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Surface Groups Croatia 1984-2020
No full textSurface groups for Croatia (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)
Autoremission: Textdaten und visuelle Daten der SelbstheilerInnen (1988 - 2002)
No full textAls Einstieg empfiehlt sich das Dokument "Projekt Übersicht".
Das Dashboard gibt Übersicht über die Vollständigkeit der jeweiligen Fall-Dossiers der SelbstheilerInnen.
Die Schlussberichte der Erstuntersuchung und der Folgestudien mit detaillierter Beschreibung befinden sich im Ordner 'Berichte' und dienen als zentrale Führung durch die Gesamtprojektstruktur.
Der Technische Bericht gibt Einblicke in die Datenaufbereitung
Surface Groups Liechtenstein 1984-2020
No full textSurface groups for Liechtenstein (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 Montenegro 1984-2020
No full textSurface groups for Montenegro (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 North Macedonia 1984-2020
No full textSurface groups for North Macedonia (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)
Atharvaveda Paippalāda manuscripts
No full textThe collection of manuscript photographs presented here was provided by Arlo Griffiths, who assembled them during a series of field trips to various locations in Odisha (eastern India) in the years 1998 to 2001 and later added to.
The data were prepared for publication and supplemented by reference tables by Paul Widmer and Thomas Zehnder
Surface Groups Angola 1984-2021
No full textSurface groups for Angola (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)
Professional Paths Survey (ProPaS), Life Calendar module
No full textThe Life Calendar study aims to sample significant life events in several key domains (such as work, training, relationships, etc.) after the person's entry into the labour market. It is based on the same pool of participants as the longitudinal 7-wave "Professional Paths" survey. Please note that the Life Calendar study uses a different set of questions than the afore-mentioned longitudinal survey and is, therefore, considered an add-on module.
The datasets are open to secondary analyses. We ask interested researchers to send us a brief abstract of their intended project (i.e., max. 250 words) in order to coordinate research efforts and prevent duplicates
Swiss Preferences for Candidates with Different Class Profiles
No full textThe dataset is based on a survey experiment implemented in 2017
The West European Voter (WEV): 1961-2020
No full textThe West European Voter (WEV) is a large-N survey data harmonization project. It pools data from National Election Studies conducted in sixteen West European democracies between 1961 and 2020. The WEV dataset includes information on selected socio-demographic, political attitudes, and voting behavior variables for a total of 464033 respondents across 182 different election studies. This is an ongoing project, continuously expanding on the breadth of variables and the number of countries and elections included