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1302 research outputs found
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Surface Groups Burundi 1984-2021
No full textSurface groups for Burundi (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)
LIVIA-FR pre-test, post-test and follow-up data
No full textThis dataset contains participants' responses to the outcome questionnaires at three assessment time points: T0 (pre-test), T1 (post-test) and T2 (follow-up). These data were collected via the REDCap platform.
The primary outcomes are the following:
• Grief symptoms, assessed with a French version (Cherblanc & Zech, 2021) of The Traumatic Grief Inventory (Boelen et al., 2019) at T0, T1 and T2 ;
• Depression symptoms, assessed with the Patient Health Questionnaire-9 (Kroenke & Spitzer, 2002; Kroenke, Spitzer & Williams, 2001) at T0, T1 and T2 ;
• Well-being, measured with the French version (Villieux et al., 2016) of the Flourishing Scale (Diener et al., 2010) at T0, T1 and T2.
Secondary outcomes are the following:
• Anxiety symptoms, assessed with the Generalized Anxiety Scale (Micoulaud-Franchi et al., 2016; Spitzer et al., 2006) at T0, T1 and T2 ;
• Grief coping strategies, measured with the Coping with Bereavement Questionnaire (Ryckebosch-Dayez et al., 2016) at T0 only.
• Aspects related to identity, measured with the Self-Concept Clarity (Brunot et al., 2015; Campbell et al., 1996), the Centrality of Event Scale (Berntsen & Rubin, 2006; Ceschi et al., 2009), and questions about self-continuity (Lampraki et al., 2019) at T0, T1 and T2 ;
• The subjective feelings of loneliness, measured with Loneliness Scale UCLA (De Grâce et al., 1993; Russell et al., 1980) at T0, T1 and T2 ;
• The satisfaction with the program (measured with a translated and adapted version of the CSQ-I; Boß et al., 2016) at T1.
• Monitoring of the mood, solitude feelings and grief symptoms. We monitored weekly the mood of the participants of LIVIA 2 only using a single item (“How would you describe your current mood” on a scale ranging from 0 (very bad) to 6 (very good). Moreover, we monitored weekly the grief and solitude symptoms on a scale ranging from 1 (strongly disagree) to 5 (strongly agree)
INF-COVID: Longitudinal data - Switzerland French-speaking - T0-T1-T2-T3
No full textThis data set contains raw data from the french-speaking Swiss sample at all time points (T0 to T3)
Surface Groups Chad 1984-2021
No full textSurface groups for Chad (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)
WiSel III (Welle 6): Bildungsverläufe von der Primarschule in die Erwerbstätigkeit: individuelle, familiäre, schulische und betriebliche Determinanten
No full textSechste Erhebungswelle im WiSel-Projekt. Durchgeführt im Rahmen des Teilprojekts WiSel III
Der Datensatz von WiSel III (Welle 6) kann mit WiSel I (Welle 1-3, https://www.swissubase.ch/de/catalogue/studies/11063/latest) und WiSel II (Wellen 4-5, https://www.swissubase.ch/de/catalogue/studies/12206/latest) verknüpft werden:
Die Variablenliste (Welle 1-6) kann verwendet werden, wenn WiSel I (Welle 1-3) mit WiSel II (Welle 4-5) gemeinsam betrachtet werden soll. Die Anfangsbuchstaben (abcdef) entsprechen der jeweiligen Welle.
Weitere Informationen im "Dokuband" und auf https://www.fhnw.ch/ph/wisel
recORD - Landscape analysis of open research data assessment practices within Swiss higher education institutions
No full textThis dataset provides an overview of the current state of research assessment practices related to Open Research Data (ORD) within Swiss Higher Education Institutions (HEIs). The goal of this analysis is to delineate existing practices, requirements, and obstacles in assessing ORD across three levels: research proposals, individual researchers, and research units or institutions, depending on their administrative structures. The online survey was distributed to all Swiss universities, federal institutes of technology, universities of applied sciences, and universities of teacher education, according to the swissuniversities list from 2024. The survey focused on formalised research assessment practices and ORD policies and support
OBELIS Swiss Economic Elites
No full textThe data collected on members of the Swiss economic elites are part of the more general OBELIS database on Swiss elites. Currently, the OBELIS database includes elites from four sectors: Political, Economic, Administrative and Academic. The elite status of individuals is defined by the position/function held in these four spheres at the date mentioned. A description of all the different samples of the Swiss elites can be consulted on the website. The data allows researchers to understand the elites through a relational analysis (network analysis) to highlight the interrelations between these elites. The data is also suitable to conduct prosopographical analysis.
There are two samples of Switzerland's economic elite positions on SWISSUbase:
1) Corporate elites
We included the top directors of the 110 largest Swiss firms, including the Chairman of the Board of directors, the CEO and – when they exist – the Delegate of the Board. In addition, we included the members of the board of directors of these firms. The data covers eleven dates: 1890, 1910, 1929, 1937, 1957, 1980, 1990, 2000, 2010, 2015 and 2020.
2) Executive committee members of economic interest groups
We also collected data on the executive committee members of the seven major economic interest groups: the Swiss Banking Association, Economiesuisse, the Swiss Employers’ Association, the Swiss Trade Association, the Swiss Farmers’ Union, the Swiss Federation of Trade Unions and the Christian National Trade Union Federation of Switzerland. The data about executive committee members covers eight dates: 1910, 1937, 1957, 1980, 2000, 2010, 2015 and 2020. There were no systematic data collections for the years 1890 and 1929, so we have not included them in this sample
Formatives Feedback zum mathematischen Argumentieren (FEMAR): Transkriptionen der Interviews mit Lehrpersonen
No full textCareer Tracker 2021 - Flexible Arbeitskräfte in der Schweiz
No full textDie Daten stammen aus dem Projekt „Karriere 4.0: Erfolgreich in der Gig Economy“ (SNF Spark Finanzierung Nr. CRSK-1_190629/1).
Im Rahmen dieses Projekts wurde eine webbasierte Applikation entwickelt, welche ein Online-Training zur Entwicklung von Karrierekompetenzen für flexible Arbeitnehmer*innen beinhaltet. Mit Hilfe dieser Applikation («Career Tracker») wurden Ende 2021 die vorliegenden Daten von flexiblen Arbeitnehmer*innen während und nach den Trainingseinheiten erhoben. Dafür kamen Fragebogen zur Anwendung, vereinzelt wurden auch Systemdaten (v.a. Zeitstempel) erfasst. Das Studiendesign entspricht somit einer Interventionsstudie mit individueller Datenerhebung im Zeitverlauf.
Der Datensatz beinhaltet Angaben von 583 registrierten Nutzer*innen der Career Tracker Applikation.
Die Inhalte für die Applikation entstanden in Zusammenarbeit mit dem Verein Digitale Nomaden Schweiz und Vertreter*innen von Personaldienstleistern.
Die Daten wurden ursprünglich im json-Format gespeichert und werden in einer Excel-Datei zur Verfügung gestellt. Die oberste Zeile enthält die Variablennamen, jede weitere Zeile steht für eine Fallnummer, die eine teilnehmende Person repräsentiert. Die Spalten stellen die erhobenen Variablen dar, deren Bedeutung und Erhebung dem Codebuch entnommen werden kann
Atharvaveda Paippalāda Zurich Edition Book 12
No full textThe twelfth book of the Paippalāda Recension of the Atharvaveda comprises ten sūktas (hymns) with a total of 198 stanzas. Each stanza is provided with an English translation, detailed linguistic and Indological comments, critical apparatus, parallel passages in the Sanskrit literature and a full morpho-lexical analysis. This information is encoded in TEI-XML format