Metrics
159,149 Downloads
Contact Share
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

11 to 20 of 375 Results
10852_rr04_de_v1_0.pdf
Mar 26, 2025 - Microcensus Labour Force Survey / Housing Survey 2024 (SUF edition)
Adobe PDF - 1.5 MB - MD5: ff50268adc9805ca9759a07d0c6871b7
DocumentationResearch report
Labour market statistics, fourth quarter 2024
10852_vi_de_v2_0.tab
Mar 26, 2025 - Microcensus Labour Force Survey / Housing Survey 2024 (SUF edition)
Tabular Data - 208.4 KB - 3 Variables, 3518 Observations - UNF:6:66/QOkepcmjMZgOAcvUokA==
Documentation
Variable identifiers and descriptions — machine-readable
Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition)
Mar 4, 2025 - Public
Pfaff, Katharina; Kritzinger, Sylvia; Partheymüller, Julia; Conte, Luca; Duschek, Béla; Walcherberger, Christina, 2024, "Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition)", https://doi.org/10.11587/BS8ZDC, AUSSDA, V3, UNF:6:hVAbyHfi5db0mtZ60tGoIQ== [fileUNF]
Full edition for scientific use. The Digitize! Online Panel is used for Austrian opinion surveys, which collect data on attitudes, behavior, and understanding of social phenomena or topics such as immigration, attitudes towards work, family, health, or the environment, as well as...
10876_da_de_v3_0.tab
Mar 4, 2025 - Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition)
Tabular Data - 1.3 MB - 185 Variables, 1683 Observations - UNF:6:WPR3kO2oaomOMzTjHLmZng==
DataSTATA
Core data file – STATA format – 185 Variables, 1683 Observations – German
10876_da_de_v3_0.zip
Mar 4, 2025 - Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition)
ZIP Archive - 191.1 KB - MD5: 4593f7b9e08e27bd72d4c510097b9f5b
CSVData
Core data file – compressed CSV format – 185 Variables, 1683 Observations – German
10876_da_de_v3_0.zsav
Mar 4, 2025 - Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition)
Unknown - 263.5 KB - MD5: 860408e1ea29118e2f1f93d471fef5fc
DataSPSS
Core data file – compressed SPSS format – 185 Variables, 1683 Observations – German
10876_da_en_v3_0.tab
Mar 4, 2025 - Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition)
Tabular Data - 1.3 MB - 185 Variables, 1683 Observations - UNF:6:ltZb4iskPcjInCij+c/IFg==
DataSTATA
Core data file – STATA format – 185 Variables, 1683 Observations – English
10876_da_en_v3_0.zip
Mar 4, 2025 - Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition)
ZIP Archive - 199.2 KB - MD5: bded772b29f3c93ef5c06aa399eb3fa1
CSVData
Core data file – compressed CSV format – 185 Variables, 1683 Observations – English
10876_da_en_v3_0.zsav
Mar 4, 2025 - Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition)
Unknown - 264.9 KB - MD5: aa2fe1c8d27dfe67ef9cdc908326eaa1
DataSPSS
Core data file – compressed SPSS format – 185 Variables, 1683 Observations – English
10876_readme.pdf
Mar 4, 2025 - Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition)
Adobe PDF - 64.5 KB - MD5: 3dc2da92dfeec1e8c92a933b22280d4d
Documentation
Data curation protocol
Add Data

Sign up or log in to create a dataverse or add a dataset.

Sign Up Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.