This dataset is based upon the literature review published in the paper

Rienties, B., Ferguson, R., Gonda, D., Hajdin, G., Herodotou, C., Iniesto, F., Llorens-Garcia, A., Muccini, H., Sargent, J., Virkus, S., Vittoria Isidori, M. (2024). Education 4.0 in higher education and Computer Science: a systematic review. Computer Applications in Engineering Education.

Education 4.0 is a recently introduced concept focused on innovation, novelty, use of technology, and connections with employment and industry. In particular in engineering disciplines like computer science (CS) it is essential that educators keep up to date with industry developments. Indeed, how CS educators effectively design and implement innovative teaching and learning deserves more systematic attention. This study aims to catalogue and synthesise learning design approaches to teaching and learning within CS: 1) Which innovative pedagogic approaches are used in teaching of CS? 2) Which approaches align with Education 4.0? 3) What skills and competences do educators require to align CS teaching with Education 4.0? Our systematic literature review included CS papers published between 2016 and 2020. 231 studies were identified of which 66 were included in the final phase, which were coded by a multidisciplinary team. The findings indicated that many CS educators included Education 4.0 learning design elements. We found a clear distinctive three-cluster solution: 1) EDU4 light, 2) Project-based/hands-on learning, and 3) Full EDU4. These findings suggest three broad flavours when designing innovative CS practice, which might help educators to align their practice.

The dataset contains three worksheets -Main worksheet with all the used codes -Variables and their labels -Syntax for SPSS to run the dataset (if needed)

This dataset contains raw data and their corresponding results files associated with a recent study. Each MS Excel spreadsheet entails the data for one aspect of study which is specified by name of the file.The information about participants i.e. personal and demographic, responses for first SD scale, second SD scale and personal evaluation are presented in each spreadsheet. The supplemental material (participant information sheet, informed consent form, online questionnaire, risk assessment form) are also enclosed with this dataset. Lastly, for the analysis of raw data, statistical test such as; independent sample t-test was performed. The original SPSS data files are also included.

This .zip format file contains a dataset in .sav format which is suitable to be imported directly to SPSS software for analysis. Further, for those who are using different statistical packages or want to add more datasets to it, the .xlsx format of a similar dataset is available along with its data dictionaries in separate tabs of the same Excel worksheet.

This dataset was collected within the EU project SINFONICA between 15.03.2024 and 07.06.2024 (CORDIS). The survey aimed at the user factors that address the future deployment of CCAM in general on an EU-wide basis, but it also covered the specific needs of people with mobility challenges defined by the project consortium and based on the co-creation activities.

The survey was created, administred and hosted by Madlen Ringhand and Juliane Anke of the Chair of Traffic and Transportation Psychology at the TU Dresden Website.

The survey was distributed in several European countries, with the largest share of citizens being from Germany (2227), the Netherlands (620), Greece (504), the United Kingdom (520), and Italy (517).

The description of the intended contents, research questions, survey procedure, quota sampling and response rates can be found here: SINFONICA internal report - milestone 12.

There are three different data formats, including the same data:

1. SAV - IBM SPSS Statistics - full dataset with data, variable labels and value labels
2. XLSX - Microsoft Excel - including the datasets in worksheet 01, the variable labels in worksheet 02, and the value labels in worksheet 03
3. CSA - open format - three different CSV files containing the data, the variable labels and the value labels.

The Current Population Survey Civic Engagement and Volunteering (CEV) Supplement is the most robust longitudinal survey about volunteerism and other forms of civic engagement in the United States. Produced by AmeriCorps in partnership with the U.S. Census Bureau, the CEV takes the pulse of our nation’s civic health every two years. The data on this page was collected in September 2023. The next wave of the CEV will be administered in September 2025. The CEV can generate reliable estimates at the national level, within states and the District of Columbia, and in the largest twelve Metropolitan Statistical Areas to support evidence-based decision making and efforts to understand how people make a difference in communities across the country. Click on "Export" to download and review an excerpt from the 2023 CEV Analytic Codebook that shows the variables available in the analytic CEV datasets produced by AmeriCorps. Click on "Show More" to download and review the following 2023 CEV data and resources provided as attachments: 1) 2023 CEV Dataset Fact Sheet – brief summary of technical aspects of the 2023 CEV dataset. 2) CEV FAQs – answers to frequently asked technical questions about the CEV 3) Constructs and measures in the CEV 4) 2023 CEV Analytic Data and Setup Files – analytic dataset in Stata (.dta), R (.rdata), SPSS (.sav), and Excel (.csv) formats, codebook for analytic dataset, and Stata code (.do) to convert raw dataset to analytic formatting produced by AmeriCorps. These files were updated on January 16, 2025 to correct erroneous missing values for the ssupwgt variable. 5) 2023 CEV Technical Documentation – codebook for raw dataset and full supplement documentation produced by U.S. Census Bureau 6) 2023 CEV Raw Data and Read In Files – raw dataset in Stata (.dta) format, Stata code (.do) and dictionary file (.dct) to read ASCII dataset (.dat) into Stata using layout files (.lis)

Ethics Reference Number: 217302572This study was part of a broader Water Research Commission (WRC) Project No. K4/2716/4, entitled ‘Improving smallholder farmer livelihoods through developing strategies to cope and adapt during drought periods in South Africa.’ The datasets, therefore, need to be under embargo for 24 months because publications still need to be written using this data. The transcript files have been combined into pdf files to avoid uploading numerous word files. DATASET 1aa and 1ab. Data in this set was collected to assess: a) the livelihoods assets for smallholder farmers in the Overberg and West Coast districts. b) challenges experienced by smallholder farmers in the two districts to achieve their livelihoods outcomes. c) coping and adaptation strategies utilized by smallholder farmers in the two districts during the 2015-18 drought. d) challenges for coping and adaptation strategies by smallholder farmers in the two districts. Fifty-two farmers in the Overberg and 60 in the West Coast districts were interviewed face-to?face and their responses were recorded. Each farmer's audio recordings were transcribed, each transcript was renamed using numbers to protect their names. All the individual farmer transcripts are attached to this dataset according to each district. The qualitative data included in this dataset was uploaded and analysed on Atlas ti. Software. DATASET 1b: This is an excel spreadsheet imported from SPSS. It contains data collected to assess: a) the livelihoods assets for smallholder farmers in the Overberg and West Coast districts. b) challenges experienced by smallholder farmers in the two districts to achieve their livelihoods outcomes. DATASET 1c: Graphs for livelihoods excel spreadsheet This is an excel sheet with graphs generated for various livelihoods assets: •Human: (training provision, age categories, education levels, family sizes, hiring or labour, farming experiences) •Physical: (Modes of transport, sources of energy) •Financial: (Income sources) •Social: (Group membership) •Natural: (Land ownership, sources of water) Surveys were conducted with 52 farmers in the Overberg and 60 in the West Coast districts, in which they were assisted to complete a semi-structured questionnaire. Their responses were recorded accordingly, and the questionnaires were re-named using numbers. All the data was captured on SPSS and imported to an excel sheet to generate graphs using the above asset variables. DATASET 2: This dataset includes the responses of farmers to obtain group views and validate individual farmer opinions on the following aspects: a) challenges experienced in pursuit of livelihoods outcomes. b) smallholder farmers’ coping and adaptation strategies during the 2015-18 drought. c) challenges for coping and adapting to the 2015-18 drought. DATASET 3: Data in this set was collected to assess: a) the goals and objectives of organisations in assisting smallholder farmers in their livelihoods and drought adaptation strategies in the two districts. b) challenges experienced by organisations and farmers in implementing the commodity approach in the two districts. c) challenges experienced among organisations in implementing the commodity approach in the two districts. Note: The evaluation drought relief scheme was a continuous process because it was commenced when farmers were asked to identify the organisations that supported them during the drought until the last stage, in which extension officers and other drought implementation personnel were interviewed.

Abstract copyright UK Data Service and data collection copyright owner. The Census 2011 Microdata Teaching File for England and Wales data collection forms part of the statistical outputs from the 2011 UK Census. The Teaching File is an open access dataset constructed from the safeguarded microdata sample of individuals (see SNs 7605 and 7682, and below for background information). Converted by the UK Data Service Census Support Service, it is an SPSS/Stata version of the spreadsheet Microdata Teaching File for England and Wales produced by the Office for National Statistics (ONS), drawn from data collected in the 2011 Census. The file was produced by ONS with a variables list and a user guide – all of which are considered the essential and definitive companions to the data. The original spreadsheet format Microdata Teaching File is an open government file is available from the ONS Census 2011 Microdata Teaching File webpage. More information about the teaching file and Census 2011, including forms and links to other Census data, are available both on the ONS site or via the UK Data Service Census Support webpages. Background to Census 2011 microdata products The safeguarded sample was identified as a key Census user requirement, highlighted as part of a report specifying microdata products from the 2011 Census written by an expert user, Dr. Jo Wathan from the University of Manchester. The purpose of a safeguarded sample of individuals is to be able to disseminate a detailed microdata file without onerous licensing conditions, by reducing the overall amount of detail compared to the secure samples. Whilst supplying sufficient detail on core variables to fulfil the intended aim of the microdata products, the safeguarded sample is a valuable multi-purpose research file that will be used on a wide range of projects. (For Censuses prior to 2011, these data may have been referred to as 'Samples of Anonymised Records', or SARSs.) In total, five microdata samples are proposed from the 2011 Census:one public, a Teaching File of individuals (this study, SN 7613);two safeguarded, one file of individuals at regional level (see SN 7605) and one at local authority level (see SN 7682);and two secure, one file of households and one of individuals.

A systematic review was carried out to present summarized data on somatic cell count (SCC) in water buffalo milk at quarter, animal, and herd levels. As no standard threshold has been established for buffalo milk, a dataset was compiled using data from published studies in an Excel spreadsheet and four SPSS command files. The Excel spreadsheet encompasses data collected from eligible articles obtained through a systematic search in four databases, including PubMed, SCOPUS, Embase, and Web of Science. The dataset contains four SPSS command files tailored for the analysis of somatic cell count data. The four SPSS command files followed the data analysis of quarter milk somatic cell count, composite milk somatic cell count, bulk milk somatic cell count, and article quality assessment, respectively. These resources aim to ensure transparency and reproducibility and encourage further systematic review to address similar research questions in dairy science and animal health.

Abstract copyright UK Data Service and data collection copyright owner. The Census 2011 Microdata Teaching File for Northern Ireland data collection forms part of the statistical outputs from the 2011 UK Census. The Teaching File is an open access dataset constructed from the safeguarded microdata sample of individuals (see SNs 7769 and 7770 for background information). Converted by the UK Data Service Census Support Service, it is an SPSS/Stata version of the spreadsheet Microdata Teaching File for Northern Ireland produced by Northern Ireland Statistics and Research Agency (NISRA), drawn from data collected in the 2011 Census. The file was produced by NISRA with a variables list and a user guide – all of which are considered the essential and definitive companions to the data. The original spreadsheet format Microdata Teaching File is an open government file and is available from the NISRA 2011 Census Microdata Teaching File webpage. More information about the teaching file and Census 2011, including forms and links to other Census data, are available both on the NISRA site or via the UK Data Service Census Support webpages. Main Topics: Topics covered include: age, economic activity, ethnicity, health, industry, marital status, occupation, religion, whether UK born. One-stage stratified or systematic random sample Compilation or synthesis of existing material This teaching dataset has been created from the Census 2011 Northern Ireland database, which was collected by postal survey and web-based survey.

Abstract copyright UK Data Service and data collection copyright owner. The Census 2011 Microdata Teaching File for Scotland data collection forms part of the statistical outputs from the 2011 UK Census. The Teaching File is an open access dataset constructed from the safeguarded microdata sample of individuals (see SNs 7834 and 7835 for background information). Converted by the UK Data Service Census Support Service, it is an SPSS/Stata version of the spreadsheet Microdata Teaching File for Scotland produced by National Records of Scotland (NRS), drawn from data collected in the 2011 Census. The file was produced by NRS with a variables list and a user guide – all of which are considered the essential and definitive companions to the data. The original spreadsheet format Microdata Teaching File is an open government file is available from the NRS Census 2011 Microdata Teaching File webpage. More information about the teaching file and Census 2011, including forms and links to other Census data, are available both on the NRS site or via the UK Data Service Census Support webpages. Main Topics: Topics covered include: age, economic activity, ethnicity, health, industry, marital status, occupation, religion, whether UK born. One-stage stratified or systematic random sample 1% sample of people in the 2011 Census output database for Scotland. Compilation or synthesis of existing material This teaching dataset has been created from the Census 2011 Scotland database, which was collected by postal survey and web-based survey.

This data is taken from a survey of 1025 young Londoners aged from 11 to 16 years old, undertaken in Spring 2009 by ICM research on behalf of the GLA. The questions explore areas of Mayoral policy and priority including safety, the environment, transport, the Olympics and community involvement. The data is available by demographic group, including gender, age, ethnicity and parental social class. A full report was published by the GLA in September 2009 which includes detailed analysis of the results and is available on the GLA's website. The response data is available as a CSV file containing 372 variables with an accompanying file defining each variable. The same data is also available in SPSS format for users of that software. The data is also available in an Excel spreadsheet with tabs relating to each of the categories in the main report. This gets around the Excel limit of 255 columns in a single worksheet.

BackgroundMental health disorders among adolescents is on the rise globally. Patients seldom present to mental health physicians, for fear of stigmatization, and due to the dearth of mental health physicians. They are mostly picked during consultations with Family Physicians. This study seeks to identify the common mental health disorders seen by family Physicians in Family Medicine Clinics in Nigeria and Ghana.MethodsA descriptive cross-sectional study involving 302 Physicians practicing in Family Medicine Clinics in Nigeria and Ghana, who were randomly selected for the study. Data were collected using self-administered semi-structured questionnaire, and were entered into excel spreadsheet before analysing with IBM-SPSS version 22. Descriptive statistics using frequencies and percentages was used to describe variables.ResultsOf the 302 Physicians recruited for the study, only 233 completed the study, in which 168 (72.1%) practiced in Nigeria and 65 (27.9%) in Ghana. They were mostly in urban communities (77.3%) and tertiary health facilities (65.2%). Over 90% of Family Medicine practitioners attended to adolescents with mental health issues with over 70% of them seeing at least 2 adolescents with mental health issues every year. The burden of mental health disorder was 16% and the common mental health disorders seen were depression (59.2%), Bipolar Affective Disorder (55.8%), Epilepsy (51.9%) and Substance Abuse Disorder (44.2%).ConclusionFamily Physicians in Nigeria and Ghana attend to a good number of adolescents with mental health disorders in their clinics. There is the need for Family Physicians to have specialized training and retraining to be able to recognize and treat adolescent mental health disorders. This will help to reduce stigmatization and improve the management of the disease thus, reducing the burden.

Materials and Methods The study was held in the Oral and Maxillofacial Surgery department and Kasturba Hospital, Manipal, from November 2019 to October 2021 after approval from the Institutional Ethics Committee (IEC: 924/2019). The study included patients between 18-70 years. Patients with associated diseases like cysts or tumors of the jaw bones, pregnant women, and those with underlying psychological issues were excluded from the study. The patients were assessed 8-12 weeks after surgical intervention. A data schedule was prepared to document age, sex, and fracture type. The study consisted of 182 subjects divided into two groups of 91 each (Group A: Mild to moderate facial injury and Group B: Severe facial injury) based on the severity of maxillofacial fractures and facial injury. Informed consent was obtained from each of the study participants. We followed Facial Injury Severity Scale (FISS) to determine the severity of facial fractures and injuries. The face is divided horizontally into the mandibular, mid-facial, and upper facial thirds. Fractures in these thirds are given points based on their type (Table 1). Injuries with a total score above 4.4 were considered severe facial injuries (Group A), and those with a total score below 4.4 were considered mild/ moderate facial injuries (Group B). The QOL was compared between the two groups. Meticulous management of hard and soft tissue injuries in our state-of-the-art tertiary care hospital was implemented. All elective cases were surgically treated at least 72 hours after the initial trauma. The facial fractures were adequately reduced and fixed with high–end Titanium miniplates and screws (AO Principles of Fracture Management). Soft tissue injuries were managed by wound debridement, removal of foreign bodies, and layered wound closure. Adequate pain-relieving medication was prescribed to the patients postoperatively for effective pain control. The QOL of the subjects was assessed using the 'Twenty-point Quality of life assessment in facial trauma patients in Indian population' assessment tool. This tool contains 20 questions and uses a five-point Likert response scale. The Twenty – point quality of life assessment tool included two zones: Zone 1 (Psychosocial impact) and Zone 2 (Functional and esthetic impact), with ten questions (domains) each (Table 2). The scores for each question ranged from 1- 5, the higher score denoting better Quality of life. Accordingly, the score in each zone for a patient ranged from 10 -50, and the total scores of both zones were recorded to determine the QOL. The sum of both zones determined the prognosis following surgery (Table 2). The data collected was entered into a Microsoft Excel spreadsheet and analyzed using IBM SPSS Statistics, Version 22(Armonk, NY: IBM Corp). Descriptive data were presented in the form of frequency and percentage for categorical variables and in the form of mean, median, standard deviation, and quartiles for continuous variables. Since the data were not following normal distribution, a non-parametric test was used. QOL scores were compared between the study groups using the Mann-Whitney U test. P value < 0.05 was considered statistically significant.

IntroductionSense of coherence is a key concept in psychological science that contributes to mental health by helping people cope with various stressors in their daily lives. A literature review demonstrated the unavailability of a tool for measuring sense of coherence in Bangladesh. This study aimed to translate the 13-item Sense of Coherence scale (SOC-13) into the Bangla language and to examine its validity, dimensionality, and reliability.MethodAfter translating the SOC-13, a cross-sectional online survey was conducted with 510 undergraduate students at a university in Bangladesh from July to October 2021. Construct validity was assessed through confirmatory factor analysis to analyze the structural validity of the Bangla SOC-13 scale, and by examining correlations with related constructs (self-esteem, well-being, and psychological distress). The alpha coefficient was calculated to examine internal consistency. Data were analyzed using SPSS version 22 and R statistical software.ResultsA total of 320 respondents provided valid responses (response rate: 62.7%). The structural validity of the SOC-13, as examined through confirmatory factor analysis, was consistent across studies (a three-factor structure with an acceptable fit), and convergent validity was evidenced through a statistically significant positive relationships between sense of coherence and both self-esteem and well-being, as well as criterion validity was supported by a significant negative relationship with psychological distress. The internal consistency of the total scores by the coefficient alpha was good (α =  0.74), whereas the alphas of each subscale showed mediocre to fair reliability.ConclusionThe Bangla version of the SOC-13 showed good construct validity, acceptable criterion validity, and good reliability based on overall internal consistency. Thus, it can be used to assess sense of coherence in young adults, although there is scope for further examination.