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1302 research outputs found
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Checks in BR NWCH 2013 - 2025
No full textThis dataset contains more than 220'000 individual students. In general (without repeating a class) students can appear four times over the entire school career across all datafiles.
The datafiles are available as CSV, SAV (SPSS) and RDS (R) format.
The cantons of the BR NWCH (Aargau, Basel-Landschaft, Basel-Stadt, Solothurn) decide on the basis of the project description in the download request on the use of the data and (additionally; optional) any linking with data provided by the Federal Statistical Office (FSO).
The download request needs to be in the form of a project description with the following components: Context, research questions and hypotheses, methods, planned publications, data required, linking with FSO data (if planned), and information about the data administration within the scope of the project (storage, access, deletion).
It takes about six weeks until a request can be answered.
If linking with other datasets from the FSO is planned and the download request is granted, a second request has to be filed to the FSO
z-proso: Parents Interviews at focal participant ages 7 to 11 (Waves P1-P4)
No full textThis dataset contains the data of the interviews of the parents of the focal participants (age of focal participants: 7 to 11; waves P1-P4). The majority of parent interviews were conducted with the biological mother (P1: 93.7%).
The following documents help to understand the content of the data (partially restricted access):
• Handbook P1-P4 in two versions: Short version (public access) containing general information such as descriptions of questionnaire themes, source, derived constructs, and key publications ("P1_P4_Handbook_short") and a long version providing a detailed overview of each scale, and item wordings ("P1-P4_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 (K1-3), or from other informants (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
TraCiSS: School Teachers Survey-2025, Canton of Bern, Switzerland
No full textThis dataset is based on a survey of secondary school teachers in the canton of Bern, Switzerland, conducted between December 2024 and February 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
Autobiographical interview
No full textThis dataset contains data, procedures and materials from a modified version of the Autobiographical Interview by Levine et al. (2002). Participants were asked to recount personal memories from three time periods (remote past, near past, future). In total, each participant told 6 stories, 2 for each time period. Participant's productions were audio-recorded and transcribed verbatim. The number of inflected verb forms produced was counted for past, present, and future tenses. A score based on internal details (episodic memory) and external details (semantic memory) was also carried out
WiPe-Sport: Pilotierung Instrumentenentwicklung
No full textDieser Datensatz enthält die Daten, die Beschreibung des Auswertungsprozesses, sowie relevante Skripte der statistischen Analyse. Außerdem werde die statistischen Informationen aus der Pilotierungsstudie bereitgestellt, um die Testinstrumente weiter zu nutzen.
Die Daten wurden anonymisiert erhoben, so dass keine Verbindung zwischen den Antworten und den Umfrageteilnehmern möglich ist. Die benötigten Videovignetten für die WIE-Testung können aus Datenschutzgründen hier nicht bereitgestellt werden. Falls sie eine weitere Nutzung der Testung andenken, wenden Sie sich bitte an die Projektleitung
Surface Groups Jordan 1984-2021
No full textSurface groups for Jordan (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)
Language and cognitive tests
No full textThis dataset contains data from standardised language and cognitive tests
Surface Groups Republic of the Congo 1984-2021
No full textSurface groups for Republic of the Congo (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)
Surface Groups Niger 1984-2021
No full textSurface groups for Niger (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)