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z-proso: Adolescent and Young Adult Surveys (Age 11 to 24; Waves K4-K9)
No full textThis dataset contains the data of the survey waves from age 11 to 24 (K4-K9) of the target population. The following documents help to understand the content of the data (partially restricted access):
• Handbook K4-K9 in two versions: Short version (public access) containing general information such as descriptions of questionnaire themes, source, derived constructs, and key publications ("K4-9_Handbook_short") and a long version providing a detailed overview of each scale, and item wordings ("K4-9_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
Selects 2023 Candidate Survey
No full textTo preserve the anonymity of the respondents, we only provide a reduced ISCO-08 2-digit code. A more detailed four-digit ISCO-08 code can be obtained with a special contract. It is also possible to link the Candidate Survey with data from Smartvote. Please send an e-mail with your justified requests to [email protected].
The Selects Candidate Survey 2023 was approved by the Ethics Committee of the University of Lausanne (project number: C_Services centraux_092023_00006)
TraCiSS: School Teachers Survey-2025, Canton of St.Gallen, Switzerland
No full textThis dataset is based on a survey of school teachers in the canton of St.Gallen, Switzerland, conducted between April and May 2025, and includes:
— Contextual data: pre-coded answers to closed-ended questions, raw text responses to open-ended items (textual, in German), 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 the original (in German). Missing data are pre-coded.
— Metadata: Progress, Completion status, Response ID, Percentage of unanswered questions
The conventionalised impoliteness formula 'che ti venga NP' in two historical corpora, CODIT (13th century to 1947) and Goldoni's drama works (2nd half 18th Century)
No full textTwo Excel spreadsheets for each corpus containing 132 examples of disease curses with 'che ti venga NP'. The spreadsheets are also provided in a CSV format with UTF-8 coding
Selects 2023 Panel Survey (waves 1-4)
No full textDue to anonymity reasons, some variables (municipality, zipcode, isco codes 4-digit level, country of birth) 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 Panel Survey was approved by the Ethics Committee of the University of Lausanne (project number: C_Services_centraux_052023_00011)
Lokalmedien in der Schweiz und Liechtenstein: Übersicht Stand Januar 2025
No full textDie erste Version der vorliegenden Liste diente als Grundlage für eine repräsentative Onlinebefragung aller Redaktionen von Lokalmedien in der Schweiz und in Liechtenstein, die im Kontext des SNF-Projektes "Local journalism and municipal communication in the digital transformation" durchgeführt wurde. Hierunter fielen sowohl klassische Print- als auch Radio-, TV und Onlinemedien. Da eine solche aktuelle Liste nicht verfügbar war, wurde sie vom Projektteam erstellt. Dies geschah zunächst über eine intensive Desk Research, bei der über Schlagwortsuchen in Suchmaschinen, Websites verschiedener Institutionen und durch Hinweise auf Social-Media-Plattformen eine erste Übersicht zusammengetragen wurde. In einem nächsten Schritt wurde diese Liste verschiedenen Expert:innen im Bereich Lokaljournalismus aus allen Sprachregionen der Schweiz vorgelegt und diese um ihre Ergänzungen gebeten. Abschliessend wurden die einzelnen Quellen durch das Team überprüft. 2023 wurde diese Liste überarbeitet, ergänzt (Lokalmedien und Spalten zu Social Media) und aktualisiert. Insgesamt konnte so Stand November 2023 eine Liste mit 500 Lokalmedien (überarbeitete Version) zusammengestellt werden. Aufgrund des sich stetig wandelnden Marktes ist hier jedoch mit fortwährenden Veränderungen zu rechnen. Die Liste wird daher immer wieder überprüft und gegebenenfalls ergänzt. Die aktuellste Version der Liste enthält Daten Stand Januar 2025.
Haben wir ein Medium noch nicht mit aufgeführt oder wurde in einer Redaktion inzwischen der Betrieb eingestellt? Dann freuen wir uns über Hinweise an [email protected]
Surface Groups Tunisia 1984-2021
No full textSurface groups for Tunisia (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)
R code
No full textThe experimental datasets required to run this code are openly accessible at the following address: https://doi.org/10.60544/nd6p-dk04
Surface Groups Singapore 1984-2021
No full textSurface groups for Singapore (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)