The OpenSees development for modelling 'structures in fire' was first started at University of Edinburgh in 2009. A number of students and researchers worked on this long-term project with their own contributions which enable OpenSees to perform analyses for 'structure in fire' including heat transfer ,thermo-mechanical analyses, and integrated analyses.
The Visiting Professorship of Opera is funded by New College, and invites leading figures in the operatic world to Oxford each year to give instruction and practice in their areas of expertise. Professors take up residence for short periods while they are involved in a variety of sessions which will include lectures, symposia, masterclasses and performance. Events are open to student and public audiences alike.
The data presented in this article are related to the research article entitled: “Information Strategies for Energy Conservation: A Field Experiment in India” (Victor L. Chen, Magali A. Delmas, Stephen L. Locke, Amarjeet Singh, 2017).The availability of high-resolution electricity data offers benefits to both utilities and consumers to understand the dynamics of energy consumption for example, between billing periods or times of peak demand. However, few public datasets with high-temporal resolution have been available to researchers on electricity use, especially at the appliance-level. In this article, we describe data collected in a residential field experiment for 19 apartments at an Indian faculty housing complex during the period from August 1, 2013 to May 12, 2014. The dataset includes detailed information about electricity consumption. It also includes information on apartment characteristics and hourly weather variation to enable further studies of energy performance. These data can be used by researchers as training datasets to evaluate electricity usage consumption.