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Research data for "Changes in Social Capital during the COVID-19"
(2022)This dataset contains the summarised responses from our first and second social resilience survey studies launched online on 2020 and 2021 in both Singapore and Switzerland, respectively. This dataset includes our participants’ demographic information and also the calculated individual mean scores of each social capital by the responses of each participant.Dataset -
Social Resilience Survey Dataset (Switzerland)
(2022)This dataset contains the responses from our first and second social resilience survey studies launched online on July 2020 and July 2021 in Switzerland, respectively. We measure individuals’ and communities’ reactions to climate change or pandemic-related risks and crises. Participants were invited to complete a questionnaire, which contains questions on demographic and socio-economic characteristics as well as on participants’ embeddedness ...Dataset -
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Replication Data for: "What Drives Public Opinion on Disruptive Technologies? A Self-Driving Bus Trial be-tween Familiarity and Fatal Accidents"
(2020)Disruptive technologies that fundamentally affect markets and society, such as self-driv-ing vehicles, are associated with various positive effects, including environmental benefits due to increased efficiency. These expected benefits may only materialise, however, if such technologies receive sufficient public acceptance. Public acceptance of technology is a necessary precursor of a technology transition. In other contexts, acceptance ...Data Collection -
HRMS Breath Analysis Matlab Toolbox
(2019)This is a collection of Matlab functions and scripts, designed to aid the processing and analysis of high-resoltution mass spectrometry data from real-time breath analysis measurements. Details on the usage of the functions can be found in the individual help sections, as well as in appendix A of the dissertation "On-line Breath Analysis with Ambient High-Resolution Mass Spectrometry" by Martin Thomas Gaugg (2019), available on the ETH ...Other Research Data -
AV@MAVT Survey on the happiness of doctoral students and post-docs in the MAVT department
(2018)At the beginning of 2018, AV@MAVT conducted a survey on the happiness of doctoral students (DS) and post-docs (PD) with 3 main goals: (i) evaluate the happiness of the non-faculty scientific staff at D-MAVT (ii) identify the potential problems (iii) track the evolution since the previous survey conducted in 2016. Based on 189 completed survey responses (33% of response rate), this report summarizes the findings.Other Research Data