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This dataset was generated via a focused piece of research conducted by Dr Matilda Aspinall and Dr Amy Twigger Holroyd which investigated the experiences of students and staff involved in Fashion Fictions projects in 2022 at two institutions: LASALLE College of the Arts in Singapore and Nottingham Trent University. This focused research was situated within the broader Fashion Fictions project. Fashion Fictions, founded by Amy Twigger Holroyd in 2020, brings people together to generate, experience and reflect on engaging fictional visions of alternative fashion cultures and systems. Through these activities, we gain new perspectives on challenges, possibilities and pathways for change in the real world. The project is structured in three stages. Stage 1 prompts contributors to create brief written outlines of fictional fashion cultures and systems, known as Worlds; at Stage 2, participants put flesh on these outlines and create visual or material prototypes to represent their cultures, known as Explorations; at Stage 3, they performatively enact practices or events from the fictional worlds. To find out more about Fashion Fictions, visit the project website. To see other data linked to the project, visit the Fashion Fictions Zenodo community. -------------------------------- In both institutions, Fashion Fictions was initially introduced to the curriculum in the 2020/21 academic year; the activities discussed here took place in the following year, with a second cohort of students. At NTU, first-year undergraduate students from BA (Hons) courses in Fashion Design, Textile Design and Fashion Knitwear Design & Knitted Textiles undertook a short Stage 2 Fashion Fictions project. Spanning three two-hour workshops, the project was part of a Future Thinking toolkit within a module that aims to develop students’ intellectual curiosity and appreciation of the future as something that can be shaped and questioned. Working in small cross-course groups, students were given a specified Stage 1 fiction and asked to create a visual or material prototype to represent everyday life in that world, presented via a selection of images and a short explanatory text. At LASALLE, Fashion Fictions was set up as a major project extending across a 14-week semester for second-year students on two BA (Hons) programmes: Fashion Media and Industries and Fashion Design and Textiles. Also working in cross-course collaborative groups, the students first created their own Stage 1 world and then progressed to create a collection of Stage 2 prototypes in the form of garments and related media such as photographs and films, accompanied by an extensive body of supporting work. -------------------------------- in April and May 2022 we conducted semi-structured interviews with tutors involved in the projects – Lorraine Warde (Principal Lecturer in Fashion Design) at NTU and Martin Bonney and Kathryn Shannon Sim Yen Ping (Lecturers in Fashion, interviewed together) at LASALLE – and with three student groups, selected by the tutors, from each institution. The interview schedules for students and tutors each comprised four reflective questions, designed to gain an insight into the students’ experiences and the tutors’ observations. Each recorded interview lasted between twenty and sixty minutes. -------------------------------- The dataset is organised in nine folders: 1 Project context Project website About page from February 2022 (explaining the wider project at the time of this research). Project website Education projects page from January 2022 (giving context to the education projects taking place at the time of this research). 2 Activity guidance Project website Stage 1 (World) online guide from January 2022 (as available for use by LASALLE students). NTU virtual workspace Stage 2 (Exploration) guidance (as used by NTU students and providing an indication of the type of guidance that would have been offered to LASALLE students for their Stage 2 work - although their project was much longer in duration). 3 Interview documentation Information sheet and consent form given to research participants. Interview questions for staff and students, shared with all participants in advance. 4 LASALLE staff interview Transcript of interview with Martin Bonney and Kathryn Shannon Sim Yen Ping (Lecturers in Fashion). 5 LASALLE student interviews Transcripts of interviews with three student groups, each identified by the number/letter of the Stage 1 World and Stage 2 Exploration they created (as listed on the project website Worlds and Explorations pages). 6 LASALLE student work Project work (Stage 1 Worlds and Stage 2 Explorations) created by the three student groups interviewed, as displayed on the project website. One group (World 154) did not submit their Exploration for the website. 7 NTU staff interview Transcript of interview with Lorraine Warde (Principal Lecturer in Fashion Design). 8 NTU student interviews Transcripts of interviews with three student groups, each identified by the number/letter of the Stage 2 Exploration they created (as listed on the project website Explorations page). 9 NTU student work Project work (Stage 2 Explorations) created by the three student groups interviewed. Two groups' work is as displayed on the project website. One group (World 95, Exploration X) did not submit their Exploration for the website and so their internal presentation has been included instead.

The Environmental Displacement Dataset (EnDis) quantifies human movement in response to sudden-onset natural hazards, including floods, storms, wildfires, landslides, earthquakes, and volcanic activity.

Originally developed and validated at the Cabauw (Netherlands) topographically flat onshore location, the alpha-I wind resource extrapolating method was tested at the FINO3 offshore site in the North Sea (Germany). The aim was to prove its validity also when applied over a substantially different environment in terms of surface characteristics and stability conditions. Data from local mast at 30, 80, and 100 m were used, with extrapolations to 80-m and 100-m turbine hub heights accomplished based on 30-m turbulence intensity observations. Trained over a 2-year period (2011-2012), the method was validated on year 2013. Similarly to the onshore application, the method was reliable in extrapolating wind speed to both 80 m and 100 m, with bias within 5%, NRMSE = 0.20 and r = 0.94. Conversely, scores were largely better than at the onshore site in predicting the annual energy yield, biased by 0.41-1.02% at 80 m, and 1.12-1.36% at 100 m. The method proved to be highly sensitive to the stability classification, as not considering this option increased its biases to 4.51-5.93% at 80 m, and 7.46-8.23% at 100 m. Method's reliability might suitably help reduce the number of masts installed throughout a large offshore area.

ON 16 NOVEMBER 2000, the final report of the World Commission on Dams (WCD) was launched in London, in the presence of South Africa’s former president Nelson Mandela. This represented a remarkable milestone in the history of dam policy and politics. During its two-year existence, WCD had conducted the most extensive review of research and evidence regarding the planning, impacts, and management of large dams. It had engaged with numerous stakeholders around the globe. It also made comprehensive recommendations about how to improve dam planning and management.

The most widely used process for hydrogen production is steam methane reforming. It can be carried out using a membrane reactor in which simultaneous hydrogen production and purification occur. Mathematical modeling of these reactors plays a key role in the selection of the design and operating parameters that yield high performance for the reactor. This review study discusses, synthesizes, and compares different mathematical modeling studies on the packed bed membrane reactors for hydrogen production from methane found in the literature. Different approaches used in these modeling studies for the hydrogen permeation steps, reaction kinetic expressions, phases involved (pseudo-homogeneous and heterogeneous), and spatial dimensions (one, two, and three dimensional) are given.

Abstract This work assesses the impacts of aggressive driving behavior on pollutants emissions and energy consumption at a city level. Furthermore, it performs an economic analysis considering the potential avoided emissions and fuel savings and discusses potential policy measures to address this topic. The results showed that aggressive driving significantly impacts energy consumption and emissions, with energy consumption increasing by more than ∼200% and emissions by 330% for aggressive driving compared to non-aggressive driving (in MJ/km and in g/km, respectively). This increment was found to be even higher for diesel vehicles than for gasoline vehicles. On the contrary, gasoline vehicles showed higher percentages of increase for most emissions (CO, NOx and NO). Results also revealed that aggressive driving impacts are higher for local streets when examining the city level. Moreover, the economic analysis showed that significant cost reductions may be achieved by avoiding aggressive driving, reaching up to 52.5 k€ on a daily basis. In conclusion, this study is of particular relevance to policy makers and urban planners, enabling to obtain a comprehensive overview of the impacts of aggressive driving behaviors at a city level and providing new insights to perform further developments and to assess the feasibility of the implementation of policy measures.

In this study, air concentrations of BaP in two different seasons (winter 2015 and summer 2016) and BaP levels in ground vegetation from Tarragona County were used as control simulations performed with the WRF-CHIMERE air quality modelling system, in order to reproduce the incidence of that hazardous chemical in air and soils. The CTM was validated for the present climatology, showing a good ability to represent air and soil concentrations of BaP over the target domain (petrochemical, chemical, urban and background sites), particularly in the winter. Then, the variation of the BaP concentrations in air and soils were simulated for the time series 1996-2015 and for the climate change scenario RCP8.5 (2031-2050). While an increase is projected for the levels in air, particularly in chemical and remote sites where the variation can go up to 10%, in terms of soil deposition the findings are the opposite, with an evident decrease in soil BaP concentrations, particularly for background sites. Finally, a potential health effect of BaP for the local population (lung cancer) was assessed. Although according to the projections the EU threshold for BaP atmospheric incidence (1 ng m-3) will not be reached by 2050, there will be an increase in the life-time risk of lung cancer, particularly in the most populated areas within the simulation domain.

Alternative fuels and energy vectors are becoming increasingly important in terms of technical, geopolitical, economic, and environmental aspects. In particular, gaseous fuels and vectors, such as fossil or synthetic natural gas (NG) blended with hydrogen, commonly help provide optimal strategies to reduce global and toxic emissions of internal combustion engines, owing to their adaptability, anti-knock capacity, lower toxicity of pollutants, reduced CO2 emissions, and costeffectiveness. However, diesel engines still represent the reference category among internal combustion engines in terms of maximum thermodynamic efficiency. The possibility offered by dual-fuel (DF) systems to combine the efficiency and performance of diesel engines with the environmental advantages of gaseous fuels has been the subject of extensive investigations. However, the simple replacement of diesel fuel with gaseous fuel does not allow for optimising the engine performance, owing to the high percentage of unburned gaseous fuel, which compromises the potential reduction of CO2; therefore, more complex combustion strategies should be realised. In this study, with the aim of improving the DF combustion process, an experimental investigation was performed to analyse low-temperature combustion (LTC), using NG and two enriched hydrogen-compressed NG blends as primary fuels. The LTC mode was activated by means of a very early advanced pilot injection and carried out in two close steps. The double pilot injection was used to control the energy release rate in the first combustion stage, thereby minimizing the increase of the rate of pressure and allowing the extension of the operation range under LTC. The experimental activity was also focused on analysing the particle emissions, as it is well known that these emissions, together with those of nitrogen oxide, constitute the main pollutants resulting from diesel fuel combustion. The results demonstrated the potential to reduce the unburned fuel, NOx, and particle emissions simultaneously, while maintaining equivalent CO2 emissions to a diesel-only engine. Both the timing and pressure of the pilot injection proved to be critical parameters for optimising the emissions and performance

This report aims to provide concept designs to integrate the SunDial/TES system with the MANDREKAS and ArcelorMittal end-users. These concept designs are important to understand how the ASTEP system will be integrated with the end-users including the tailored designs for the specific needs of each end-user. The end-user specific ASTEP system is introduced and existing heating/cooling systems are explained in schematic diagrams. A small number of integration options are presented in detailed schematics. Possible integration components such as steam generator for MANDREKAS and pipe heater for ArcelorMittal are investigated at the component level. In addition, key fluid properties at the critical locations such as inlet and outlet of the components are summarised.