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11 to 20 of 6,233 Results
10056_readme.pdf
Jun 10, 2026 - AUTNES Pre- and Post Panel Study 2013 (SUF edition)
Adobe PDF - 190.1 KB - MD5: 3f1e15104b81386bbf61f88c5022ae8a
Documentation
Data curation protocol
10055_readme.pdf
Jun 10, 2026 - AUTNES Rolling-Cross-Section Panel Study 2013 (SUF edition)
Adobe PDF - 312.0 KB - MD5: 3256cf4cb18d98a0512675c63554449e
Documentation
Data curation protocol
AUTNES Rolling-Cross-Section Panel Study 2013 (SUF edition)
Jun 10, 2026 - AUTNES
Kritzinger, Sylvia; Johann, David; Aichholzer, Julian; Glinitzer, Konstantin; Glantschnigg, Christian; Oberluggauer, Patricia; Thomas, Kathrin; Wagner, Markus; Zeglovits, Eva, 2020, "AUTNES Rolling-Cross-Section Panel Study 2013 (SUF edition)", https://doi.org/10.11587/2EFFLY, AUSSDA, V3, UNF:6:lTgN4AJnVmx4dtfyyj2NVw== [fileUNF]
Full edition for scientific use. This dataset contains political preferences of Austrian citizens eligible to vote (age 16 and older) before (wave 1) and after (waves 2 and 3) the national parliamentary election on 29.9.2013. Telephone interviews (CATI) were conducted in the periods 5.8. – 27.9.2013 (wave 1), 1.10. – 4.11.2013 (wave 2) and 14.8. –...
AUTNES Multi-Mode Panel Study 2017 (SUF edition)
May 28, 2026 - AUTNES
Kritzinger, Sylvia; Aichholzer, Julian; Büttner, Nico; Eberl, Jakob-Moritz; Meyer, Thomas M.; Plescia, Carolina; Wagner, Markus; Morisi, Davide; Boomgaarden, Hajo; Müller, Wolfgang C., 2018, "AUTNES Multi-Mode Panel Study 2017 (SUF edition)", https://doi.org/10.11587/NXDDPE, AUSSDA, V3, UNF:6:G8QobLdA/xYZ6XpwsdUgVQ== [fileUNF]
Full edition for scientific use. The AUTNES Multi-Mode Panel Study 2017 is a three-wave panel that focuses on the Austrian National Parliamentary Election held on 15 October 2017. This survey is part of the Austrian National Election Study (AUTNES).
10025_readme.pdf
May 28, 2026 - AUTNES Multi-Mode Panel Study 2017 (SUF edition)
Adobe PDF - 84.9 KB - MD5: 3222fb83570e04c05f8e7e3f8a217af7
Documentation
Data curation protocol
EOSC Pillar "National Initiatives" Survey (SUF edition)
May 28, 2026 - Public
Bodlos, Anita; Hönegger, Lisa; Kaczmirek, Lars; Beckmann, Volker; Breton, Vincent; Romier, Geneviève; Van Wezel, Jos; Streit, Achim; Stevanovic, Uros; Galeazzi, Fulvio; Tanlongo, Federica; Van Nieuwerburgh, Inge, 2019, "EOSC Pillar "National Initiatives" Survey (SUF edition)", https://doi.org/10.11587/VOSVGK, AUSSDA, V4, UNF:6:YRwI+UyYa4K996Eh2cnN7A== [fileUNF]
Full edition for scientific use. The EOSC-Pillar ”National Initiatives” Survey is a cross-section study in Austria, Belgium, France, Germany, and Italy. The survey aims at landscaping national initiatives of open research data and services with relevance to the European Open Science Cloud (EOSC). Four target groups are part of the study: e-infrastr...
10083_readme.pdf
May 28, 2026 - EOSC Pillar "National Initiatives" Survey (SUF edition)
Adobe PDF - 168.4 KB - MD5: f1b98a65a64bedffd6a50615ed210943
Data curation protocol
Digitize! Online Panel Survey (SUF edition)
May 21, 2026 - Public
Pfaff, Katharina; Weitzel, Daniel; Assenbaum, Laura; Brandl, David; Conte, Luca; Duschek, Béla; Klein, Vanessa; Kvir, Nikita; Meinel, Jakob; Moser, Jakob; Perner, Wanda; Prießnitz, Leonhard; Voith, Valentin; Walcherberger, Christina; Windisch, Franziska; Kritzinger, Sylvia, 2022, "Digitize! Online Panel Survey (SUF edition)", https://doi.org/10.11587/8SFV2L, AUSSDA, V11, UNF:6:Md8w3etqMkSxBOW+tHrisg== [fileUNF]
Full edition for scientific use. The Digitize! Online Panel Survey is an offline-recruited Austrian opinion survey which measures attitudes and behavior towards several social phenomena and issues. Topics include, amongst others, attitudes towards work, immigration, family, health, environment, and media behavior as well as opinions on political ev...
10787_da_de_v10_0.tab
May 21, 2026 - Digitize! Online Panel Survey (SUF edition)
Tabular Data - 27.3 MB - 1688 Variables, 10551 Observations - UNF:6:MdnOW49xVwT7vRxEVwhdZw==
DataSTATA
Core data file - STATA format - 1688 Variables, 10551 Observations - German
10787_da_de_v10_0.zip
May 21, 2026 - Digitize! Online Panel Survey (SUF edition)
ZIP Archive - 3.2 MB - MD5: 306334d523409091976c11e21d478603
CSVData
Core data file - compressed CSV format - 1688 Variables, 10551 Observations - German
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