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10787_qu_en_v9_0.pdf
Jan 19, 2026 - Digitize! Online Panel Survey (SUF edition)
Adobe PDF - 8.2 MB - MD5: fcebc9d779b994f238ccf7cd5580071b
DocumentationQuestionnaire
Questionnaire - English
10787_readme.pdf
Jan 19, 2026 - Digitize! Online Panel Survey (SUF edition)
Adobe PDF - 111.4 KB - MD5: c6e7b56da25ce8775a75af4c06531111
Documentation
Data curation protocol
10787_vi_de_v9_0.tab
Jan 19, 2026 - Digitize! Online Panel Survey (SUF edition)
Tabular Data - 334.7 KB - 3 Variables, 8881 Observations - UNF:6:VBy2lTtEBwANprDNPUlgsw==
Documentation
Variable identifiers and descriptions - machine-readable - German
10787_vi_en_v9_0.tab
Jan 19, 2026 - Digitize! Online Panel Survey (SUF edition)
Tabular Data - 327.5 KB - 3 Variables, 8925 Observations - UNF:6:8BGYERHoYoYFVdWc23rang==
Documentation
Variable identifiers and descriptions - machine-readable - English
10906_co_en_v1_0.zip
Jan 12, 2026 - AUTNES Automatic Content Analysis of the Media Coverage 2024 (SUF edition)
ZIP Archive - 1.3 KB - MD5: 3848d4f30d90f8572cb690500c16f486
CodebookDocumentation
Codebook – English
10906_mr_en_v1_0.pdf
Jan 12, 2026 - AUTNES Automatic Content Analysis of the Media Coverage 2024 (SUF edition)
Adobe PDF - 264.5 KB - MD5: 7982b84e7d58c195e65c77cce8634454
DocumentationMethod report
Method report – English
10906_readme.pdf
Jan 12, 2026 - AUTNES Automatic Content Analysis of the Media Coverage 2024 (SUF edition)
Adobe PDF - 73.5 KB - MD5: 6b82aadcdfa1ccd9aa38c1d7968bc84d
Documentation
Data curation protocol
10906_vi_en_v1_0.tab
Jan 12, 2026 - AUTNES Automatic Content Analysis of the Media Coverage 2024 (SUF edition)
Tabular Data - 5.2 KB - 3 Variables, 157 Observations - UNF:6:GG31QFpe+RzcZL1yg9bHTg==
Documentation
Variable identifiers and descriptions – machine-readable – English
10890_rr03_de_v1_0.pdf
Jan 7, 2026 - Microcensus Labour Force Survey / Housing Survey 2025 (SUF edition)
Adobe PDF - 8.5 MB - MD5: b52dd0acbc6488d0172371336ba225a2
DocumentationResearch report
Labour market statistics, third quarter 2025
NF0UPG_co_de_v1.pdf
Dec 24, 2025 - Attitudes Towards Migration - Casestudy Linz 2016/17 (SUF edition)
Adobe PDF - 551.0 KB - MD5: d8aff0de4dd562a407b682b61fa75011
CodebookDocumentation
Codebook - 88 variables, 456 observations
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