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Surface Groups Bhutan 1984-2023
No full textSurface groups for Bhutan (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 Federated States of Micronesia 1984-2023
No full textSurface groups for Federated States of Micronesia (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 Mexico 1984-2023
No full textSurface groups for Mexico (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 French Guiana 1984-2023
No full textSurface groups for French Guiana (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)
Cause Commune à Chavannes-près-Renens: données hectométriques
No full textLes données géolocalisées anonymisées au niveau de l'hectare pour la vague 2 et la vague 3. Pour utiliser ces données, veuillez motiver votre demande lors du processus de téléchargement
PolarIs4CAUS
No full textPolarIs4CAUS is a dataset of causal statements derived from climate-related Twitter conversations. It includes manually annotated and curated expressions. The data set is aimed at enabling qualitative analysis and computational modeling of causality in climate debates. Ideal for researchers in argumentation, discourse studies, and NLP
COINS: Gesamtdatensatz zur schriftlichen Befragung der Lehrpersonen (Schweiz & Deutschland)
No full textCOINS: Mathematik-Gesamtdatensatz (Schweiz & Deutschland)
No full textEs handelt sich hierbei um Daten von Schülerinnen und Schülern, die Mathematiktests zu linearen Funktionen und linearen Gleichungen zu mehreren Zeitpunkten bearbeitet haben
Comportements de santé des élèves en Suisse - 2022
No full textLe fichier spss (.sav) contient 9'345 cas. Son contenu est décrit dans le document „Description des variables“
Archamps
No full textArchamps 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