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Epistemische Emotionen von Lernenden bei MINT-Aufgaben
No full textÜbersicht der „MINT unterwegs“-Lernaufgaben
Thema Körper
11; Welche Sportarten können wir wählen? https://mint-erleben.lu.ch/Zyklus2/show/Körper/laufen
12; Der verletzte Arm; https://mint-erleben.lu.ch/Zyklus2/show/Körper/Knochenmara
13; Die verschwundenen Muskeln; https://mint-erleben.lu.ch/Zyklus2/show/Körper/Gips
Energie
21; Luca kommt zu spät zur Schule; https://mint-erleben.lu.ch/Zyklus2/show/energie/Gesichter
22; Lucas Hamster produziert Strom; https://mint-erleben.lu.ch/Zyklus2/show/energie/Energiespur
23; Ein Belüftungssystem für Luca ausdenken; https://mint-erleben.lu.ch/Zyklus2/show/energie/Energiequelle
Stoffe
31; Woraus besteht eine Wasserglace? https://mint-erleben.lu.ch/Zyklus2/show/chemie > NMG3b_Stoffe_Lehrpersonenmaterial_V40 S. 9 a
32; Wer ist der Täter? Teil 1: Wer hat den Drohbrief geschrieben?; https://mint-erleben.lu.ch/Zyklus2/show/chemie > NMG3b_Stoffe_Lehrpersonenmaterial_V40 S. 16 a
33; Sind in Wasser gelöster Zucker und Wasserdampf noch vorhanden, obwohl sie unsichtbar sind?; https://mint-erleben.lu.ch/Zyklus2/show/chemie > NMG3b_Stoffe_Lehrpersonenmaterial_V40 S. 22 a
Optik
41; Hell und dunkel > Aufgabe A https://mint-erleben.lu.ch/Zyklus2/show/Optik/lichtschatten
42; Der tote Winkel; https://mint-erleben.lu.ch/Zyklus2/show/Optik/Rückspiegel
43; Der vergessliche Detektiv; https://mint-erleben.lu.ch/Zyklus2/show/Optik/Lupen
Elektrizität
51; Was macht einen elektrischen Gegenstand aus?; https://mint-erleben.lu.ch/Zyklus2/show/Elektrizität/Elektrostatik
52; Das Abenteuer der Familie Da Silva; https://mint-erleben.lu.ch/Zyklus2/show/Elektrizität/Stromkreis
Robotik
61; Der Rasenmähroboter im Garten; https://mint-erleben.lu.ch/Zyklus2/show/Robotik/Roboter
62; Der Bodenroboter entdeckt die Schatzinsel; https://mint-erleben.lu.ch/Zyklus2/show/Robotik/Problemlösun
Surface Groups South Sudan 1984-2021
No full textSurface groups for South Sudan (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 Mongolia 1984-2023
No full textSurface groups for Mongolia (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 Grenada 1984-2023
No full textSurface groups for Grenada (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 Trinidad and Tobago 1984-2023
No full textSurface groups for Trinidad and Tobago (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 Honduras 1984-2023
No full textSurface groups for Honduras (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)
GrotteDeLaMadeleine
No full textGrotteDeLaMadeleine 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
EVIST Survey 2023
No full textSPSS / EXCEL file with 130 cases and 507 variables. For details, see technical report
Résumés de colloques publics concernant l'éducation numérique
No full textLe jeu de données fourni ici est un résumé de trois colloques et évènements publics concernant l'éducation numérique
Career Tracker Cohorts (CTC)
No full textFurther information on the project is available at https://careertrackercohorts.ch
The Swiss National Science Foundation (SNSF) decides on the basis of the project description in the download request on the use of the data. The download request needs to be in the form of a project description referring to the conditions mentioned below.
Access to scientific-use files may be granted under the following conditions:
— The project pursues (a) legitimate research question(s) and the application demonstrates that the data will be used appropriately for scientific purposes or for teaching at an institution of higher education.
— The research question(s) described cannot be answered without the scientific-use files of the SNSF-CTC (justification of the data request).
— The application provides all the information necessary (goal of the research project, name(s) of the person(s) and affiliations of all the persons accessing the data, description of the measures taken to ensure data security at the organisational, technical, personnel and informational level).
— The project does not pursue any commercial purpose.
If the researchers intend to link the scientific-use files of the CTC with data from the Federal Statistical Office (FSO), this needs to be specified in the description of the intended use of the data. In addition, the following supplementary conditions apply:
— The purpose of the research needs to be clearly defined. Pursuing different research questions is not possible.
— The application demonstrates how the linkage with the FSO data is indispensable to the research project and that the data will be used appropriately for scientific purposes.
— The researchers have to be employed at a recognized research institution (e.g. university) or at an organization of the federal, cantonal or municipal administration.
If these additional conditions are met, the SNSF may confirm to the FSO that it approves of the data linkage intended by the researchers.
Please note that requests for this dataset may take 2–4 weeks