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1302 research outputs found
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Surface Groups Fiji 1984-2023
No full textSurface groups for Fiji (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)
Swiss Election Study (Selects), cumulative dataset 1971-2023
No full textDue to anonymity reasons, the variables sg5 (postal zip code) and sg6 (community number BfS) are not included in the downloadable dataset. A version of the cumulative dataset including these two variables is only available on request and with prior consent of the authors. If you need the variables sg5 and sg6 for your research purposes, please send an e-mail with your justified request to [email protected]
Surface Groups Venezuela 1984-2023
No full textSurface groups for Venezuela (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 Nicaragua 1984-2023
No full textSurface groups for Nicaragua (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)
Logements intelligents, personnes âgées et soignants/aidants : Faciliter l'acceptation sociale et négocier les responsabilités
No full text42 participants de Suisse romande a accordé un accès libre à leurs transcriptions anonymisées. Un embargo est mis en place pendant 6 mois après la soumission de leurs données : l'accès est donc accordé en juillet 2025.
Par rapport à l'ensemble de données 2778, cet ensemble de données pour les régions francophones de Suisse exclut le Paro (phoque robotisé) et les technologies de réalité virtuelle. Pour cette raison et pour des raisons linguistiques, nous avons conservé ces deux ensembles de données séparés pour l'analyse.
Concernant la stratégie de recrutement :
Il s'agissait d'un échantillon de commodité. Les participants ont été principalement recrutés par le biais des réseaux personnels et professionnels des membres de l'équipe. Des dépliants présentant l'étude et invitant les personnes intéressées à participer (personnes âgées, aidants familiaux et aidants professionnels) ont également été créés et distribués lors de quelques événements auxquels ont participé des personnes appartenant à ces groupes cibles. Cependant, cette stratégie a été moins efficace que le recrutement par le biais des réseaux personnels et professionnels.
La plupart des entretiens ont été réalisés en face à face. Un certain nombre ont été menés en ligne par vidéoconférence.
Une diversité de profils de personnes interrogées a été assurée en termes d'âge, de milieu socio-économique, de niveau d'éducation, de profession et de cadre de vie (ville/campagne, institution/domicile, etc.)
Hoelloch
No full textHoelloch 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
MarkovSpodmol
No full textMarkovSpodmol 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
LesCavottes
No full textLesCavottes 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
Comparative Candidates Survey (CCS) Module III - Cumulative Dataset 2019 - 2024
No full textData from the CCS is available in the form of an integrated dataset including for this version a total of 13 elections from 11 countries: Canada, Finland, Germany, Iceland, lreland, Montenegro, Portugal, Romania, Sweden, Switzerland, and the United Kingdom
CLARU: Corpus Lingüístico de Artigas RurUrbano
No full textThe corpus of the dissertation focuses on the border speech of the Artigas Department (Uruguay), considering both an urban setting (the city of Artigas itself) and a rural one (La Guayubira/La Estiba). The fieldwork was conducted solely by Bárbara Garrido Sánchez-Andrade. The corpus consists of audio material along with the corresponding transcriptions, totaling more than 230,000 words and approximately 24 hours of audio. All material has been anonymized. A specific methodology was applied: semi-structured interviews as well as free conversations. This means that each interviewed speaker also participated in a free conversation with another interviewee.
The final sample is distributed as follows: for the urban setting, the third generation includes individuals aged sixty and above, while the second generation comprises those aged thirty-four to fifty-nine. The total number of speakers in the urban sample is thirteen, consisting of five women and eight men. For the rural setting, the total is seventeen speakers, with nine women and eight men.
In the rural context, a later adjustment was necessary due to the lower number of younger individuals. As a result, the third generation includes speakers aged fifty-five and above, and the second generation includes those aged thirty-four to fifty-four.
The age distribution is not uniform across both settings because, in the urban area, the population density of speakers who use the Artigas variety and reside in the city of Artigas is lower than in the rural setting. Therefore, although the initial plan was to apply the same age distribution for both the urban and rural areas (i.e., using the urban criteria for both), this adjustment proved necessary. This modification also allowed for a more balanced distribution of speakers from the third and second generations in the rural sample. Had the same age ranges from the urban context been maintained for the rural setting, the result would have been six speakers (instead of nine) for the third generation and eleven speakers (instead of eight) for the second generation in the rural area. Given the difficulty in finding suitable speakers for the purposes of this research, this adjustment was considered important.
Regarding the urban speakers, it is worth noting that not all of them come from the city center of Artigas. In fact, six are from the suburban area. The decision to group both the urban and suburban areas together under the label “urban” was based on the following reasons: first, the number of speakers exhibiting the border variety within the city is relatively low; second, the geographic distance between the urban and suburban areas is minimal (in the case of the Ayuí and Cerro Ejido neighborhoods, the distance does not exceed four kilometers), and residents frequently travel between these areas and the city