1 to 10 of 1,088 Results
Sep 16, 2025
Faulí Molas, Clara; Plescia, Carolina; Ferreira da Silva, Frederico; Garzia, Diego, 2025, "2024 European Parliament Post-Election Survey in Six Countries (SUF edition)", https://doi.org/10.11587/BFCDJU, AUSSDA, V1, UNF:6:+z+EOfPNCjeIphm0K3B/Lw== [fileUNF]
Full edition for scientific use. European Parliament Post-election online survey in six countries — Belgium, Germany, Italy, Hungary, The Netherlands, Poland — to study the meanings of voting for citizens in European Parliament elections. |
Tabular Data - 7.8 MB - 299 Variables, 6171 Observations - UNF:6:E7ghqRbR5JVhfz2ZEeyxDw==
Core data file – STATA format – 299 Variables, 6171 Observations – English |
ZIP Archive - 682.0 KB -
MD5: 6c885c8e766b5649af7efd8f9183df80
Core data file – compressed CSV format – 299 Variables, 6171 Observations – English |
Unknown - 1.3 MB -
MD5: c77c5b698b80c30b08e68c486ce3f81b
Core data file – compressed SPSS format – 299 Variables, 6171 Observations – English |
Adobe PDF - 324.3 KB -
MD5: dc149063d0ff36b3869beb43b6fe6984
Method report – English |
Adobe PDF - 618.4 KB -
MD5: 7c1b27130c51661f07f9e2973ebd1037
Questionnaire – English |
Adobe PDF - 18.1 KB -
MD5: 10547e2ece70e4ce67051f0226ed171f
Data curation protocol |
Tabular Data - 93.1 KB - 3 Variables, 2460 Observations - UNF:6:/+iCXKQ4uSqgoCiYOig3Iw==
Variable identifiers and descriptions – machine-readable – English |
Sep 2, 2025
Prandner, Dimitri; Röser, Andreas; Makula, Lorenz; Kaczmirek, Lars, 2025, "Mapping the Field II – Structural Data on Social Scientists in Austria (SUF edition)", https://doi.org/10.11587/5URG5G, AUSSDA, V1, UNF:6:KaPwD5m/DholsC0yEVRRrg== [fileUNF]
Full edition for scientific use. The study “Mapping the Field II” was conducted in 2024 and 2025 by AUSSDA – The Austrian Social Science Data Archive. The aim of the study was to provide a detailed insight into the structure of social science research in Austria. The dataset is based on desk research, in which researcher profiles were collected fro... |
Adobe PDF - 92.9 KB -
MD5: a973f0e0a59bd761b2c3509b2681f752
Codebook — German
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