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ArchiMob Release 2 (2019) - Audio samples
No full textThe ArchiMob corpus represents German varieties spoken on the territory of Switzerland. It is the first electronic resource containing long samples of transcribed text in Swiss German, intended to be used for studying spatial distribution of morphosyntactic features and for natural language processing.
This dataset contains a sample of audio files for evaluation purposes. The samples represent small segments of speech from 5 different participants. The complete set of audio files is available on request
Surface Groups Malta 1984-2020
No full textSurface groups for Malta (years 1984 - 2020) 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 San Marino 1984-2020
No full textSurface groups for San Marino (years 1984 - 2020) 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 Slovenia 1984-2020
No full textSurface groups for Slovenia (years 1984 - 2020) 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 Spain 1984-2020
No full textSurface groups for Spain (years 1984 - 2020) 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)
IT Skills in Vocational Education and Training
No full textThe natural language processing method used in this project delivers two datasets, which are contained in the zip-file “UBase_ITSkills”. See Eggenberger C, Backes-Gellner U (2023) IT skills, occupation specificity and job separations. Economics of Education Review. 92:102333. https://doi.org/10.1016/j.econedurev.2022.102333 for more details.
The dataset “EDV_BERT_for_Ubase.csv” shows the values for the different IT skills across Swiss Vocational Education and Training (VET) occupations. It is a comma-separated file.csv file.
The dataset “topickeywords_for_Ubase.xls” shows the keywords for each IT skill (i.e., topics). It is a regular xlsx-file.
The .txt file "documentation_IT Skills in Vocational Education and Training" contains the description of the variables
Erhebung von Dokumenten zur Digitalisierung von Hochschulbildung und Forschung in der Schweiz (1998-2020).
No full textDer Datensatz enthält N=36 Dokumente und Strategiedokumente der Schweizer Hochschul- und Forschungspolitik. Die Dokumente liegen als PDF-Dateien vor. 33 Dokumente sind auf Deutsch verfasst, zwei Dokumente liegen auf Englisch und eines auf Französisch vor.
Zusätzlich sind ein Verzeichnis der Dokumente, das Kodierschema, eine Übersicht über die Dimensionen, Anzahl Kodes und die Anzahl Zitate und ein CSV-File enthalten, in dem diese Informationen für statistische Analysen (bspw. in SPSS) verfügbar gemacht sind
Les multiples parcours de la monoparentalité (2012-2022)
No full textLe jeu de données comprend les entretiens des vagues 1 à 4 (2012-2020). La vague 5 sera disponible ultérieurement
Qualitative interviews on paternity leaves in Lausanne - 2012
No full textLes entretiens ont été menés entre mars et mai 2012 avec des employés ayant bénéficié du nouveau congé paternité, ainsi qu'avec des cadres ayant eu à gérer la prise de congé paternité dans leur équipe. Les entretiens avec les pères (22 personnes interrogées) portaient sur la trajectoire professionnelle et familiale, l'utilisation du congé paternité, et la conciliation de l'emploi et de la famille. Les entretiens avec les cadres (8 personnes interrogées) concernaient le déroulement et la gestion des demandes de prise de congé dans leur équipe et leur perception de la conciliation du travail et de la famille