Higher education has a crucial role to play in responding to the climate crisis, not only through carrying out research, but also through teaching, community engagement and public awareness. The Transforming Universities for a Changing Climate (Climate-U) project aimed to strengthen the contribution of universities to addressing the causes and impacts of climate change in lower-income contexts. In doing so, it contributed to the broader task of understanding the role of education in achieving the full set of Sustainable Development Goals (SDGs). First starting in 2020, it focused on five countries: Brazil, Fiji, Kenya, Mozambique and the UK. The project sought to answer two main research questions in these countries: What are the effects of locally-generated university initiatives on actions and ideas relating to climate change?; and How do they inform our understandings of the role of higher education in sustainable development? The qualitative and quantitative collections of data deposited here contribute to an analysis of that answers these questions.

We start with a description of the qualitative data collection. A case study design was adopted to guide the research. The focus of the case studies was variously on community engagement, curriculum and campus greening activities. The collaborations and partnerships that exist between the university and external organisations on climate action were also examined during the study. Interviews and focus groups were conducted with a range of key informants (community members, academics, students and non-government organisations). The broad aim of the interviews and focus groups was to establish respondents' views on the role of universities in responding to climate change through and beyond the teaching, research, community engagement and public awareness functions. This was in order to determine the extent to which universities can themselves be transformed in order to respond to the climate crisis, as well as transform the marginalised communities surrounding universities.

The qualitative case studies formed part of the broader research method for the project – participatory action research (PAR). Not all of the participating universities made formal data collection of interviews and focus groups as part of the PAR. Qualitative data from four of the participating institutions are included in this dataset.

We now turn to a description of the quantitative data collection. A survey on climate change was conducted in twelve universities in Brazil, Fiji, Kenya and Mozambique. The survey examined the experiences of students, their engagement in climate action and their attitudes towards environmental issues. It responded to the overall aim of the project, which was to generate insights into how to maximise the contribution of universities to the mitigation and adaptation challenges of climate change, and to understand how universities might contribute to climate justice. To this end, the survey aimed to assess students’ perceptions and experiences regarding climate change and their universities, and their environmental attitudes. It was designed to be internationally comparable and to draw on existing work and questions, so a number of previous surveys and studies were reviewed in the process of drafting our questionnaire.

Climate change is widely recognised as the most critical challenge of our age, with the recent Intergovernmental Panel on Climate Change report suggesting that to avoid devastating effects, the world must move entirely to renewables by 2050. This project aims to strengthen the contribution of universities in lower-income countries to addressing this challenge.

The role of research and innovation in this task is widely acknowledged, and universities around the world are closely involved in the tasks of monitoring, interpreting and responding to the process and effects of global warming. Yet the broader role of universities in addressing the climate crisis is as yet under-researched. How do courses provided by universities address the question of climate change, and what forms of climate-related learning do students engage with on campus and beyond? What impacts do universities have on climate change through community engagement activities, in fostering public debate on the issue and in the way they embody the principles of sustainability in their own institutional forms?

These roles of universities beyond knowledge production are critical in addressing climate change, given the deep social, political and economic roots of the crisis, and the need to engage with professional development, civic action and public awareness. At the same time, it is clear that despite the potentialities of universities in this regard, much more could be done. This is particularly the case in low and middle-income countries in which there is disproportionate impact of the most devastating effects of climate change.

This project addresses these questions...

This data set contains the replication data and supplements for the article "Knowing, Doing, and Feeling: A three-year, mixed-methods study of undergraduates’ information literacy development." The survey data is from two samples: - cross-sectional sample (different students at the same point in time) - longitudinal sample (the same students and different points in time)Surveys were distributed via Qualtrics during the students' first and sixth semesters. Quantitative and qualitative data were collected and used to describe students' IL development over 3 years. Statistics from the quantitative data were analyzed in SPSS. The qualitative data was coded and analyzed thematically in NVivo. The qualitative, textual data is from semi-structured interviews with sixth-semester students in psychology at UiT, both focus groups and individual interviews. All data were collected as part of the contact author's PhD research on information literacy (IL) at UiT. The following files are included in this data set: 1. A README file which explains the quantitative data files. (2 file formats: .txt, .pdf)2. The consent form for participants (in Norwegian). (2 file formats: .txt, .pdf)3. Six data files with survey results from UiT psychology undergraduate students for the cross-sectional (n=209) and longitudinal (n=56) samples, in 3 formats (.dat, .csv, .sav). The data was collected in Qualtrics from fall 2019 to fall 2022. 4. Interview guide for 3 focus group interviews. File format: .txt5. Interview guides for 7 individual interviews - first round (n=4) and second round (n=3). File format: .txt 6. The 21-item IL test (Tromsø Information Literacy Test = TILT), in English and Norwegian. TILT is used for assessing students' knowledge of three aspects of IL: evaluating sources, using sources, and seeking information. The test is multiple choice, with four alternative answers for each item. This test is a "KNOW-measure," intended to measure what students know about information literacy. (2 file formats: .txt, .pdf)7. Survey questions related to interest - specifically students' interest in being or becoming information literate - in 3 parts (all in English and Norwegian): a) information and questions about the 4 phases of interest; b) interest questionnaire with 26 items in 7 subscales (Tromsø Interest Questionnaire - TRIQ); c) Survey questions about IL and interest, need, and intent. (2 file formats: .txt, .pdf)8. Information about the assignment-based measures used to measure what students do in practice when evaluating and using sources. Students were evaluated with these measures in their first and sixth semesters. (2 file formats: .txt, .pdf)9. The Norwegain Centre for Research Data's (NSD) 2019 assessment of the notification form for personal data for the PhD research project. In Norwegian. (Format: .pdf)

The dataset has three parts; quantitative data, transcripts of Online FGDs and Photovoice Group Discussions, and Photovoice Photographs. Quantitative data includes the outcome variable which consists of nine measures: 1) maintaining a 1-meter distance, 2) avoiding handshakes, 3) avoiding hugs, 4) avoiding public transportation, 5) working/studying from home, 6) avoiding gatherings and crowds, 7) postponing meetings, 8) avoiding visiting elderly people, and 9) praying at home. In addition, other variables in this data set are sociodemographic characteristics; COVID-19-related variables such as COVID-19 testing, knowledge of COVID-19, etc.; and religious and tradition-related activities such as breaking fast during Ramadan, joining Mudik tradition, etc. Qualitative data includes Online FGDs and Photovoice Group Discussions transcripts and Photovoice Photographs. Five Online FGDs transcripts and 10 transcripts for Photovoice. 29 Photographs of Photovoice are also available in a list.

This paper analyses and extends alternative procedures for converting qualitative expectations responses to quantitative expectations. A number of conversion procedures is investigated, including the probability model, the time-varying parameter probability model, and the regression approach. The informational content of the survey expectations is compared with simple time series models. It is found that the expectations models are superior for many series, both in terms of producing lower forecast root mean square error (RMSE) values and in detecting turning points in the actual data. Survey expectations are also tested for rational expectations in aggregate using the orthogonality test.

Independent T-tests of key variables by exposure to healthcare barriers among the quantitative sample (N = 151).

ABSTRACT: The mode of production of scientific knowledge has become complex, leading to the use of research methodological elements that also investigate subjective issues. This study aims to analyze characteristics of PhD theses that adopted the qualitative approach, defended at a Postgraduate Program in Education (PPGE) of a University of the Northeast Region of Brazil, 2013-2016 quadrennium. The theoretical basis of the work is based on contributions from Evandro Ghedin, Marcos Zanette, Marli André and Maria Amélia Franco. To achieve the proposed objective, a quali-quantitative documentary research was developed, based on the identification and analysis of the categories: theme, method, data collection procedure and data analysis technique, synthesized by grouping data extracted from theses abstracts. It was found that, of the amount of 57 theses defended in the period considered, 87.7% (n=50) used a qualitative approach, although only 32.0% (n=16) of these explain this approach in their summary. Public policy and teacher education are the most present among themes. 42.0% (n=21) of the theses clearly indicate the research method, with emphasis on documentary research. There are multiple data collection procedures in them, especially interview and document collection. In 46.0% (n=23) of the theses, the data analysis technique is specified, mainly content analysis. However, it is considered important that researchers in the field of Education clearly inform all the methodological elements of their theses in their abstracts.

Italian Lives (ITA.LI) is a quantitative and qualitative longitudinal survey carried out by the Department of Sociology and Social Research of the University of Milan-Bicocca. The survey is aimed at building a database on social change in Italy offering high-quality data to researchers working in several disciplinary fields. The longitudinal qualitative survey was carried out in 3 waves at regular intervals between October 2019 and July 2022. In total, 306 semi-narrative interviews were carried out with young people aged between 22 and 29, resident in Italy. The work aimed to contribute to the study of the life trajectories of young women and men who face the transition to adulthood, with the aim of investigating the multiple meanings of being young in Italy today. The thematic areas investigated were: - education - relationships (family, friendship, sentimental) - parenting - work - mobility (geographical and social) - use of social media and technology - relationship with politics and religion - well-being and covid-19. The second wave, conducted from November 1, 2020 to June 30, 2021, collected 103 interviews. For information on other waves: - first wave, from October 1, 2019 to June 30, 2020, 114 interviews; - third wave, from November 1, 2021 to July 31, 2022, 89 interviews. 103 individuals. Multi-stage stratified random sample and convenience sampling face to face interview

In order to request access to this data please complete the data request form.* * University of Bristol staff should use this form instead. The ASK feasibility trial: a randomised controlled feasibility trial and process evaluation of a complex multicomponent intervention to improve AccesS to living-donor Kidney transplantation This trial was a two-arm, parallel group, pragmatic, individually-randomised, controlled, feasibility trial, comparing usual care with a multicomponent intervention to increase access to living-donor kidney transplantation. The trial was based at two UK hospitals: a transplanting hospital and a non-transplanting referral hospital. 62 participants were recruited. 60 participants consented to data sharing, and their trial data is available here. 2 participants did not consent to data sharing and their data is not available. This project contains: 1. The ASK feasibility trial dataset 2. The trial questionnaire 3. An example consent form 4. Trial information sheet This dataset is part of a series: ASK feasibility trial documents: https://doi.org/10.5523/bris.1u5ooi0iqmb5c26zwim8l7e8rm The ASK feasibility trial: CONSORT documents: https://doi.org/10.5523/bris.2iq6jzfkl6e1x2j1qgfbd2kkbb The ASK feasibility trial: Wellcome Open Research CONSORT checklist: https://doi.org/10.5523/bris.1m3uhbdfdrykh27iij5xck41le The ASK feasibility trial: qualitative data: https://doi.org/10.5523/bris.1qm9yblprxuj2qh3o0a2yylgg

The National Child Development Study (NCDS) is a continuing longitudinal study that seeks to follow the lives of all those living in Great Britain who were born in one particular week in 1958. The aim of the study is to improve understanding of the factors affecting human development over the whole lifespan.

The NCDS has its origins in the Perinatal Mortality Survey (PMS) (the original PMS study is held at the UK Data Archive under SN 2137). This study was sponsored by the National Birthday Trust Fund and designed to examine the social and obstetric factors associated with stillbirth and death in early infancy among the 17,000 children born in England, Scotland and Wales in that one week. Selected data from the PMS form NCDS sweep 0, held alongside NCDS sweeps 1-3, under SN 5565.

Survey and Biomeasures Data (GN 33004):
To date there have been nine attempts to trace all members of the birth cohort in order to monitor their physical, educational and social development. The first three sweeps were carried out by the National Children's Bureau, in 1965, when respondents were aged 7, in 1969, aged 11, and in 1974, aged 16 (these sweeps form NCDS1-3, held together with NCDS0 under SN 5565). The fourth sweep, also carried out by the National Children's Bureau, was conducted in 1981, when respondents were aged 23 (held under SN 5566). In 1985 the NCDS moved to the Social Statistics Research Unit (SSRU) - now known as the Centre for Longitudinal Studies (CLS). The fifth sweep was carried out in 1991, when respondents were aged 33 (held under SN 5567). For the sixth sweep, conducted in 1999-2000, when respondents were aged 42 (NCDS6, held under SN 5578), fieldwork was combined with the 1999-2000 wave of the 1970 Birth Cohort Study (BCS70), which was also conducted by CLS (and held under GN 33229). The seventh sweep was conducted in 2004-2005 when the respondents were aged 46 (held under SN 5579), the eighth sweep was conducted in 2008-2009 when respondents were aged 50 (held under SN 6137) and the ninth sweep was conducted in 2013 when respondents were aged 55 (held under SN 7669).

Four separate datasets covering responses to NCDS over all sweeps are available. National Child Development Deaths Dataset: Special Licence Access (SN 7717) covers deaths; National Child Development Study Response and Outcomes Dataset (SN 5560) covers all other responses and outcomes; National Child Development Study: Partnership Histories (SN 6940) includes data on live-in relationships; and National Child Development Study: Activity Histories (SN 6942) covers work and non-work activities. Users are advised to order these studies alongside the other waves of NCDS.

From 2002-2004, a Biomedical Survey was completed and is available under End User Licence (EUL) (SN 8731) and Special Licence (SL) (SN 5594). Proteomics analyses of blood samples are available under SL SN 9254.

Linked Geographical Data (GN 33497):
A number of geographical variables are available, under more restrictive access conditions, which can be linked to the NCDS EUL and SL access studies.

Linked Administrative Data (GN 33396):
A number of linked administrative datasets are available, under more restrictive access conditions, which can be linked to the NCDS EUL and SL access studies. These include a Deaths dataset (SN 7717) available under SL and the Linked Health Administrative Datasets (SN 8697) available under Secure Access.

Additional Sub-Studies (GN 33562):
In addition to the main NCDS sweeps, further studies have also been conducted on a range of subjects such as parent migration, unemployment, behavioural studies and respondent essays. The full list of NCDS studies available from the UK Data Service can be found on the NCDS series access data webpage.

How to access genetic and/or bio-medical sample data from a range of longitudinal surveys:
For information on how to access biomedical data from NCDS that are not held at the UKDS, see the CLS Genetic data and biological samples webpage.

Further information about the full NCDS series can be found on the Centre for Longitudinal Studies website.

The Social Participation and Identity project combined quantitative longitudinal data with a qualitative investigation of a sub-sample of the NCDS cohort when they were aged 50, presented here as a mixed-methods data collection containing both qualitative and quantitative data. This was the first attempt to interview members of a national, longitudinal cohort study in depth, with the possibility of linking such biographical narratives to structured survey data collected throughout the life course. Interviews were conducted with a sub-sample of 220 NCDS cohort members resident in Great Britain (England, Scotland and Wales). The interviews were organised into six main sections focussing on: 1) Neighbourhood and belonging; 2) Leisure activities and social participation; 3) Personal communities; 4) Life histories; 5) Identity; 6) Reflections on being part of the NCDS.

Further information:

• details of the qualitative NCDS project (and the rest of the NCDS series) can be found on the Centre for Longitudinal Studies website and Social Participation and Identity ESRC award webpage.
• A list of the UK Data Archive's NCDS holdings, both quantitative and qualitative, can be found on the NCDS key data page.

For the first and second editions of the study (2011 and 2012), the interview transcripts, interviewer observation summaries, gender identity diagrams and life trajectory diagrams for all participants were made available. For the third edition (July 2013), 179 essays collected from the subproject participants at the time of the NCDS2 wave (conducted 1969) were added to the study. See documentation for further details. (Users should note that an additional sample of transcribed essays from a wider set of NCDS2 participants is available from the Archive under SN 8313.)

Qualitative dataset for the study: Safety-Seeking Behaviors and Psychological Distress in Older Victims of Community-Crime: A Cross-Sectional Study Using a Novel Person-Reported MeasureThis dataset is for the qualitative component of the Person-Reported Safety-Seeking Behavior Measure (PRSBM). Older victims of community crime were asked whether they engaged in six types of behaviors since the crime: (checking, reassurance-seeking, rumination, avoidance, rituals, hypervigilance). If so, they were asked to describe their behaviors. Older victims were also asked to rate how frequently they engaged in each behavior and how much of change it was since the crime; the data for this is available in the corresponding quantitative dataset.

This dataset contains information about the development of a paper analytical device for the detection of the microcystin toxin. Water samples were collected weekly from Rostherne Mere and Tatton Park Lake, Cheshire between 20/07/2022 and 12/10/2022. Samples were analysed for the presence of microcystin-producing genes and released microcystin. A paper analytical device incorporating a protein phosphatase inhibition assay was also used to monitor microcystin levels. Preliminary user evaluation of the paper analytical devices and associated mobile photo applications is also provided. The work was supported by the Natural Environment Research Council (Grant NE/X011607/1).

Using the Rosenbaum (2002; 2009) approach to observational studies, we show how qualitative information can be incorporated into quantitative analyses to improve causal inference in three ways. First, by including qualitative information on outcomes within matched sets, we can ameliorate the consequences of the difficulty of measuring those outcomes, sometimes reducing p-values. Second, additional information across matched sets enables the construction of qualitative confidence intervals on effect size. Third, qualitative information on unmeasured confounders within matched sets reduces the conservativeness of Rosenbaum-style sensitivity analysis. This approach accommodates small to medium sample sizes in a non- parametric framework, and therefore may be particularly useful for analyses of the effects of policies or institutions in a given set of units. We illustrate these methods by examining the effect of using plurality rules in transitional presidential elections on opposition harassment in 1990s sub-Saharan Africa.

This multidisciplinary project adopted a 'whole systems' approach using methods from epidemiology, anthropology, and health systems research (Systems dynamic modelling) to understand the context, practice, and the potential for effective implementation of IPC for TB in South Africa. This project was conducted over four years (2017–2021) and had three stages: 1) observe & measure (data collection), 2) combine & design (system dynamics workshops) 3) model & cost (mathematical and economic modelling). These three phases of the project addressed seven research question. Research question 1 described the policy and systems context by looking at how South African policies on IPC for TB have evolved and been implemented. We spoke with members of civil society, and policymakers. For Research question 2, which related to the epidemiological context, we estimated how much TB transmission happens in clinics compared to other community locations. We estimated how many adults attending clinics had active TB and/or TB symptoms. We also estimated the risk of contact between people with infectious TB and other clients within clinics, and separately estimated, among community members, the frequency of social contacts in clinics as compared to other settings where people meet. Research questions 3 and 4 examined the effect of clinic design and working practices on transmission and looked to understand healthcare workers perceptions of risk and responsibility. We used structured and in-depth qualitative methods to document IPC practice in health clinics considering the role of clinic design, organisation of care, work practices, as well as health care worker, manager, and patient ideas about risk and responsibility in IPC. We spoke to patients, health workers, as well as specialists in primary care, IPC, and the built environment. The collected data enabled us to calculate the ventilation of waiting areas and consultation rooms; and we examined how people moved around clinics and where they spent time. Research question 5 involved the designing of whole-systems interventions to improve TB infection prevention and control. We used system dynamics modelling (SDM) to bring our data together and design interventions. With researchers, patient and union representatives, practitioners from clinics and hospitals, and policymakers from District, Provincial, and National Departments of Health, we developed ‘models’ (diagrams) of the system and identified targets for interventions to reduce Mtb transmission. Our collaborators prioritised interventions based on how likely they were to be effective and how easily they could be implemented. Research questions 6 and 7 involved synthesis of all these data to develop a package of health systems interventions to reduce DR-TB transmission in clinics, adapted to the constraints and opportunities of the South African health system. We used mathematical and economic modelling to project the potential impact of interrupting clinic-based transmission on community-wide TB incidence, and the consequent economic benefits for health systems and households.

Background of this study:

This dataset contains qualitative and quantitative data from a Delphi Study conducted in 2024 with an international expert panel in Aviation Maintenance. The aim of this study is to define competency standards, performance levels and assessment conditions for three transversal competencies and four corresponding observable behaviours from ICAO’s Competency Framework for Aircraft Maintenance Personnel (International Civil Aviation Organization Document 9868, 3^rd edition). Additionally, during this Delphi Study, the knowledge, skills, and attitudes, as well as the levels of responsibility and autonomy associated with each observable behaviour, were explored. This analysis aimed to determine the necessary training and assessment levels for these competencies within the European Qualification Framework.

The following Competencies and observable behaviours are involved:

· Competency 2 - Work Management: ‘Manage available resources efficiently to prioritize and perform tasks in a safe and efficient manner’ specifically focusing on OB 2.10 ‘Manages environmental stress, interruptions, distractions, variations and failures effectively’.

· Competency 8 – Teamwork: ‘Operate safely and efficiently as a team member’ specifically focusing on OB 8.1 ‘Fosters an atmosphere of open communication’, and OB 8.12 ‘Anticipates and responds appropriately to the needs of others’.

· Competency 11 – Communication: ‘Communicate effectively in all situations and ensure clear and common understanding’, specifically focusing on OB 11.4 ‘Maintains situational awareness when selecting method of communication, speaks clearly, accurately and concisely’.

The Delphi Study consisted of four rounds; one qualitative round with semi-structured interviews, and three supplemental rounds collecting both qualitative and quantitative data using surveys.

Human Research Ethics

The Human Research Ethics Committee of the TU Delft approved this study, reference nrs 3879 (surveys) and 4045 (interviews). Each Survey contained an informed consent stating that the data would be archived for long term storage at 4TU.Research Data under restricted access.

More background is provided in the README file.

Cambodia is in the midst of a construction boom. The building of office blocks, factories, condominiums, housing estates, hotels, and shopping malls is pushing its capital city upwards. But this vertical drive into the skies, and the country’s status as one of Asia’s fastest growing economies, hides a darker side to Phnom Penh’s ascent. Building projects demand bricks in large quantities, and there is a profitable domestic brick production industry supplying them. This industry relies upon a multi generational workforce of adults and children trapped in debt bondage – one of the most prevalent forms of modern slavery in the world. Tens of thousands of debt-bonded families in Cambodia extract, mould, and fire clay in hazardous conditions to meet Phnom Penh’s insatiable appetite for bricks. Our research on blood bricks reveals more than just the vertical aspirations of a business elite built on modern slavery; rather it also foregrounds stories of climate change. Phnom Penh is being built not only on the foundation of blood bricks, but also climate change as a key driver of debt and entry into modern slavery in brick kilns. Moving from the city, to the brick kiln, and finally back to the rural villages once called home, our study traces how urban ‘development’ is built on unsustainable levels of debt taken on by rural families struggling to farm in one of the most climate vulnerable countries in the world. Our original qualitative and quantitative research newly evidences connections between issues that are too often considered separate from each other in policy and planning debates.

'Climate change and slavery: the perfect storm?' - this was the prescient headline of The Guardian (2013) which called for more international conversation on the links between these urgent threats to environmental and human security. This study forwards this call by examining the inter-linkages between climate change, different axes of structural inequality (e.g. gender, age), and vulnerability to trafficking into modern slavery. The project asks who is most at the 'receiving end' of climate change, is most likely to enter into modern slavery, and who has fewer capabilities and resources than others to adapt to climate change in alternative ways? The research is based in Cambodia, the world's second most climate vulnerable country in 2014. This status derives not only from the heightened climate risks its faces in the form of floods and droughts, but also the lack of capacity to adapt and respond. Eighty percent of the population lives in rural areas with limited knowledge, infrastructure and opportunities; and more than 70 percent rely on agriculture that is heavily sensitive to climate change (UNDP 2014). In 2016, Cambodia also recorded the third highest proportion of modern slaves per capita in the world. Under these compelling set of circumstances then, the project focuses on the Cambodian construction industry as a means to examine how climate change facilitates trafficking into modern slavery and ongoing livelihoods within it. UK and Cambodian scholars will undertake challenging research that aims to combine qualitative interviews with construction industry informants and victims of modern slavery working in brick-kilns and construction sites; agro-ecological profiling, a quantitative household survey, and interviews in brick-kiln sender villages; and analysis of longitudinal secondary data (Cambodia Socio-Economic Study 2014). Findings will improve understanding of the 'deadly dance' of environmental destruction and modern slavery.

Enclosed are case study qualitative and quantitative data used to populate fuzzy cognitive maps that provide a framework for analysis of drivers and barriers to implementation of coastal risk management projects.

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 reported in this paper employed the mixed methods approach comprising a quantitative and qualitative analysis. The quantitative and econometric analysis of the dependent variable, namely, the final marks for the research report and the independent variables that explain it. The results show significance in terms of the assignments and existing knowledge marks in terms of their bachelor’s average mark. We extended the analysis to a qualitative and quantitative survey, which indicated that the mean statistical feedback was above average and therefore strongly agreed/agreed except for library use by the student. Students, therefore, need more guidance in terms of library use and the open questions showed a need for a research methods course in the future. Furthermore, supervision tends to be a significant determinant in all cases. It is also here where supervisors can use social media instruments such as WhatsApp and Facebook to inform students further. This study contributes as the first to investigate the preparation and research skills of students for master's and doctoral studies during the COVID-19 pandemic in an online environment.

[Note: Title updated 2024-04-23]Liquid chromatography-mass spectrometry (LC-MS) experiment data files for bovine milk lipid extracts, standards, and blanks, in mzML format. For use with "An Open-Source R-Based Workflow for Qualitative and Quantitative Lipidomics of Bovine Milk". Chromatography used a fast (10 minute) non-aqueous reversed-phase UHPLC separation. MS analysis was performed on a ThermoScientific QExactive Orbitrap high-resolution, accurate-mass mass spectrometer operated in electrospray ionization (ESI) mode.Resources in this dataset:Resource Title: Bovine Milk Data acquired 06/10/21 File Name: ByrdwellData_Milk_061021.zip Resource Description: Sequence of runs containing 10 Blanks, 30 Standards (6 Levels x 5 replicates), and 48 Bovine Milk extracts, as follows: 2 Cows, 3 feeding periods, 2 days (samples) per feeding period, 4 replicates for 24 samples per cow x 2 cows. 88 runs (separate data files) altogether. All files originally in proprietary .RAW format converted to .mzML. Data obtained on ThermoScientific QExactive orbitrap high-resolution, accurate-mass mass spectrometer.