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Swiss Job Market Monitor 1950-2024
No full textEN
The Job advertisements are in text formats and in their original language. The SUF data files containing standardized coding of job ads available in English in JSONL, SPSS, Stata and R data formats. The information extractions are available in English in JSONL.
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DE
Die Stellenanzeigen liegen in Textformaten vor und sind in der jeweiligen Originalsprache abgedruckt. Die SUF-Datendateien liegen in Englisch im JSONL-, SPSS-, Stata- und RData Format vor.
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FR
Les offres d'emploi sont dans un format texte et dans leur langue d'origine. Les fichiers de données SUF sont disponibles en anglais pour SPSS, Stata et R, ainsi qu'au format JSONL
Data of a single-case experimental study on improving the listening comprehension of students with ID who are AAC users through shared text reading
No full textThe datafile is an Excel file.
The first column ("ID") indicates the three participants’ fictional name: Eba, Monika, Kemil.
The second column of the file (“Outcome”) indicates the measured outcome (the dependent variable). The two dependent variables in this study were (a) the number of independent correct responses and (b) the number of correct responses, including those given after the first two prompts of the hierarchy of least intrusive prompts.
The third column ("Phase Name") indicates the phase name: baseline phase (probes administered before the introduction of the intervention), intervention phase (probes administered during the intervention phase) and maintenance (probes administered between two and three weeks after the end of the intervention).
The fourth column ("Session Number") indicates the number of the probe. Probes were administered twice a week.
The fifth column ("Outcome value") indicates the participant’s score obtained on the probe, for example, the number of independent correct responses during the probe
The perception of prosocial agents by chimpanzees and humans_Supplementary Information
No full textIn this file you will find:
- a README document
- the data set necessary to the analyses
- the analyses (script & Data files)
- example of the stimul
National Congregations Study Switzerland (NCSS) congregational census, waves 1 and 2 (2008–2009, 2020–2021)
No full textThe census file lists every identified Swiss local religious group congregation as a single record and was built using denominational registries, prior inventories, and expertise gathered from religious practitioners and academic specialists. Each observation carries a three-level status field that indicates its inter-wave trajectory: maintained across both waves, disappeared in between, or newly appeared by 2022. The file further includes, for example, a twelve-category religious-tradition variable, canton, and municipality
Digitalisierungsmonitor 2023
No full textDer «Digitalisierungsmonitor 2023» wurde im Kontext der Schweizer Wahlen 2023 durchgeführt, um die Positionen der antretenden Kandidierenden und Parteien zu wichtigen Dimensionen der Digitalisierung zu ermitteln. Es handelt sich um ein rein explorativ ausgerichtetes Projekt der angewandten Wissenschaft. Reine Online-Befragung; Vollerhebung 23.6. - 22.10.2023 unter sämtlichen 5925 Kandidierenden der Schweizer Nationalratswahl und 184 Kandidierenden der Ständeratswahl 2023. 1244 NR-Kandidierende (Rücklaufquote: 21 %) bzw. 46 SR-Kandidierende (25 %) haben an der Umfrage teilgenommen.
Informationen über die Vertraulichkeit der Daten: Verwendung zu wissenschaftlichen Zwecken auf aggregierter Ebene. Die Namen der Befragten sind anonymisiert, könnten jedoch anhand der Kontextdaten in Einzelfällen wieder kenntlich gemacht werden. Auf die Kenntlichmachung ist zu verzichten. Jegliche Verwendung und Veröffentlichung von Analysen auf Individualebene muss vorgängig mit der Projektleitung des Digitalisierungsmonitors abgesprochen sein.
Struktur des Datenfiles: Im Datenfile entspricht jede Zeile genau einem bzw. einer Kandidierenden. Nicht an der Befragung teilnehmende Kandidierende weisen bei den Antworten («DM»-Variablen) leere Zellen auf
Kantonsportraits
No full textDE:
Dieser Datensatz ist eine Kompilation mit einer Beschreibung des kantonalen Kontextes. Die Daten sind offen zugänglich und unter einer CC-Lizenz verfügbar.
FR:
Ce jeu de données est une compilation avec une description du contexte cantonal. Les données sont en accès libre et disponibles sous une licence CC
Grapholinguistic landscape of Novi Sad, Serbia
No full textThis dataset features pictures of the grapholinguistic landscape of Novi Sad. It includes a graffiti subcorpus consisting of more than 90 pictures documenting script systems and ideological membership expression in graffiti
Surface Groups Mozambique 1984-2021
No full textSurface groups for Mozambique (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 Senegal 1984-2021
No full textSurface groups for Senegal (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)