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Selects 2019 Panel Survey (waves 1-7)
No full textDue to anonymity reasons, some variables (municipality, zipcode) are not included in the downloadable dataset. These variables are only available on request and with prior consent of the authors. Please send an e-mail with your justified request to [email protected]
Script for Regression Analysis
No full textThis dataset includes R-Code used to conduct and visualise the logistic regression analyses
Selects 2023 Post-Election Survey
No full textDue to anonymity reasons, some variables (municipality, zipcode, ISCO 08 codes 4-digit level) are not included in the downloadable dataset. These variables are only available on request and with prior consent of the authors. Please send an e-mail with your justified request to [email protected].
The Selects 2023 Post-Election Survey was approved by the Ethics Committee of the University of Lausanne (project number: C_Services_centraux_092023_00004)
Transitions from Education to Employment, Cohort 1 (TREE1), Panel waves 0-10 (2000-2019)
No full textStata and SPSS datasets are available with English labelling. Codebooks and questionnaires document all three survey languages (German, French and Italian). All generic and explanatory information on the data is available in English
TraCiSS: School Teachers Survey-2025, mixed-country
No full textThis dataset is based on a survey of school teachers in the international partner schools of the SCHULWÄRTS! exchange program of the Goethe-Institut (mixed-country cluster) and includes:
— Contextual data: pre-coded answers to closed-ended questions, raw text responses to open-ended items (multilingual), and numerical responses to open-ended questions (raw and numerically coded). Missing data are pre-coded.
— Core questionnaire data: pre-coded answers to closed-ended questions, pre-coded answers to matrix questions, raw text responses to open-ended questions (textual), and raw text responses to open-ended items of matrix questions (textual). All textual data is saved in its original (multilingual) form. Missing data are pre-coded.
— Metadata: Language
z-proso: Adolescent and Young Adult Surveys (Age 11 to 20; Waves K4-K8)
No full textThis dataset contains the data of the survey waves from age 11 to 20 (K4-K8) of the target population. The following documents help to understand the content of the data (partially restricted access):
• Handbook K4-K8 in two versions: Short version (public access) containing general information such as descriptions of questionnaire themes, source, derived constructs, and key publications ("K4-8_Handbook_short") and a long version providing a detailed overview of each scale, and item wordings ("K4-8_Handbook_long”).
• Overview of standard variables (e.g., sex, SES, treatment allocation) that are part of every data package on SWISSUbase
• Codebooks (questionnaires with question/variable names) in English
• Original questionnaires in German
• Scale syntaxes (SPSS) for each data collection wave
• File info including all variable/value labels and dataset structure
• Description of the z-proso project, containing general information on the project, methods and data ("z-proso_ProjectOverview", public access)
• Tabular overview on all z-proso project phases, data collections, and questionnaires including information on scales/domains, and page numbers in the original German questionnaires ("z-proso_DataCollectionsInstruments_W1-9", public access)
• A publication list with selected z-proso methods publications (public access)
The datafile is available in the CSV, SAV (SPSS), and DTA (STATA) formats.
The data is available with prior agreement of project co-directors (Manuel Eisner, Denis Ribeaud, Lilly Shanahan) only. The project direction will grant access to the data based on a research proposal. The research proposal needs to be in the form of a project description with the following components: research questions and hypotheses, operationalisation, planned publications, linking with other project or other data (if planned). If you have questions or need more detailed information or additional documentation, do not hesitate to contact the project direction ([email protected]). The research proposal is part of the application form.
If you, as a data user, are or were a z-proso participant yourself (focal participant, primary caregiver, or teacher), you are required to contact us before submitting a proposal.
If you require further data from earlier data collections, or from other informants (parent, teacher), or from add-on data collections that are not (yet) available on SWISSUbase, please provide a brief outline of your research questions along with a rationale for your specific data requirements
Storytelling-in-sequence task
No full textThis dataset contains data, procedures and materials from a storytelling-in-sequence task in which participants had to tell a story within a given temporal frame. The stories to be told were presented in the form of comic strips, and the temporal framework was set by a carrier sentence. In total, each participant told 6 stories, 2 for each temporal framework (past, present, future). Participant's productions were audio-recorded and transcribed verbatim. The number of inflected verb forms produced was counted for past, present, and future tenses
Dataset by Audrey Bonvin: "Finite Story" narratives in Swiss German and French; information on language dominance and proficiency, 2016-2018
No full textÉtude principale :
• Données orales (récits narratifs séquencé, avec structure informationnelle non prototypiques permettant d'elliciter différents types de relations anaphoriques, Finite Story, Dimroth 2006)
• Résultats d’un questionnaire sur la dominance langagière (Bilingual Language Profile, Birdsong, Gertken, et Amengual, 2012)
• Tests de compétences lexicales par des locuteurs francophones et/ou germanophones en Suisse (LexTaLE, Lemhöfer et Broersma, 2012)
(Les données issues de l'étude secondaire sur la perception de la structure informationnelle et l’organisation du discours par des locutrices et locuteurs francophones en Suisse ne sont pas archivées sur SWISSUBase car elles ne sont pas anonymes. Les détails sont disponibles dans la thèse de doctorat d'Audrey Bonvin
OBELIS Swiss Local Elites (Basel, Geneva and Zurich)
No full textThe data collected on members of the local elites of the three largest city-regions (Basel, Geneva and Zurich) are integrated in the more general OBELIS database on Swiss Elites. Currently, the OBELIS database includes elites from four sectors at the national level: Economic, Political, Administrative and Academic (+ national sociability associations) and covers nine dates: 1890, 1910, 1937, 1957, 1980, 2000, 2010, 2015 and 2020. The elite status of individuals is defined by the position/function held in these four spheres at the date mentioned. A description of all the different samples of the Swiss elites can be consulted on the website. The data allows researchers to understand the elites through a relational analysis (network analysis) to highlight the interrelations between these elites. The data is also suitable to conduct prosopographical analysis.
As for national elites, the identification of local elites of the three largest Swiss city-regions also follows a positional approach by selecting all individuals occupying leading positions in the major local economic, political, cultural and academic institutions for the 7 benchmark years: 1890, 1910, 1937, 1957, 1980, 2000 and 2020.
For the economic sphere we collected information on all the committee members of the regional chambers of commerce as well as directors of the most important companies of the three cities’ leading economic sectors. This includes the major banks and insurance companies for the financial sector; for Basel, all the major textile (until 1937) and chemical-pharmaceutical companies; for Geneva, the major watch-making companies, as well as a few other industrial companies; and for Zurich, all the major companies from the machine industry. The total number of companies varies from 49 in 1890 to 35 in 2020. The smaller sample for the recent period is due to the strong concentration process in all economic sectors, involving mergers and acquisitions as well as bankruptcies. For these companies, all CEOs/general directors and directors’ board members were taken into account. For the political sphere, we included all members of the cantonal (regional) and local (city) parliaments and governments for Geneva and Zurich, whereas in Basel, where the city’s territory fully coincides with the canton, only the members of the cantonal parliament and government were considered. For the academic sphere we include all full and extraordinary (associate) professors of the three cities’ universities until 1957, and, for the more recent dates, a selection of professors according to the occupation of institutional positions or according to their scientific reputation. Finally, the committee members of the three cities’ fine art societies are included as urban elites from the cultural sphere
Surface Groups Morocco 1984-2021
No full textSurface groups for Morocco (years 1984 - 2021) as georeferenced TIF files.
Classified land cover (surface) of each pixel indicated as:
0 = built-up surfaces: surfaces with buildings of non-natural materials such as concrete, metal, and glass (e.g., residential buildings, industrial plants, roads)
1 = grassy surfaces: surfaces covered by grass or other plants with similar surface reflectance (e.g., natural grassland, city parks)
2 = surfaces with crop fields: surfaces with vegetation for agricultural purposes (e.g., hayfields, vineyards)
3 = forest-covered surfaces: surfaces covered by trees or other plants with similar surface reflectance (e.g., mixed forests, moors)
4 = surfaces without vegetation: surfaces with (almost) no vegetation or buildings (e.g., bare rock, sand plains)
5 = water surfaces: any type of water surface (e.g., rivers, lakes)
9 = missing surface classification, most likely due to cloud cover
If a TIF file for a given year within the observation period is missing, no valid satellite imagery was available for that year (e.g., due to constant cloud cover)