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1302 research outputs found
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Surface Groups Norway 1984-2020
No full textSurface groups for Norway (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 Sweden 1984-2020
No full textSurface groups for Sweden (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 Afghanistan 1984-2021
No full textSurface groups for Afghanistan (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)
New perspectives on car and parce que: Dataset and experimental material from Experiment 1
No full textThis resource was created in an exploratory study in which we compare how university students aged 19-25 (Experiment 1) evaluate the acceptability of objective and subjective relations expressed with French "car" and "parce que"
Wirksamkeit Psychomotoriktherapie Grafomotorik (2019-2022)
No full textDer Datensatz enthält alle Variablen, die zur Beantwortung der Haupt-Fragestellungen erhoben wurden, also Personenkenndaten, Testdaten zu Feinmotorik, Schriftkennwerte, Daten der Selbstkonzepterhebung
Befragung der Wählerinnen und Wähler nach den Wahlen - 1995
No full textDue to anonymity reasons, the variables comm_nr (Community nr.), agglo (Agglomeration code) and zip (ZIP code) are not included in the downloadable dataset. 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]
Bildungsverständnisse im sozialen Wandel (BisoWa)
No full textDer Datensatz beinhaltet Querschnittsdaten, welche im Kontext des vom Schweizerischen Nationalfonds geförderten Projektes „Bildungsverständnisse im sozialen Wandel” (Projekt-Nr.: 169748) erhoben wurden. Die Online-Befragung fand im März und April 2019 statt und wurde im Auftrag der Abteilung Bildungssoziologie an der Universität Bern von einem Sozialforschungsinstitut im Kontext ihres Panels mittels eines Random-Quota-Verfahrens durchgeführt. Die Quotierung ist anhand von Randverteilungen des Schweizer Bundesamtes für Statistik nach Alter, Geschlecht und Region sowie nach Erwerbstätigkeit und Haushaltsgrösse vorgenommen worden. Die Stichprobe umfasst erwachsene Personen im Alter zwischen 18 und 79 Jahren, die in der deutschsprachigen Schweiz wohnhaft sind. Die Zielpersonen wurden zunächst über einen telefonischen Kontakt rekrutiert. Zwischen dem 21. März und 1. April 2020 wurden 8.292 Panelisten des Erhebungsinstituts per E-Mail dazu eingeladen, an der Internet-basierten Befragung teilzunehmen. Der vorgegebene Fragebogen wurde im Responsive Web Design (RWD) programmiert, um die Kompatibilität mit mobilen Geräten zu gewährleisten. Insgesamt wurden bei einer avisierten Rücklaufquote von rund 25 Prozent 2.056 Interviews realisiert
MRS psychotherapy study
No full textThe dataset comprises estimates of glutamate (Glu) and glutamine (Gln) levels in the pregenual anterior cingulate cortex (pgACC) and anterior midcingulate cortex (aMCC) in depressed and healthy participants. We used Proton Magnetic Resonance Spectroscopy (1H-MRS) with a two-dimensional J-resolved sequence (2D-JPRESS) to measure Glu and Gln. Depressed (N= 45) and healthy (N= 30) subjects participated in a baseline 1H-MRS measurement. A first data file provides this cross-sectional data. A subgroup of MDD participants (N= 21) then received once-a-week psychodynamic psychotherapy and participated in a second 1H-MRS measurement after six months. A second data file provides this longitudinal data
Surface Groups Czechia 1984-2020
No full textSurface groups for Czechia (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 Iceland 1984-2020
No full textSurface groups for Iceland (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)