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A multimodal speech-production dataset with time-aligned articulography, EEG, audio, and vocal-tract anatomy
No full textWe present a multimodal speech-production dataset combining simultaneous electromagnetic articulography (EMA; 1,250 Hz), electroencephalography (EEG; 2,048 Hz), and 48 kHz audio from 29 German-speaking adults. All participants have external craniofacial anthropometry; an anatomical subset (N = 18) adds acoustic pharyngometry, rhinometry, and 3D head meshes. Speech materials include alternating and sequential motion-rate syllable sequences at habitual and maximally fast rates with high trial counts; EMA + audio also cover passage reading, sustained vowels, palate tracing, and non-speech oromotor actions. EEG was recorded for syllable blocks. Cross-modal synchronisation is achieved via hardware triggers, yielding sub-millisecond alignment. All streams are released as raw and minimally processed files with a stable event-code map, machine-readable metadata, and open-source Python scripts (with a reproducible container) for data loading, synchronisation, and minimal preprocessing. This resource supports analyses of neural activity time-locked to articulatory onsets, gesture sequencing and rate effects, benchmarking of overt-speech EEG artefact handling, and studies linking vocal-tract anatomy to articulatory dynamics
ALIS Open Data
No full textDatensätze, Codebooks und Fragebögen aus dem Projekt "Beurteilung der Sprachkompetenz im DaF-Unterricht
Schweizer Freiwilligen-Monitor 2025
No full textDatenfile, Fragebogen und technischer Bericht der repräsentativen Bevölkerungsbefragun
Pair and individual interviews with couples and friends in Switzerland (ViRe)
No full textThis dataset contains:
- Data Description (detailing the elements composing a case)
- Participant Overview
- Interview Guides and Interview Material
- Network Drawing / Communication Universe
- Interview Transcripts
- Pictures Overview
- Image Types and Image Types Descriptio
Surface Groups Malawi 1984-2021
No full textSurface groups for Malawi (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 Mali 1984-2021
No full textSurface groups for Mali (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 Rwanda 1984-2021
No full textSurface groups for Rwanda (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 Sudan 1984-2021
No full textSurface groups for Sudan (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)
VersChezLeBrandt
No full textVersChezLeBrandt is part of the KarstConduitCatalogue, a dataset encompassing a wide spectrum of hydrologically active cave conduit geometries. High resolution geometric data of cave wall models were acquired by terrestrial and mobile laserscanning methods. Hydrologists may find this dataset suitable for the analysis of key geometric characteristics shaped by typical cave conduits, including along-conduit distributions of aperture and roughness elements
Interviews on AV ethics with Swiss and international experts
No full textInterviews were conducted with Swiss and international stakeholders that have expertise in AVs (e.g., programmers, developers, managers of AV companies, individuals working on AV regulations). The experts are Swiss residents, the interviews were held via Zoom and lasted approximately 45-60 minutes