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1302 research outputs found
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Surface Groups Qatar 1984-2021
No full textSurface groups for Qatar (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 Bermuda 1984-2023
No full textSurface groups for Bermuda (years 1984 - 2023) 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 Cambodia 1984-2023
No full textSurface groups for Cambodia (years 1984 - 2023) 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)
Intelligente Wohntechnologie, Erwachsene und Pflege: Förderung der Akzeptanz in der Bevölkerung und Abgrenzung der Verantwortlichkeiten
No full text38 Teilnehmer aus dem deutschsprachigen Raum der Schweiz haben freien Zugang zu ihren anonymisierten Transkripten gewährt. Die Sperrfrist beträgt 6 Monate nach der Einreichung ihrer Daten, d.h. der Zugang wird im Juli 2025 gewährt.
Hinsichtlich der Rekrutierungsstrategie:
Für diese Stichprobe haben wir eine gezielte Schneeballsystemtechnik verwendet. Die Teilnehmer wurden über eine Vielzahl von Techniken angeworben, darunter Kontakte zu Pflegeeinrichtungen, Essenslieferdiensten und Online-Werbung. Über diese Kanäle wurden auch Flyer erstellt und verteilt, in denen die Studie vorgestellt und interessierte Personen zur Teilnahme eingeladen wurden (ältere Menschen, pflegende Angehörige und professionelle Pflegekräfte). Mundpropaganda und Schneeballsysteme wurden ebenfalls gefördert.
Die meisten Interviews wurden von Angesicht zu Angesicht geführt. Nur eines wurde online per Videokonferenz durchgeführt.
Es wurde darauf geachtet, dass die Profile der Befragten in Bezug auf Alter, sozioökonomischen Hintergrund, Bildungsniveau, Beruf und Lebensumfeld (Stadt/Land, Institution/Haus usw.) unterschiedlich sind
Enquête sur les ex-sportifs et sportives de haut niveau en Suisse, 2021-2022
No full textDonnées quantitatives issues d'une enquête par questionnaire auprès d'ex-sportifs et sportives de haut niveau résidant en Suisse. Formats .csv, .rda et .sa
CascadeDeMotiers
No full textCascadeDeMotiers 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
CHILL: Intervention (m-Path app)
No full textThis dataset includes the intervention data from the m-Path intervention phase, excluding the baseline and monitoring phases, during which no intervention components were presented. It contains information on all strategies, including their timing and participants’ interactions with them. This dataset does NOT include mobile sensing data or questionnaire data assessed in mPath
DDS21, Cross Sectional Survey Wave 3: Popular Vote on 09.06.2024
No full textThe dataset contains the anonymised results of a cross-sectional survey of eligible voters conducted following a popular vote on 09 June 2024. The vote concerned four subjects:
- A vote regarding the initiative "No more than 10% of income for health insurance premiums" ("Premium Relief Initiative"), FSO proposal no. 667
- A vote regarding the initiative "For lower premiums - cost break in healthcare" ("Cost Break Initiative")’, FSO proposal no. 668
- A vote regarding the initiative "For freedom and bodily integrity", FSO proposal no. 669
- A referendum regarding the federal law "On a secure electricity supply with renewable energy" ("Electricity Act"), FSO proposal no. 670
Topics covered in the survey include voting decisions, arguments concerning the ballot measures, political knowledge, values, and beliefs, media consumption, and a survey experiment on political advertisements.
Data is provided in SAV, RDS, and CSV formats. SAV is the primary target format, and researchers are advised to use this version where possible. The SAV file contains user-defined missing variable levels. Users working in an R programming environment may wish to ensure that their chosen method of data import does not simply coerce these to simple "NA"s.
Due to anonymity reasons, some variables are not included in the downloadable dataset, or provided with a reduced level of precision. This concerns:
- The place of residence at the municipality level (omitted)
- Client device metadata (omitted; a separate variable indicating whether the survey was filled out on a mobile or a desktop platform is included)
- Variables related to respondents' current or previous occupation (plain text answers omitted; ISCO-08-coded variables have their precision reduced from the unit group level to the major group level)
- Variables related to respondents' country of birth, as well as the countries of birth of their parents (reduced to dummy variables indicating whether or not the country of birth is Switzerland)
We additionally omit variables solely collected for internal purposes of the DDS21 project; this concerns items measuring satisfaction with the survey, as well as free-form comments about the survey.
These variables are only available on request and with prior consent of the authors. Please send an e-mail with your justified request to [email protected]. The DDS21 project was approved by the Ethics Committee of the University Zurich (UZH PhF Ethics Committee, number 23.05.04)
CCSA: Survey of Teachers, Canton of Bern, Switzerland (2024-2025)
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, row 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, row text responses to open-ended questions (textual), row 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, Duration, Completion status, Response ID, Percentage of unanswered questions