Description: These are research indicators of doctorate holders in Europe that were compiled from the criteria and factors of the Eurostat. This dataset consists of data in five categories (i.e. Career Development of Doctorate Holders; Labour Market - Job Vacancy Statistics; Skill-related Statistics; European and International Co-patenting in EPO Applications and Ownership of Inventors in EPO Applications). The Eurostat Research Indicators consist of (1) Doctorate holders who have studied, worked or carried out research in another EU country (%); (2) Doctorate holders by activity status (%); (3) Doctorate holders by sex and age group; (4) Employed doctorate holders working as researchers by length of stay with the same employer (%); (5) Employed doctorate holders working as researchers by job mobility and sectors of performance over the last 10 years (%); (6) Employed doctorate holders by length of stay with the same employer and sectors of performance (%); (7) Employed doctorate holders by occupation (ISCO_88, %); (8) Employed doctorate holders by occupation (ISCO_08, %); (9) Employed doctorate holders in non-managerial and non-professional occupations by fields of science (%); (10) Level of dissatisfaction of employed doctorate holders by reason and sex (%); (11) National doctorate holders having lived or stayed abroad in the past 10 years by previous region of stay (%); (12) National doctorate holders having lived or stayed abroad in the past 10 years by reason for returning into the country (%); (13) Non-EU doctorate holders in total doctorate holders (%); (14) Unemployment rate of doctorate holders by fields of science; (15) Employment in Foreign Affiliates of Domestic Enterprises; (16) Employment in Foreign Controlled Enterprises; (17) Employment rate of non-EU nationals, age group 20-64; (18) Intra-mural Business Enterprise R&D Expenditures in Foreign Controlled Enterprises; (19) Job vacancy rate by NACE Rev. 2 activity - annual data (from 2001 onwards); (20) Job vacancy statistics by NACE Rev. 2 activity, occupation and NUTS 2 regions - quarterly data; (21) Job vacancy statistics by NACE Rev. 2 activity - quarterly data (from 2001 onwards); (22) Value Added in Foreign Controlled Enterprises; (23) Graduates at doctoral level by sex and age groups - per 1000 of population aged 25-34; (24) Graduates at doctoral level, in science, math., computing, engineering, manufacturing, construction, by sex - per 1000 of population aged 25-34; (25) Level of the best-known foreign language (self-reported) by degree of urbanisation; (26) Level of the best-known foreign language (self-reported) by educational attainment level; (27) Level of the best-known foreign language (self-reported) by labour status; (28) Level of the best-known foreign language (self-reported) by occupation; (29) Number of foreign languages known (self-reported) by educational attainment level; (30) Number of foreign languages known (self-reported) by degree of urbanisation; (31) Number of foreign languages known (self-reported) by labour status; (32) Number of foreign languages known (self-reported) by occupation; (33) Population by educational attainment level, sex, age and country of birth (%); (34) Co-patenting at the EPO according to applicants’/inventors’ country of residence - % in the total of each EU Member State patents; (35) Co-patenting at the EPO: crossing inventors and applicants; (36) Co-patenting at the EPO according to applicants’/inventors’ country of residence - number; (37) EU co-patenting at the EPO according to applicants’/ inventors’ country of residence by international patent classification (IPC) sections - number; (38) EU co-patenting at the EPO according to applicants’/inventors’ country of residence by international patent classification (IPC) sections - % in the total of all EU patents; (39) Domestic ownership of foreign inventions in patent applications to the EPO by priority year; (40) Foreign ownership of domestic inventions in patent applications to the EPO by priority year; and (41) Patent applications to the EPO with foreign co-inventors, by priority year.

The Survey of Earned Doctorates (SED) is an annual census conducted since 1957 of all individuals receiving a research doctorate from an accredited U.S. institution in a given academic year. The SED is sponsored by the National Center for Science and Engineering Statistics (NCSES) within the National Science Foundation (NSF) and by three other federal agencies: the National Institutes of Health, Department of Education, and National Endowment for the Humanities. The SED collects information on the doctoral recipient's educational history, demographic characteristics, and postgraduation plans. Results are used to assess characteristics of the doctoral population and trends in doctoral education and degrees. This dataset includes SED assets for 2022.

Jordan Number of Enrolled PHD Students data was reported at 3,362.000 Person in 2017. This records an increase from the previous number of 3,276.000 Person for 2016. Jordan Number of Enrolled PHD Students data is updated yearly, averaging 1,892.000 Person from Jun 2002 (Median) to 2017, with 15 observations. The data reached an all-time high of 3,362.000 Person in 2017 and a record low of 682.000 Person in 2002. Jordan Number of Enrolled PHD Students data remains active status in CEIC and is reported by Ministry of Higher Education and Scientific Research. The data is categorized under Global Database’s Jordan – Table JO.G007: Education Statistics.

The percentage of population (age 25 and over) with a completed doctoral or equivalent degree (ISCED 8). This indicator is calculated by dividing the number of persons aged 25 years and above with a completed doctoral or equivalent degree by the total population of the same age group and multiplying the result by 100. The UNESCO Institute for Statistics (UIS) educational attainment dataset shows the educational composition of the population aged 25 years and above and hence the stock and quality of human capital within a country. The dataset also reflects the structure and performance of the education system and its accumulated impact on human capital formation.

Overview of educational characteristics of Indigenous populations in Canada, provinces, territories and cities, with percent distribution of highest certificate, diploma or degree.

The Hispanic Community Health Study / Study of Latinos (HCHS/SOL) is a multi-center epidemiologic study in Hispanic/Latino populations to determine the role of acculturation in the prevalence and development of disease, and to identify risk factors playing a protective or harmful role in Hispanics/Latinos.

Dataset supporting the University of Southampton Doctoral Thesis: 'The ecological effects of physical habitat restoration in English chalk streams' by Lewis Adam Dolman. This dataset contains data (excel files) for: CHAPTER 5 - 'Quantifying the environmental impacts of low-head weirs and their removal in low power chalk streams'. This includes physical habitat and ecological monitoring data collected at a case study weir removal on the River Test (Hampshire, UK) and data collated from the Environment Agency's 'Fish and Ecology Data Explorer'. CHAPTER 6 - 'Chalk stream restoration - physical and ecological responses to gravel augmentation'. This includes physical habitat and ecological monitoring data collected at two case study gravel augmentation restoration sites on the River Test and Itchen (Hampshire, UK). CHAPTER 7 - 'Restoration over time - the physical and ecological responses to restoration in an English chalk stream'. This includes physical habitat and ecological monitoring data collected at two case study instream physical habitat restoration sites on the River Test (Hampshire, UK). Additionally, control macroinvertebrate datasets collated from the Environment Agency 'Fish and Ecology Data Explorer' and 'SmartRivers' dataset. CHAPTER 8 - 'Non-invasive population estimates of freshwater fishes using remote underwater video'. This includes data from an experiment aiming to understand whether it is possible to identify individual fish from unique identifiable features (e.g. spots, stripes) and morphometrics (i.e. body measurements) from photographs and underwater video. This is followed by an experiment exploring the accuracy of non-invasive population estimates created using mark-recapture estimates from underwater video and unique identifiable features. For further details on this dataset, see the 'README' file. This PhD was funded by the Engineering and Physical Sciences Research Council (EP/L01582X/1) and Environment Agency. Data Licence: CC BY

Food policy research plays a crucial role in guiding the agricultural development of countries. To achieve food security goals, countries need to strengthen their capacity to conduct food policy research. Strong local policy research institutions help in shaping an evidence-based policy-making process. Measuring national capacity for food policy research is important for identifying capacity gaps in food policy research and guiding allocation of resources to fill those gaps. Food policy research capacity is defined as any socioeconomic or policy-related research capacity in the area of food, agriculture, or natural resources. To measure this capacity, the International Food Policy Research Institute (IFPRI) developed a set of indicators of the quantity and quality of policy research at the country level. IFPRI created a database for food policy research capacity in 2010, and has continued to expand and refine it. The data presented are currently collected for 33 countries; data for Myanmar were added in 2017. A consistent methodology is followed to enable comparison of values across time and countries. The database was most recently updated with numbers for 2017. “Analysts/researchers” is a head count of professionals employed at local organizations whose work involves food policy research or analysis. To introduce some uniformity, IFPRI also presents a modified quantification of the head count: "full-time equivalent analysts/researchers with PhD equivalent." To obtain an indicator of per capita food policy research capacity, this research capacity is then divided by the country’s rural population ("full-time equivalent researchers per million rural residents"). This helps to illustrate the impact of local food policy research in a country. This indicator was last updated in 2015. The quality of a country’s food policy research capacity is estimated by tallying the number of relevant international publications in peer-reviewed journals over a five-year period. IFPRI views this as a reflection of the local enabling environment for food policy research. This indicator allows for comparison across countries, as it ensures an internationally accepted standard of quality for publications. The final indicator ("publications per full-time equivalent researcher") is derived by dividing the number of international publications by the number of full-time equivalent researchers with a PhD, providing a measure of productivity.

Title Recommendations on the organisation of interprofessional health professions education involving experts by experience. Abstract The increasing prevalence of chronic disease leads to an increased need for person-centred care. To prepare future health professionals for this need, educational institutions provide interprofessional education in which they actively involve patients (hereafter called experts by experience). The organisation of inter-institutional, interprofessional education with the active involvement of experts by experience poses challenges. A joint student- and expert-by-experience-led organisation, Patient as a Person Foundation, was established to overcome these challenges. This organisation functions as the linking pin between three educational institutions. Jointly, they enabled the involvement of 181 experts by experience in interprofessional education and 1313 students from nine study programs over the course of two curriculum years. To facilitate joint education involving patients, Patient as a Person Foundation realises three main activities: (a) recruitment and instruction of experts by experience, (b) enabling the inter-institutional organisation of education and facilitating its logistics and financing, and (c) universal training of teaching staff. This interprofessional Education and Practice Guide aims to provide lessons on sustainably organising interprofessional education involving experts by experience across multiple educational institutions. The key lessons provided in this guide, underpinned by research and key literature, aim to inspire and enable similar initiatives elsewhere. Data index In this guide, we used a quantitative evaluation of the PAP-module to create Appendix I. The original dataset (SPSS) can be found in the file.

Following Diemer et al. (2022) we have calculated the regional development trap, DT1 and DT2, for provinces of Turkey. We also calculated two economic complexity metrics, ECI and EFI. For ECI, we used Hidalgo and Hausmann's (2009) and Hausmann et al.'s (2014) methodology. For EFI, we followed Tacchella et al. (2012), Servedio et al. (2018), and Operti et al. (2018).

Description of variables in the dataset

countrycode: NUTS-3 code country: Name of provinces popdens: Population densit (person / sq. kilometers) DT1: Regional Development Trap Measure 1 DT2: Regional Development Trap Measure 2 fit: Economic Fitness Index (EFI) eci: Economic Complexity Index (ECI) pop: Total population pop1564: Working age population elksanpc: Electric consumption per capita egitim1: High school, faculty, master's, and PhD graduates to the working age population. openness: trade opennes

This aggregate-level dataset links poor relief data recorded on 1 January 1891 with several variables from corresponding 1891 census data, all at the level of the registration district (RD). Specifically, the numbers of men and women receiving indoor and outdoor relief in the ‘non-able-bodied’ category (taken as a proxy of the numbers of older-age men and women on relief) are accompanied with a series of socio-economic variables calculated from census data on the population aged 60 years and over (our definition of ‘old age’).

Thus, the dataset fulfils two objectives:

1. To start reconciling poor relief data from the House of Commons Parliamentary Papers archive with transcribed Integrated Census Microdata (I-CeM) available at the UK Data Service (UKDS).

2. To capture geographical variations in the proportion of older-age men and women on poor relief as well as in several household, occupational and migratory compositions recorded in the census, consulting data from 1891 as a pilot study in anticipation of an extended project covering all censuses from 1851-1911.

   The study of old age in history has generally had a narrow focus on welfare needs. Specific studies of the extreme poverty, or pauperism, of older people in late nineteenth-century London by Victorian contemporary Charles Booth (1840-1916) have remained remarkably influential for historical research on old age (Booth, 1894; Boyer and Schmidle, 2009). Old age is also examined through institutional care, particularly workhouse accommodation (Lievers, 2009; Ritch, 2014), while the subgroup of the elderly population that were not poor has been underexplored. However, my PhD thesis shows that pauperism was not a universal experience of old age between 1851 and 1911. Using transcribed census data for five selected counties in England and Wales, I find that pauperism was contingent upon many socio-economic factors recorded in census datasets, such as the occupational structure of older people, their living arrangements and their capacity to voluntarily retire from work based on their savings, land and capital. I find that, in some districts of the northern counties of Cheshire and the Yorkshire West Riding, the proportion of men described in the census as 'retired' and the proportion of women 'living on their own means' was greater than the respective proportions of men and women on welfare. For elderly men in particular, there were regional differences in agrarian work, where those in northern England are more likely to run smallholding 'family farms' whereas, in southern England, elderly men generally participate as agricultural labourers. I find that these differences play an important part in the likelihood of becoming pauperised, and adds to the idea of a north-south divide in old age pauperism (King, 2000). Furthermore, pauperism was predicated on the events and circumstances of people throughout their life histories and approaching their old age.

My fellowship will enable me to expand upon these findings through limited additional research that stresses an examination of the experiences of all older people in England and Wales. Old age has to be assessed more widely in relation to regional and geographical characteristics. In this way, we refine Booth's London-centric focus on the relationship between poverty and old age. My fellowship will achieve these objectives by systematically tracing the diversity of old age experiences. A pilot study will link welfare data recorded on 1 January 1891 from the House of Commons Parliamentary Papers archive with the socio-economic indicators contained in the 1891 census conducted on 5 April, all incorporated at the level of c. 650 registration districts in England and Wales. I will also visit record offices to extract data on the names of older people recorded as receiving welfare in materials related to the New Poor Law, thereby expanding on the PhD's examination of the life histories of older people.

With the key findings from my PhD presented above, I will spend my time addressing a wider audience on my research. As I will argue in blogs and webinars addressed to Age UK, the International Longevity Centre UK and History and Policy, a monolithic narrative of old age as associated with welfare dependency and gradual decline has been constructed since Booth's research in the late nineteenth century. This narrative has remained fixed through the growth of our ageing population, and the development of both old age pensions and the modern welfare state. My research alternatively uses historical censuses that reveal the economic productivity of older people in a manner that is not satisfactorily captured in present day discourse. I will also receive training on how to address my PhD to local schools, through the presentation of maps that present variations in the proportions of older people receiving welfare, and in the application of transcribed census data.

Neighborhood; Life expectancy; Cancer deaths per 100,000 people; Heart disease deaths per 100,000 people; Alzheimer’s disease deaths per 100,000 people; Stroke deaths per 100,000 people; Chronic lower respiratory disease deaths per 100,000 people; Unintentional injury deaths per 100,000 people; Diabetes deaths per 100,000 people; Influenza and pneumonia deaths per 100,000 people; Hypertension deaths per 100,000 people. Percentages unless otherwise noted. Source information provided at: https://www.sccgov.org/sites/phd/hi/hd/Documents/City%20Profiles/Methodology/Neighborhood%20profile%20methodology_082914%20final%20for%20web.pdf

Since the Industrial Revolution, humans have affected and destroyed river ecosystems with our activities. The knowledge of the characteristics of non-disturbed rivers is important to assess the biological quality and impacts caused by human activities in rivers.This project aims to assess the ecosystem quality of the Erro River, a well conserved Pyrenean river. The Erro river ecological quality (physicochemical parametres, macroinvertebrate biotic index and fish community) was studied since 2001 to 2003 and in 2005. Ocurrence data of fish was collected to determine the fish community of the river (Leunda, 2011).

Dataset population: Usual residents aged 16 and over

Age

Age is derived from the date of birth question and is a person's age at their last birthday, at 27 March 2011. Dates of birth that imply an age over 115 are treated as invalid and the person's age is imputed. Infants less than one year old are classified as 0 years of age.

Ethnic group

Ethnic group classifies people according to their own perceived ethnic group and cultural background.

This topic contains ethnic group write-in responses without reference to the five broad ethnic group categories, e.g. all Irish people, irrespective of whether they are White, Mixed/multiple ethnic groups, Asian/Asian British, Black/African/Caribbean/Black British or Other ethnic group, are in the Irish response category. This topic was created as part of the commissioned table processing.

Highest level of qualification

The highest level of qualification is derived from the question asking people to indicate all types of qualifications held. People were also asked if they held foreign qualifications and to indicate the closest equivalent.

There were 12 response options (plus 'no qualifications') covering professional and vocational qualifications, and a range of academic qualifications.

These are combined into five categories for the highest level of qualification, plus a category for no qualifications and one for other qualifications (which includes vocational or work-related qualifications, and for foreign qualifications where an equivalent qualification was not indicated):

• No Qualifications: No academic or professional qualifications
• Level 1 qualifications: 1-4 O Levels/CSE/GCSEs (any grades), Entry Level, Foundation Diploma, NVQ level 1, Foundation GNVQ, Basic/Essential Skills
• Level 2 qualifications: 5+ O Level (Passes)/CSEs (Grade 1)/GCSEs (Grades A*-C), School Certificate, 1 A Level/ 2-3 AS Levels/VCEs, Intermediate/Higher Diploma, Welsh Baccalaureate Intermediate Diploma, NVQ level 2, Intermediate GNVQ, City and Guilds Craft, BTEC First/General Diploma, RSA Diploma
• Apprenticeships
• Level 3 qualifications: 2+ A Levels/VCEs, 4+ AS Levels, Higher School Certificate, Progression/Advanced Diploma, Welsh Baccalaureate Advanced Diploma, NVQ Level 3; Advanced GNVQ, City and Guilds Advanced Craft, ONC, OND, BTEC National, RSA Advanced Diploma
• Level 4+ qualifications: Degree (for example BA, BSc), Higher Degree (for example MA, PhD, PGCE), NVQ Level 4-5, HNC, HND, RSA Higher Diploma, BTEC Higher level, Foundation degree (NI), Professional qualifications (for example teaching, nursing, accountancy)
• Other qualifications: Vocational/Work-related Qualifications, Foreign Qualifications (Not stated/Level unknown)

The presence, condition and structure of fish communities are an essential part in fluvial ecosystems because they affect invertebrate communities, plants and other vertebrates. The knowledge of the factors affecting fish populations is necessary for the good management of the rivers. In this study, cyprinid and salmonid species are studied on the Urederra and the Erro rivers to determine their health and conservation status (García-Fresca, 2003).

The study of the populations of each species provided data about their size distribution, age, absolute and relative fecundity, gonadosomatic index and habitat. The estimation of the abundances, densities and distributions of fish depended on the date of the sampling, the characteristics of the sampled portion and behavior of the species.

description: Quarterly report on a study of muskrat population dynamics and vegetation utilization, being led by Utah State University for a doctorate dissertation. The study objectives are as follows: (1) Estimate population parameters for the muskrats in the study area (i.e. size, fecundity, and age and sex structure), (2) Determine and evaluate the degree of utilization of the marsh vegetation by a known population of muskrats, and (3) Provide a management plan for muskrats and marsh habitat based on population and utilization parameters. This progress report summarizes trapping success, enclosures, microscope slide preparation, and preliminary data analysis for April-June, 1979. Plans for the next quarter are included.; abstract: Quarterly report on a study of muskrat population dynamics and vegetation utilization, being led by Utah State University for a doctorate dissertation. The study objectives are as follows: (1) Estimate population parameters for the muskrats in the study area (i.e. size, fecundity, and age and sex structure), (2) Determine and evaluate the degree of utilization of the marsh vegetation by a known population of muskrats, and (3) Provide a management plan for muskrats and marsh habitat based on population and utilization parameters. This progress report summarizes trapping success, enclosures, microscope slide preparation, and preliminary data analysis for April-June, 1979. Plans for the next quarter are included.

This dataset includes the de-identifed data and code book generated during the analysis of interviews for the article titled: "It is human work": qualitatively exploring community roles that facilitate cultural food security for people from refugee backgrounds.

This dataset was produced by PhD student Tina Gingell for the thesis titled "Exploring Food Security Among People with Lived Refugee Experiences using a Co-Design Approach" and the project "" (for details of team members working on this project see Related information below).