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Comportements de santé des élèves en Suisse - 2018
No full textLe fichier spss (.sav) contient 11'121 cas. Son contenu est décrit dans le document „Description des variables“
Analyse de scénarios pédagogiques de robotique éducative
No full text1. Définitions et analyse de scénarios pédagogiques de robotique éducative. 2. Fichier Excel évaluation des scénarios pédagogiques
Data of the EMOKK study 2022-2024
No full textvgl. EMOKK-Item- und Skalendokumentation (angehängt):
Herrmann, C., Bretz, K., Kress, J., & Seelig, H. (2025). Development of basic motor competencies during childhood (EMOKK): Documentation of items and scales – Survey 2020–2024. Pädagogische Hochschule Zürich. https://zenodo.org/doi/10.5281/zenodo.1549419
TraCiSS: School Teachers Survey-2025, Joint Dataset
No full textThis joint dataset combines common questions from the survey of secondary school teachers conducted in Switzerland (the cantons of Bern and St. Gallen), Ukraine, and international schools of the SCHULWÄRTS! exchange program of the Goethe-Institut.
— 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 (row 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), 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, Percentage of unanswered questions, Language used, Sample cluster
TRAIL – Transition in die Berufslehre
No full text– Der Datensatz (SPSS) enthält alle Rohdaten aus den Fragebogen (Schüler*innen, Lehrpersonen) sowie die summierten Werte für die Intelligenztests, Mathematiktests, Lesetests.
– Die verschiedenen Datensätze sind auf der Schüler*innen-Ebene zusammengefügt.
– Die Daten sind anonymisiert.
– Alle Variablen haben deutschsprachige Labels
Wiener Aufnahmen (1909-1923): Italienisch
No full textZu diesem Datensatz gehören 10 Aufnahmen (8 aus dem Kanton Tessin; 2 aus Italien).
Sprache: lombardische Mundart
Surface Groups Kyrgyzstan 1984-2021
No full textSurface groups for Kyrgyzstan (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 North Korea 1984-2021
No full textSurface groups for North Korea (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)
Projekt Berufseinstieg Lehrpersonen T3 teilstrukturierte Interviews
No full textDie Daten wurden ursprünglich mit MAXQDA analysiert. Dieser Datensatz enthält zusätzlich eine Excel Datei, aufgeschlüsselt nach Fall und Interview-Frage.
Die Fallbenennung setzt sich aus folgenden Bausteinen zusammen:
BEF 001 030919 78_mM BEF = Projekt Bereit für die Praxis - Berufseinstieg
001 = Reihenfolge der Durchführung der Interviews
030919 = Datum des Interviews
78 = Code aus der quantitativen Studie (Variable u_title)
mM = mit Mentorat
oM = ohne Mentorat
Über den Code kann eine Verknüpfung mit dem quantitativen Teil der Studie (Datensatz Nr. 1318) erfolgen