Content

This dataset contains tweets from the Twitter accounts of BBC, CNN and the Economist from 2010-2021.

Methodology

Scraped tweets using twint, an advanced Twitter scraping tool that allows us to scrape tweets from Twitter profiles without using Twitter's API. The documentation can be found here.

Techsalerator's News Events Data for the United Kingdom: A Comprehensive Overview

Techsalerator's News Events Data for the United Kingdom provides a robust resource for businesses, researchers, and media organizations. This dataset aggregates information on major news events across the UK from various media sources, including news outlets, online publications, and social platforms. It offers valuable insights for those looking to track trends, analyze public sentiment, or monitor industry-specific developments.

Key Data Fields - Event Date: Records the exact date of the news event. Essential for analysts tracking trends over time or businesses reacting to market changes. - Event Title: A concise headline summarizing the event. Allows users to quickly categorize and evaluate news content based on relevance. - Source: Indicates the news outlet or platform reporting the event. Helps users gauge credibility and assess the event's reach and influence. - Location: Provides geographic details about where the event occurred within the UK. Useful for regional analysis or localized marketing strategies. - Event Description: Offers a detailed summary of the event, including key developments, participants, and potential impact. Important for understanding the context and implications.

Top 5 News Categories in the United Kingdom - Politics: Covers major news on government decisions, political movements, elections, and policy changes affecting the national landscape. - Economy: Focuses on economic indicators, inflation rates, international trade, and corporate activities impacting business and finance sectors. - Social Issues: Includes news on protests, public health, education, and other societal concerns driving public discourse. - Sports: Highlights events in football, cricket, and other popular sports, often generating widespread attention and engagement. - Technology and Innovation: Reports on tech developments, startups, and innovations in the UK’s tech sector, featuring emerging companies and advancements.

Top 5 News Sources in the United Kingdom - BBC News: A leading news outlet known for its comprehensive coverage of national and international news, including politics, economy, and social issues. - The Guardian: Provides in-depth reporting on a wide range of topics, including politics, culture, and current affairs. - Sky News: Offers breaking news updates and live coverage on major events across the UK and globally. - The Times: A well-established newspaper delivering detailed reports on politics, business, and social issues. - The Telegraph: Features extensive coverage of news, politics, and lifestyle topics, known for its analysis and commentary.

Accessing Techsalerator’s News Events Data for the United Kingdom To access Techsalerator’s News Events Data for the United Kingdom, please contact info@techsalerator.com with your specific needs. We will provide a customized quote based on the data fields and records you require, with delivery available within 24 hours. Ongoing access options can also be discussed.

Included Data Fields - Event Date - Event Title - Source - Location - Event Description - Event Category (Politics, Economy, Sports, etc.) - Participants (if applicable) - Event Impact (Social, Economic, etc.)

Techsalerator’s dataset is an invaluable tool for tracking significant events in the United Kingdom. It supports informed decision-making, whether for business strategy, market analysis, or academic research, providing a clear view of the country’s news landscape.

The NewMinerCollection was built by collecting news, in the English language, from The Guardian, CNN, BBC, Fox News, NyPost, China Daily and CNBC websites, from 1990 until 2016 using a web crawler. This dataset contains 7000 news items equally distributed among the seven categories:

id_category category 1 Arts, Culture & Entertainment 4 Economy, Business & Finance 6 Environmental Issues 10 Lifestyle & Leisure 11 Politics 15 Sport 13 Science & Technology

This dataset includes the transcripts of 21 expert interviews conducted for the research article titled "The Build Back Circular Framework: Circular Economy Strategies for Post-Disaster Reconstruction and Recovery." published in Circular Economy and Sustainability (Springer Nature) in 2025. The study investigates the application of circular economy (CE) principles—narrowing, slowing, closing, and regenerating resource loops—in post-disaster reconstruction and recovery, specifically focusing on the 2023 Kahramanmaraş earthquakes in Türkiye. The interviews explore stakeholder perspectives on the feasibility, challenges, and opportunities of integrating CE strategies into disaster recovery processes.

Methodology and Data Collection Techniques

Study Design: The research employs an exploratory qualitative design, combining an integrative literature review, a workshop, and semi-structured expert interviews to develop the Build Back Circular (BBC) framework.

Interviews:

• Participants: 21 experts across academia, government, construction, urban planning, and civil society.
• Format: Semi-structured interviews were conducted to allow in-depth exploration of themes while ensuring consistency across respondents.
• Duration: Each interview lasted approximately 30–100 minutes.
• Content: Questions focused on the application of CE principles in reconstruction, existing barriers, and actionable strategies.
• Location and Language: Interviews were conducted online in English and/or Turkish.

Ethical Considerations: Ethical approval was obtained from TU Delft HREC Committee, ensuring adherence to legal and ethical research requirements. Interviewees provided informed consent, including permission for anonymized data usage in open-access academic publications.

Note. E = Extraversion, A = Agreeableness, C = Conscientiousness, N = Neuroticism, O = Openness. pr = partial correlations controlling for ONS estimates for median income and BBC estimates for median age and proportion of females per LAD. Coefficients in bold are statistically significant at p < .001. N = 380.aN = 325.bN = 368.cN = 348.dN = 378.eN = 326.Associations between Personality and Demographic, Political, Economic, Social, and Health indicators at the LAD.

Cycling continues to grow in popularity, both as a means to commute and for exercise. While there is a plethora of research studying technology use in vehicular travel, cycling remains a relatively understudied area—especially within HCI. We conducted an ethnography, adopting an ethnomethodological lens, to study cyclists as they use their bicycles for routine purposes. Through the use of a handlebar-mounted 360-degree action video camera, we conducted our study longitudinally with participants over a number of weeks. Our analysis explicates our participants accountable use of different electronic technologies while on the go and in this paper we present four fragments of their use of different technologies as exemplars from our corpus. Our paper offers insights into the use of technology on bicycles, including how cyclists select moments of opportunity to use technology for different purposes. We conclude by offering design implications for the design of interactive technologies for cyclists

This deposit of data comprises a catalogue of video data collected, participant information, and total length of video clips.

The CHERISH-DE Centre at Swansea University is predicated on an extensive understanding of the human context and condition alongside the potential and limitations of digital technologies. It draws on - and unfolds - the broad experience and talent available to it, in its multidisciplinary researchers, to weave new socio-technical materials that will provide effective, comforting and pleasing fabrics to support future living. We combine researchers (both in the Centre and in our partners) from social science, computer science, economics, medicine, arts and humanities and law.

Over the past decade, the Swansea team has developed a unique focus on multi-disciplinary work within challenging human environments. Specifically, we have collaborated with a broad range of stakeholders to understand and address fundamental challenges connected with health and social care; resource constrained communities; and, safety and security.This perspective has built a platform of enabling concepts, technologies, policies and approaches ready to facilitate next stage digital economy innovations and the people skills required. The CHERISH Centre will use the notion of an extreme and challenging human environment as the fulcrum to drive understandings of how future products and services can evolve to fit and extend the human condition.

By focussing on a person's lived experience in relation to the three challenging human environments and contexts (C1-C3), we will maximise the likelihood that digital innovations address real human needs and values and hence lead to effective products and services. Each interconnected context theme will be led by investigators from a mix of disciplines.

*C1 Health and social care (e.g., medical devices, e-health, health informatics, patient services); *C2 Resource Constrained Communities (e.g., novel devices and services to access technology for social development and economic regeneration); *C3 Safety and Security (e.g., cyberterrorism, cybersecurity, 'dark web').

Using the lens of a challenging human environment, the CHERISH-DE Centre will provide concrete, diverse impacts, stimulating and supporting digital innovation by:

*producing compelling case-studies, proofs-of-concepts and toolkits to platform future product, policy and service development that will enrich the social, economic and cultural life of UK citizens.

*creating and equipping a cadre of next generation Digital Economy (DE) researchers. The Centre will begin life with a dedicated core of experienced multidisciplinary research leaders, along with Early Career Researchers (ECRs) who have already been developed through the distinctive DE style of working. This team will draw in, train and innovate with strong discipline researchers across the host institution and partners in the UK - including the other DE Centres and related activities - and internationally. This growing team will not only be able to do DE-type work in private and public sector organisations but, critically, will be a credible and powerful advocate for the approach's methods and motivations.

The Centre has been shaped and will evolve through the support and intense engagement with key private, public and third sector stakeholders including the BBC, DVLA, Microsoft, IBM and, critically for the economy, a broad and deep network of Small to Medium Enterprises

This project adopts two main research instruments - two online questionnaires (2 surveys of circa 1400 UK ‘new’ homeworkers each, June-July 2020 & Dec-February 2021). The second instrument is a series of semi-structed interviews (4 x Interviews with 80 ‘new’ homeworkers across UK, May 2020 – July 2021).

The COVID-19 outbreak has forced companies to embrace home-based working (HBW) at such speed that they have had little opportunity to consider the impact on their workers. It can be argued that the crisis has led to the most significant, intensive social experiment of digital, HBW that has ever occurred. The current situation, which involves the whole household being based at home, is an unprecedented challenge which may be at least an intermittent fixture, for the next eighteen months (BBC Futures, 25/03/20).

The press have suggested that this revolution might also offer an opportunity for many companies to finally build a culture that allows long-overdue work flexibility ... many employees for companies who have sent all staff home are already starting to question why they had to go into the office in the first place (The Guardian, 13/02/20). These optimistic takes on the current patterns of work focus on HBW's emancipatory potential, offering flexibility, the lubrication of work and family responsibilities and the promise of increased productivity. Yet, this new world order, where the home becomes a multi-occupational, multi-person workplace and school, not only challenges boundaries but also conceptions of the domestic space.

The impact of homeworking is likely to present significant variation depending on organisational support, the worker's role, socio-economic status, employment status, as well as household composition and size of living space. There are significant concerns regarding intensified HBW, including poor work-life balance, enhanced domestic tensions and disproportionately negative impacts on those in lower socio-economic groupings. Moreover, HBW increases the proportion of time women (most often) spend on housework and childcare, reproducing and reinforcing gender roles within the new 'work-space'

We will examine in-depth this radical shift in working arrangements and how it impacts on the wellbeing and productivity of workers and their households. Using a combination of in-depth interviews with sixty participants, representing the spectrum of this novel group of homeworkers, as well as a large-scale survey, this project (Working@Home) will provide unrivalled insights into the experience of home-working for the UK population and will serve as a permanent record of the lives of citizens in this unprecedented time.

The research will be key in understanding the expectations that organisations have placed on workers, as well as the robustness of support systems that have been put in place, taking into account the rapid advancement of home working systems with almost no preparation and only limited existing support structures or expertise. The findings will provide a benchmark for the resilience of both individuals and businesses and demonstrate the potential for the robustness of the infrastructure in the return to a 'new normal' after the crisis.

In order to ensure that the findings from the project are accessible to all, we are developing a website (workingathome.org.uk) that will host up to date information on the progress of the project, details of the project team, guidance for participants as well as information regarding our webinar series. The project aims to produce guidance to individuals, organisations and policy makers on how to best manage the ongoing medical emergency from a home-working perspective as well as providing guidance for any future pandemic scenario.

"The future is green energy, sustainability, renewable energy" - Arnold Schwarzenegger, 2012

Context

Renewable energy is essential for reducing carbon emissions and mitigating climate change. Additionally, renewable energy

• improves public health
• creates jobs
• ensures energy security through diversification
• stabilises energy prices

The importance of moving away from fossil fuels and towards renewable sources cannot be understated. As such, this dataset tracks the growth of the UK's renewable sector from 1990 to 2020.

Content

This dataset details the consumption of energy from 17 different renewable and waste sources from 1990 to 2020. It contains the energy use from each source individually as well as the total consumption. It also contains the total energy consumption from primary fuels and therefore the very useful metric: % of consumption from renewables!

Units: The unit of energy used in this dataset is the megatonne of oil equivalent (mtoe) . For context 1 mtoe = 42 petajoules (42 x 10^15 J)

Dataset Notes

• Wind includes wave and tidal from 2000
• Cross-boundary adjustment includes use by UK residents abroad and excludes by foreign residents in UK territory. It applies to bioethanol and biodiesel.
• All figures are reported to 3 decimal places. Total figures are based on raw data and therefore may not sum due to rounding.

Acknowledgements

This data is from Ricardo Energy and Environment, Office for National Statistics (ONS) and was downloaded from here on 9 October 2022.

The dataset's release date was 9 June 2022.

The dataset is licensed under the Open Government Licence v3.0 according to ONS.

Facing the sustainable development of agriculture in the Central Asia, the risk assessment of land resources exploitation under the influence of future climate change and land use change is carried out with the goal of cultivated land. The evaluation indices of land resources exploitation risk for farmland include topographic factors (such as elevation and slope), land use type, soil texture, precipitation, GDP per capita, grain production per capita, growth rate of agricultural economy, urbanization rate, natural growth rate of population, soil organic matter content, etc. Taking 2015 as the baseline and keeping other indicators remain unchanged, we use multi-model ensemble mean precipitation of climate models in CMIP6 (BBC-CSM2-MR, CanESM5, IPSL-CM6A-LR, MIROC6 and MRI-ESM2-0) and the land cover data under different emission scenarios in the future to estimate the risk of land resources exploitation in Central Asia under different scenarios in the future (SSP1-2.6, SSP2-4.5 and SSP5-8.5). The datasets include land resources exploitation in 2030s (2021-2040) and 2050s (2041-2060) under three future scenarios, with a spatial resolution of 0.5°×0.5°. It is expected to provide basic information for future agricultural production and land resources exploitation in five countries in Central Asia.

Tourism efficiency and decomposition for economic zone.