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The Vertical Policy Harmonization Indices (VPHI)
No full textThis dataset includes all the data compiled for the construction of two distinct Vertical Policy Harmonization Indices, the Target Index and Policy Effort Index, which measure the gap between countries’ NDCs and national policies concerning political commitment to mitigate climate change. The indices are constructed along three indicators that reflect key dimensions of climate policymaking: compliance emissions which refer to the level of emission countries aim to achieve under their GHG emission reduction targets, scope which captures the sectors covered by those targets, and policy mix which relates to the portfolio of policy instruments introduced to reduce emissions.
These indicators rely on datapoints that were drawn from various sources or generated during the content-based coding of countries' NDCs and national policy documents. The compliance emissions and scope indicators draw on target- and emissions-related data (e.g., level of commitment, target type, base year emissions, sector coverage) and data for the policy mix indicator was extracted from countries' national policy documents and includes information (e.g., information type, implementation procedures, status) relating to their policy instruments for mitigating climate change.
In addition to the data used to construct these indicators and indices, the Vertical Policy Harmonization Indices Dataset includes policy-level information (e.g., application period, status, type, integration). Sources and detailed descriptions of the dataset are included under the respective files.
This dataset was compiled and generated during the course of the SNIS project "What international negotiators promise and domestic policymakers adopt: Policy and politics in the multi-level climate change regime". This dataset, and subsets thereof, have been utilized in related publications, including:
Baker, Jack Kessel (2023): Keeping Promises? Democracies’ Ability to Harmonize Their International and National Climate Commitments. Global Environmental Politics 2023; 23 (4): 170–200. doi: https://doi.org/10.1162/glep_a_00709
Castro, Paula, Marlene Kammerer, Axel Michaelowa (2024): How Does Polycentric Engagement Relate to Countries’ NDC Ambition and Mitigation Policy Effort?. Global Environmental Politics 2024; doi: https://doi.org/10.1162/glep_a_00751
Baker, Jack Kessel, Marlene Kammerer, Paula Castro, Karin Ingold (under review): The Vertical Policy Harmonization Indices: Assessing the gap between climate pledges and policies, Climate Polic
Autobiographical interview
No full textThis dataset contains data, procedures and materials from a modified version of the Autobiographical Interview by Levine et al. (2002). Participants were asked to recount personal memories from three time periods (remote past, near past, future). In total, each participant told 6 stories, 2 for each time period. Participant's productions were audio-recorded and transcribed verbatim. The number of inflected verb forms produced was counted for past, present, and future tenses. A score based on internal details (episodic memory) and external details (semantic memory) was also carried out
Temporality tasks
No full textThis dataset contains data, procedures and materials from three tasks assessing temporality: a task of assessment of temporality conveyed by temporal adverbs, a task of assessment of the completeness of action, and a questionnaire on temporality
MOSAiCH 2024. Measurement and Observation of Social Attitudes in Switzerland. Study on Digital Societies and related topics
No full textThe data is documented in English, but the data collection languages are German, French and Italian
E: Be aware that the downloadable file is a highly anonymized version. If you notice (after the download) that this data file is not sufficient for your purpose, you can ask for the complete anonymized data file by sending an e-mail to [email protected]. This version is available with prior agreement of authors only. When asking for this file, you will need to argue why the highly anonymized version is not sufficient for your intended use.
D: Wir möchten Sie darauf hinweisen, dass es sich bei diesem Datensatz um stark anonymisierte Daten handelt. Falls Sie nach dem Download bemerken sollten, dass diese Version Ihren Analysevorhaben nicht genügt, können Sie per E-Mail an [email protected] die kompletten Daten in anonymisierter Form anfordern. Diese sind ausschliesslich nach Zustimmung der Autoren/innen erhältlich. Um diese kompletteren Daten anzufragen, werden Sie gebeten zu begründen, weshalb die stark anonymisierten Daten für Ihr Vorhaben nicht genügen.
F : Nous attirons l’attention des chercheurs·euses sur le fait qu’il s'agit d'une version hautement anonymisée des données de cette étude. Si, après téléchargement, celle-ci ne devait pas suffire à vos besoins, vous pouvez faire une demande par e-mail à [email protected] pour la version anonymisée complète, disponible uniquement avec accord préalable des auteur·e·s. Vous devrez alors exposer pourquoi la version hautement anonymisée ne suffit pas pour réaliser votre projet.
PLEASE NOTE that the comprehensive Survey Documentation report covers the documentation of the whole survey cycle of MOSAiCH 2024 (design, implementation, processing, archiving) and has to be cited together with the data when using MOSAiCH 2024 data in your publications. In this first version, the sample composition and response analysis (chapter 4.2 and 4.3) is not included yet
Questionnaire on Heritage Languages in Switzerland
No full textThis dataset consists in a questionnaire on heritage languages in Switzerland. The questionnaire comprises questions and innovative rating tasks about language capital and language prestige.
The questionnaire was developed between January 2024 and January 2025 and released in February 2025 by Dr. Cristiana Lucchetti at the University of Zurich
Survey of all digitalization-relevant study programs at Swiss universities, universities of applied sciences, and universities of teacher education
No full textThis dataset includes all digitization-related degree programs offered at Swiss universities, universities of applied sciences and universities of teacher education between 2017 and 2023. The dataset contains information on the study programme, the year, the responsible institute, the faculty, the type of university, the number of students at the university, the canton, the language region, the existence of a digitalization strategy, the number of words in the self-description of the study programme and other variables
WiPe-Sport: Interventionsstudie
No full textDer Datensatz enthält die anonymisierten Daten der Interventionsstudie, dies umfasst Testergebnisse in den Bereichen des klassenführungsbezogenen Wissens und der klassenführungsbezogenen WIE (t0 und t1), sowie Ratings der zugehörigen Unterrichtslektionen.
Die Daten wurden zum Zweck der Veröffentlichung anonymisiert.
Die Unterrichtsvideos sind aus Datenschutzgründen nicht veröffentlicht und eine weitere Verwendung außerhalb des Forschungsprojekts ist nicht möglich
Surface Groups Eswatini 1984-2021
No full textSurface groups for Eswatini (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 Zimbabwe 1984-2021
No full textSurface groups for Zimbabwe (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)