The data relates to the paper that analyses the determinants or factors that best explain student research skills and success in the honours research report module during the COVID-19 pandemic in 2021. The data used have been gathered through an online survey created on the Qualtrics software package. The research questions were developed from demographic factors and subject knowledge including assignments to supervisor influence and other factors in terms of experience or belonging that played a role (see anonymous link at https://unisa.qualtrics.com/jfe/form/SV_86OZZOdyA5sBurY. An SMS was sent to all students of the 2021 module group to make them aware of the survey. They were under no obligation to complete it and all information was regarded as anonymous. We received 39 responses. The raw data from the survey was processed through the SPSS statistical, software package. The data file contains the demographics, frequencies, descriptives, and open questions processed.     The study...

Files attached:

README.txt

Description of project dataset

survey_data.csv

Survey response dataset used in analyses

survey_metadata.csv

Column descriptions for survey_data.csv

KelpWanted_Final_Report_and_Appendices.pdf

Master's thesis, with appendices

KelpWanted_Executive_Summary.pdf

Executive summary of master's thesis

We anonymously surveyed members and non-members of the LGBTQIA+ community of conservation students and professionals in North America to explore participants’ lived experiences in conservation regarding safety, belonging, and inclusion. Our 737 responses included 10% that identified as genderqueer, gender nonconforming, questioning, nonspecific, genderfluid, transgender woman, agender, transgender man, two spirit Indigenous, or intersex (hereafter gender expansive), and 29% bisexual, queer, lesbian, gay, asexual, pansexual, omnisexual, questioning, or non-heterosexual (hereafter queer+). Data also include results of a non-response survey of 157 individuals who chose not to complete our the full survey, but answered basic demographic questions to determine non-response bias., Responses were solicited from an email list that included natural resource, conservation, ecology, wildlife, and fisheries departments from public and private universities; 4-year colleges; 2-year colleges; professional schools; technical, vocational, or trade schools; Hispanic-serving institutions; historically Black colleges and universities; tribal colleges, and women’s colleges. To include perspectives from non-academic settings and to target LGBTIQA+ individuals, we included listserv members of the “Out in the Field'' LGBTQIA+ and ally working group of the Wildlife Society as part of our survey population. We distributed a Qualtrics suvey and consent letter to ask respondents about their feelings and experiences of safety, belonging, and inclusion working in the field of conservation., Data were analyzed in R version 4.2.2. , # LGBTQIA+ experiences in conservation survey data

https://doi.org/10.5061/dryad.rfj6q57gr

Survey data from 737 conservation students and professionals describing their lived experience and feelings on inclusion, safety, and belonging while working in the field of conservation. Data were used to describe lessened feelings of inclusion, safety, and belonging among LGBTQIA+ conservation professionals compared to non-LGBTQIA+ professionals. We also include a file of 157 individuals who did not respond to the main survey, but responded to a short survey of demographic questions to quantify non-response bias. Location data and extended text response data have been removed to protect survey respondents' anonymity.

Description of the data and file structure

Data are an anonymous output from a Qualtrics survey. Location information has been removed for further anonymity. Includes basic demographic information and quantitative ratings of feelings...

The current dataset contains a sample of graduate criminal justice students from a regional midwestern university. The data were gathered in Spring 2024. The population was 27 students. There were a total of 16 students who responded to the online survey which was 59.3% of the total graduate CJ student population at this university. The survey was conducted through Qualtrics.Questions asked included: demographics, criminal justice graduate advising benefits and improvements, advising styles, criminal justice graduate program benefits and improvements, and final comments.

The Cardiff Travel Survey is a longitudinal survey that aims to (a) establish current and previous (before the coronavirus outbreak) travel habits; (b) explore how travel-related attitudes, social norms and perceptions change over time; and (c) examine the interplay between individual (perceptual) and environmental (infrastructural) factors in travel mode choice, in particular in relation to the uptake of active travel such as walking and cycling in the City of Cardiff, Wales. The Cardiff Travel Survey 2024 (Wave 4) is an opportunity sample that was collected in 2024 (n=2,427) by the Centre for Climate Change and Social Transformations (CAST), and is the fourth of a longitudinal series of surveys to be held annually for the duration of the centre. Data for the Cardiff Travel Survey 2024 were collected between 11 April 2023 and 05 June 2024. Participants of the Cardiff Travel Survey 2023 who consented (n=1,324) were recontacted via email to invite them to take part in the 2024 survey. Furthermore, participants were recruited through posts on social media, such as Facebook® and Twitter®. Invitations were posted on CAST and investigator accounts. The survey was hosted on the Qualtrics online survey platform and available in both English and Welsh. Inclusion criteria were that participants had to be at least 18 years of age and live in or travel regularly to Cardiff. The English version of the survey was completed by 2,628 respondents and the Welsh version by 9 respondents. There was evidence of bot activity in the English survey. This led to 1,630 responses to be removed. Incomplete responses (n=129), defined as those without any answers beyond socio-demographic, were removed from the dataset. A further 81 respondents did not complete the first section on current travel behaviours and were also removed. This left a final sample of n=797 adults. Participants were asked to create a unique code that can be used match this survey to the previous and next surveys without knowing their identity. Main topic areas of the questionnaire were: Demographics, Travel behaviours, Physical activity, Physical health and mental wellbeing, Perceptions of infrastructure and environmental quality, Travel-related social identity, Attitudes to active travel, Active travel related social norms, Support for active travel policies, and Unique ID.The Centre for Climate Change Transformations (C3T) will be a global hub for understanding the profound changes required to address climate change. At its core, is a fundamental question of enormous social significance: how can we as a society live differently - and better - in ways that meet the urgent need for rapid and far-reaching emission reductions? While there is now strong international momentum on action to tackle climate change, it is clear that critical targets (such as keeping global temperature rise to well within 2 degrees Celsius relative to pre-industrial levels) will be missed without fundamental transformations across all parts of society. C3T's aim is to advance society's understanding of how to transform lifestyles, organisations and social structures in order to achieve a low-carbon future, which is genuinely sustainable over the long-term. Our Centre will focus on people as agents of transformation in four challenging areas of everyday life that impact directly on climate change but have proven stubbornly resistant to change: consumption of goods and physical products, food and diet, travel, and heating/cooling. We will work across multiple scales (individual, community, organisational, national and global) to identify and experiment with various routes to achieving lasting change in these challenging areas. In particular, we will test how far focussing on 'co-benefits' will accelerate the pace of change. Co-benefits are outcomes of value to individuals and society, over and above the benefits from reducing greenhouse gas emissions. These may include improved health and wellbeing, reduced waste, better air quality, greater social equality, security, and affordability, as well as increased ability to adapt and respond to future climate change. For example, low-carbon travel choices (such as cycling and car sharing) may bring health, social and financial benefits that are important for motivating behaviour and policy change. Likewise, aligning environmental and social with economic objectives is vital for behaviour and organisational change within businesses. Our Research Themes recognise that transformative change requires: inspiring yet workable visions of the future (Theme 1); learning lessons from past and current societal shifts (Theme 2); experimenting with different models of social change (Theme 3); together with deep and sustained engagement with communities, business and governments, and a research culture that reflects our aims and promotes action (Theme 4). Our Centre integrates academic knowledge from disciplines across the social and physical sciences with practical insights to generate widespread impact. Our team includes world-leading researchers with expertise in climate change behaviour, choices and governance. We will use a range of theories and research methods to fill key gaps in our understanding of transformation at different spatial and social scales, and show how to target interventions to impactful actions, groups and moments in time. Participants for the Cardiff Travel Survey (Wave 4) were recruited through posts on social media, such as Facebook and Twitter. Invitations were posted on CAST, Cardiff University, and investigator accounts. The survey was hosted on the Qualtrics online survey platform and available in both English and Welsh.

This dataset is contained in two spreadsheets. The first spreadsheet has the full raw data exported from a survey using Qualtrics. The data contains demographic details, esports experience, answers to the International Physical Activity Questionnaire-Long Form, and answers to the Behavioural Regulations towards Exercise Questionnaire. This was collected from 796 respondents, consisting of competitors in multiple popular esports games. The second spreadsheet combines answers to the International Physical Activity Questionnaire with physical activity measurements over 7 days collected using wrist-worn accelerometers. Both answers and results relate to a convenience sample of 18 local intervarsity e’athletes.

Analysis reported in the related publication was able to demonstrate that players over-estimate physical activity and that e’athletes categorised as high physical activity displayed significantly higher levels of intrinsic motivation, when compared to players categorised as low and moderate physical activity.

Demographic characteristic of participants (N = 918).