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    <title>Researchdata.se</title>
    <description>Search results</description>
    <language>en</language>
    <item>
      <title>The Class SOM Survey 2008</title>
      <description>The Class SOM questionnaire consisted of typical SOM questions about politics, society, media and leisure habits but also a large set of work-related questions. The study was carried out alongside National SOM 2008.

Purpose:
The purpose of the survey is to explore working life and job conditions in Sweden.</description>
      <pubDate>Wed, 13 Apr 2016 00:00:00 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/snd0896-1</link>
      <guid>https://researchdata.se/en/catalogue/dataset/snd0896-1</guid>
      <dc:publisher>University of Gothenburg</dc:publisher>
    </item>
    <item>
      <title>Swedish level of living survey (LNU): Register information on occupation, social class and education</title>
      <description>The first level of living survey started within the framework of a governmental commission set up to study the prevalence and problems of low incomes. Their task was broadly defined, so beside a range of studies on income and income distributions they also commissioned a group of sociologists, headed by Sten Johansson, to study the distribution of welfare in Sweden more generally. The study by Johansson and his colleagues, undertaken in 1968, came to be known as the Level of Living Survey. From the beginning it was not the longitudinal aspect that was the novelty, but rather the fact that a wide spectrum of living conditions was studied with the survey method as such.

The division of level of living into different components, inspired by the work within the UN, resulted in the following list of components included in the Swedish Level of Living Surveys: Health and access to care; Employment and working conditions; Economic resources; Educational resources; Family and social integration; Housing and neighbourhood facilities; Security of life and property; Recreation and culture; Political resources.

The first survey was based on a 0.0001 random sample of the Swedish population aged 15 to 75 years of age. The interviews were made face-to-face according to a structured questionnaire covering all areas listed above. A large number of questions were asked dealing with a variety of aspects within each area.

The 1968 survey was to be repeated in 1974, and the decision was made to stick to the original sample but also include new cohorts of young people and immigrants arriving to Sweden in between the survey periods. Dropped from the sample was those above 75 years of age and those who had either emigrated or died. In 1981 the third Level of Living Survey was conducted with the same sample design and by and large with the same questionnaire. When Johansson left the project in 1982 Robert Erikson became the project leader. Erikson was project leader for the fourth level of living survey, conducted in 1991. During the project period Jan O. Jonsson and Johan Fritzell also were directors of the survey work. The 1991 survey was conducted with basically the same design, except for the fact that the youngest age bracket now became 18 instead of 15. The 1991 survey was enlarged in several respects. An obvious drawback of the panel design in the Level of Living Surveys is the relatively large time-span between each survey. Partly in order to fill in these missing years the 1991 questionnaire includes a work-life history section, and educational and family histories as well, thereby broadening the longitudinal aspects of the study. A second novelty was a specific survey to all individuals previously within the sample but excluded in the 1991 survey, due to the upper age limit. The sample included all persons older than 75 in 1991 who had previously been included in the Level of Living Survey sample and had been interviewed at least once. The interviews included most of the welfare components, with the exception of work related questions and education. Instead, more detailed data on health status and functional abilities was collected, partly by means of simple test performed during the interview. The third major extension was a separate work-place study consisting of interviews with managers at the work-places of all individuals who were employed at a work-place with at least ten employees.</description>
      <pubDate>Fri, 01 Jan 1999 00:00:00 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/ext0007-2</link>
      <guid>https://researchdata.se/en/catalogue/dataset/ext0007-2</guid>
      <dc:publisher>Stockholm University</dc:publisher>
      <dc:creator>Sten Johansson</dc:creator>
      <dc:creator>Robert Erikson</dc:creator>
      <dc:creator>Jan O. Jonsson</dc:creator>
      <dc:creator>Michael Tåhlin</dc:creator>
    </item>
    <item>
      <title>Bliss</title>
      <description>Blissymbolics is a constructed symbol language which is mainly used by people with severe communicative and phsyical disabilities. It consists of around 5000 graphical symbols.</description>
      <pubDate>Mon, 01 Jan 2024 00:00:00 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/doi-10-23695-jrep-ap14</link>
      <guid>https://researchdata.se/en/catalogue/dataset/doi-10-23695-jrep-ap14</guid>
      <dc:publisher>University of Gothenburg</dc:publisher>
    </item>
    <item>
      <title>Class structure in Sweden 1980</title>
      <description>The purpose of the survey is to describe and measure the Swedish class structure regarding mobility, political activity, attitudes and consciousness. A battery of questions addressed work-related issues such as supervision, decision-making, autonomy, respondents formal position in the hierarchy, ownership, credentials, and income. Other work-related data describe the size, industrial sector, and government or corporate linkage of the individuals employer. Further information was gathered on the class origins of the respondents family and of the families of the respondents spouse and friends. Data on class-related experiences such as unemployment and union participation were also collected, as well as data on the division of power and labour in the household. In addition the survey contained a broad range of questions on social and political attitudes and the respondents political participation. The study is part of the multinational study ´Class Structure and Class Consciousness´ (ICPSR 8413), which includes almost identificial studies from United States, Norway, Canada, and Finland.</description>
      <pubDate>Sun, 01 Jan 1984 00:00:00 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/snd0095-1</link>
      <guid>https://researchdata.se/en/catalogue/dataset/snd0095-1</guid>
      <dc:publisher>Uppsala University</dc:publisher>
      <dc:creator>Göran Ahrne</dc:creator>
    </item>
    <item>
      <title>Dataset: The viscosity effect of TiO2 on soda‐lime‐silicate bearing glass</title>
      <description>As TiO2 is replacing SiO2 it has a slight suppressing effect on the viscosity until the limit when Na2O/TiO2 ratio is less than 2, indicating a transformation of the structure of TiO2, a remarkable increase in the fragility and viscosity is observed for the calculated low temperature region. The change is not as evident for the high‐temperature region. CaO replaced by TiO2 gives almost no effect on the viscosity, however, as it approaches Na2O/TiO2≈2 it tends to crystallize at temperatures of 1000‐1050 °C.</description>
      <pubDate>Fri, 09 Jul 2021 08:49:09 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/2021-211-1</link>
      <guid>https://researchdata.se/en/catalogue/dataset/2021-211-1</guid>
      <dc:publisher>RISE Research Institutes of Sweden</dc:publisher>
      <dc:creator>Stefan Karlsson</dc:creator>
    </item>
    <item>
      <title>Dataset: Indentation mechanical properties of chemically strengthened TiO2 doped soda lime silicate glass</title>
      <description>Titanium oxide has been added to the conventional soda lime silicate composition that is the most used glass in different applications. Surface mechanical properties through indentation using both nano- and micro-indenter has been studied both before and after chemical strengthening of the different glass samples.</description>
      <pubDate>Fri, 14 Jan 2022 18:24:21 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/2021-332-1</link>
      <guid>https://researchdata.se/en/catalogue/dataset/2021-332-1</guid>
      <dc:publisher>RISE Research Institutes of Sweden</dc:publisher>
      <dc:creator>Stefan Karlsson</dc:creator>
    </item>
    <item>
      <title>Dataset: Mechanical, thermal, and structural investigations of chemically strengthened Na2O–CaO–Al2O3–SiO2 glasses</title>
      <description>Chemical strengthening is being investigated with the purpose to get a better understanding for the complex mechanisms of the process and in the future create thinner and stronger glass for a sustainable and resource efficient society.

We investigated the effect of alumina doping on thermal, mechanical, and structural properties of a conventional soda lime silicate glass before and after ion exchange strengthening. The techniques to measure properties were:
- 23Na and 27Al Magic Angle Spinning Nuclear Magnetic Resonance (MAS NMR)
- Scattered light polariscope
- Differential Thermal Analysis (DTA)
- Nanoindentation
- Microindentation
More detailed information can be found in the documentation-readme file.</description>
      <pubDate>Thu, 06 Oct 2022 07:16:40 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/2021-177-1</link>
      <guid>https://researchdata.se/en/catalogue/dataset/2021-177-1</guid>
      <dc:publisher>RISE Research Institutes of Sweden</dc:publisher>
      <dc:creator>Stefan Karlsson</dc:creator>
      <dc:creator>Renny Mathew</dc:creator>
      <dc:creator>Sharafat Ali</dc:creator>
      <dc:creator>Mart Paemurru</dc:creator>
      <dc:creator>Johan Anton</dc:creator>
      <dc:creator>Baltzar Stevensson</dc:creator>
      <dc:creator>Mattias Edén</dc:creator>
    </item>
    <item>
      <title>Input data to model multiple effects of large-scale deployment of grass in crop-rotations at European scale</title>
      <description>This is the input dataset to a Python script (https://github.com/oskeng/MF-bio-grass) used to model the effects of widespread deployment of grass in rotations with annual crops to provide biomass while remediating soil organic carbon (SOC) losses and other environmental impacts.

For more information about the dataset and the study, see the original article:

Englund, O., Mola-Yudego, B., Börjesson, P., Cederberg, C., Dimitriou, I., Scarlat, N., Berndes, G. Large-scale deployment of grass in crop rotations as a multifunctional climate mitigation strategy. GCB Bioenergy

Usage Notes:

The data file (Geopackage) can be opened using standard GIS software, preferably GRASS GIS or QGIS (both open source).This dataset is intended as input to a Python script (https://github.com/oskeng/MF-bio-grass) that must be run from within a GRASS GIS session.

The dataset was originally published in DiVA and moved to SND in 2024.</description>
      <pubDate>Mon, 01 Jul 2024 12:09:23 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/2024-384</link>
      <guid>https://researchdata.se/en/catalogue/dataset/2024-384</guid>
      <dc:publisher>Mid Sweden University</dc:publisher>
      <dc:creator>Oskar Englund</dc:creator>
    </item>
    <item>
      <title>Durability Evaluation of Reinforced Glass-Flake Polyester Material Used in Rehabilitation of Sewer Lines in Buildings -Dataset</title>
      <description>This dataset includes original data to support parts of research findings stated in the article: ”Durability evaluation of reinforced glass-flake polyester material used in rehabilitation of sewer lines in buildings”. Currently, different materials and methods are in use in alternative rehabilitations technologies for sewer renewal. This work was conducted to study one of these materials, which is a glass -flake reinforced polyester polymeric system, during artificial aging to provide a better understanding of the material’s performance under operating conditions when it is regularly exposed to degrading factors such as high temperature and water. Changes in the material during aging were monitored by conducting different tests, including thermal and mechanical analysis, water absorption and microscopy.

The dataset was originally published in DiVA and moved to SND in 2024.</description>
      <pubDate>Thu, 25 Apr 2019 00:00:00 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/2024-261</link>
      <guid>https://researchdata.se/en/catalogue/dataset/2024-261</guid>
      <dc:publisher>Royal Institute of Technology</dc:publisher>
      <dc:creator>Parastou Kharazmi</dc:creator>
    </item>
    <item>
      <title>Visual estimates of blood loss by medical laypeople: Baseline data</title>
      <description>The data material was collected in a controlled experiment that investigated the ability of laypeople to visually assess blood loss and to examine factors that may impact accuracy and the classification of injury severity. A total of 125 laypeople watched 78 short videos each of individuals experiencing a hemorrhage. Victim gender, volume of blood lost, and camera perspective were systematically manipulated in the videos.

The data set consists of four variables: volume estimate, volume error, response time, and classification.

Each variable has a separate sheet in the excel document.

The data is from 125 individuals, each listed on a separate row with a unique ID for each individual.
Each sheet includes the participant ID (anonymous number), age in years, participant sex (0 = male, 1 = female), perspective of the video clip (0 = top view, 1 = front view), and then one column for each victim gender and loss volume combination (24 total). The column label consists of M or F for male and female victim, followed by underscore and the loss volume (e.g., M_50 for male victim with 50 ml of blood loss, or F_1100 for a female victim with 1100 ml of blood loss).

Volume estimates are the participants' estimate of blood loss in ml.
Volume error is the estimate minus the true value, in ml.
Response time is the time it took for participants to classify the bleeding as life-threatening or not, in seconds.
Classification is a value from 0 to 1 for the proportion of times the participant classified that particular gender-volume combination as depicting a life-threatening blood loss .</description>
      <pubDate>Tue, 06 Oct 2020 09:01:49 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/2020-42-1</link>
      <guid>https://researchdata.se/en/catalogue/dataset/2020-42-1</guid>
      <dc:publisher>Linköping University</dc:publisher>
      <dc:creator>Erik Prytz</dc:creator>
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