
before_1980 Building built before 1980 [boolean, True = 1]
between_1980_2006 Building built between 1980 and 2006 [boolean, True = 1]
after_2007 Building built after 2007 [boolean, True = 1]
dwelling_OldTown Located in old town [boolean, True = 1]
dwelling_Block Located in a block [boolean, True = 1]
dwelling_Tower Located in a tower [boolean, True = 1]
dwelling_Detached Single-family dwelling [boolean, True = 1]
dwelling_Other Other types of dwelling [boolean, True = 1]
Rehab_No No retrofitting, or only structural or accessibility retrofitting [boolean, True = 1]
Rehab_Yes Energy retrofitting: wall and/or roof insulation, window replacement [boolean, True = 1]
Income_below1500 Monthly income below 1500 [boolean, True = 1]
Income_between_1500_3500 Monthly income between 1500 and 3500 [boolean, True = 1]
Income_above_3500 Monthly income above 3500 [boolean, True = 1]
Occ_NormallyAtHome Normally at home [boolean, True = 1]
Occ_NotAlwaysAtHome Not always at home [boolean, True = 1]
SrfcArea_below90 Surface area below 90 sqm [boolean, True = 1]
Storey_UpperFloor Upper floor dwelling [boolean, True = 1]
Storey_NotApartment Not an apartment but a single-family dwelling [boolean], True = 1
numOrient_1 Dwelling has only one orientation [boolean, True = 1]
numOrient_above2 Dwelling has more than two orientations [boolean, True = 1]
LivRoom_SrfcAreaWindow_below2 Living room window surface area below 2 sqm [boolean, True = 1]
LivRoom_SrfcAreaWindow_above2 Living room window surface area above 2 sqm [boolean, True = 1]
Bedroom_SrfcAreaWindow_below2 Bedroom window surface area below 2 sqm [boolean, True = 1]
Bedroom_SrfcAreaWindow_above2 Bedroom window surface area above 2 sqm [boolean, True = 1]
AC_Installed_Yes Dwelling has air conditioning installed [boolean, True = 1]
WouldYouInstallAC_Yes Would install AC? [boolean, True = 1]
hasCoolRoom Has 'cool' room (i.e. 'cool' retreat) [boolean, True = 1]
hasCoolingAlternatives Occupant has cooling alternatives (e.g. portable fans) [boolean, True = 1]
HeatSymptoms Occupant has heat symptoms during the day (e.g. dizziness or low blood pressure, headache, palpitations, hyperventilation) [boolean, True = 1]
SleepingProblems Occupant reports having sleep problems due to heat [boolean, True = 1]

Running the Python code within Google Colab

The unsupervised learning techniques were implemented using Scikit-Learn version 3.2.1

Running the code in R

Use the csv files R_logistic_hclust and R_logistic_kmeans to run the code in R. You can find the code in Github. You need to set your personal working directory (setwd).

Preview HTML file

Download the climateready.html file, and once downloaded, open it with your default PC browser.

Please cite us if you use this dataset

Gamero-Salinas J., López-Hernández D., González-Martínez P., Arriazu-Ramos A., Monge-Barrio A., Sánchez-Ostiz A. (2024). Exploring indoor thermal comfort and its causes and consequences amid heatwaves in a Southern European city—An unsupervised learning approach, Building and Environment, 265. DOI: https://doi.org/10.1016/j.buildenv.2024.111986

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This repository gives you access to the CLIMATEREADY survey dataset containing thermal comfort votes during the 2021 and 2022 heatwave periods in Pamplona, Spain, as well as other relevant parameters self-reported by surveyees (e.g. occupant characteristics and behaviour, key building/dwelling characteristics, sleep problems, heat-related symptoms)

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