Heliyon

This file relates to a study entitled "From sense of place to visualization of place: Examining people-place relationships for insight on developing geovisualizations" by Robert Newell and Rosaline Canessa. The research consisted of a survey-based study, where residents of the Capital Regional District of BC, Canada, were surveyed about their relationship with local coastal places, concerns for the coast, and how they mentally visualize these places. Factor analysis identified four sense of place dimensions - nature protection values, community and economic well-being values, place identity and place dependence, and four coastal concerns dimensions - ecological, private opportunities, public space and boating impacts. Mental visualization data were coded and treated as dependent variables in a series of logistic regressions that used sense of place and coastal concerns dimensions as predictors. The file features the survey questions and SPSS output from the analysis.

General remarks This dataset was produced and used for the publication E. Sperber, U. Frey, V. Bertsch: Turn down your thermostats – a contribution to overcoming the European gas crisis? The example of Germany. Heliyon (2024), https://doi.org/10.1016/j.heliyon.2024.e23974 The dataset includes: Results for space heating demand at building archetype level Gas consumption results for space heating at building archetype level Parameters underlying the reduced-order building model ERA 5 weather data used in the model are publicly available at 10.24381/cds.adbb2d47. Data description Results for space heating demand at building archetype level The files titled "space_heating_demand_" followed by the relevant year show the calculated annual demand for space heating at the level of building archetypes, dependent on the temperature setpoint. The unit of measure is kWh/a. Results are available for the years 2010 and 2018 in relation to the weather in Frankfurt am Main, Germany. Gas consumption results for space heating at building archetype level The files titled "gas_consumption_" followed by the relevant year show the calculated annual gas consumption for space heating at the level of building archetypes, dependent on the temperature setpoint. The unit of measure is kWh/a. Results are available for the years 2010 and 2018 in relation to the weather in Frankfurt am Main, Germany. Parameters underlying the reduced-order building model The files start with "parameters", followed by the code of the building model (3R2C or 4R3C). The parameter files contain the following data: Ria: Thermal resistance between interior and the ambient in °C/kW Rie: Thermal resistance between interior and building envelope in °C/kW Rea: Thermal resistance between building envelope and the ambient in °C/kW Rhe: Thermal resistance between heaters and building envelope in °C/kW Rhi: Thermal resistance between heaters and interior in °C/kW Ci: Capacitance of interior in kWh/°C Ce: Capacitance of building envelope in kWh/°C Ch: Capacitance of heaters in kWh/°C Ai: Effective window area for absorption of solar gains on internal air in m² Tlimit: Heating limit temperature in °C Please refer to the publication for more details on the building models and their parameters: E. Sperber, U. Frey, V. Bertsch: Reduced-order models for assessing demand response with heat pumps – Insights from the German energy system. Energy and Buildings 223 (2020), https://doi.org/10.1016/j.enbuild.2020.110144

Simulation datasets underlying the study 'Design rules for time of flight Positron Emission Tomography (ToF-PET) heterostructure radiation detectors'

Simulation datasets underlying the study 'Design rules for time of flight Positron Emission Tomography (ToF-PET) heterostructure radiation detectors'