121 to 130 of 381 Results
Adobe PDF - 5.1 MB -
MD5: 9cd4bbbe8e036b65fda1fa361ff0d071
List of photo material used in the survey including photo descriptions |
Adobe PDF - 438.7 KB -
MD5: b394e0491f1baa4836f71bed78a77fba
Interview aid |
Adobe PDF - 2.0 MB -
MD5: 185f0af06695cea71d572398d5b63dd9
Questionnaire (French) |
Adobe PDF - 42.1 KB -
MD5: 6c369b658bd45eb2d89af31d497a8781
Data curation protocol |
Tabular Data - 70.8 KB - 3 Variables, 2026 Observations - UNF:6:Oq2EIeCabgx6Xp7a5MvPvg==
Variable identifiers and descriptions – machine-readable |
Jan 3, 2024 -
The design of EU restrictive measures (OA edition)
Adobe PDF - 240.2 KB -
MD5: a895b1effb784e597f3229583e0790e4
Method report |
Jan 3, 2024 -
The design of EU restrictive measures (OA edition)
Adobe PDF - 52.9 KB -
MD5: 21c2ad6a0c5457c41183320c88157112
Data curation protocol |
Jan 3, 2024 - Public
Meissner-Schöller, Katharina, 2024, "The design of EU restrictive measures (OA edition)", https://doi.org/10.11587/37KSDR, AUSSDA, V1
Full edition for public use. Sanctions were the European Union’s (EU) immediate response to Russia’s war against Ukraine and they are a decisive foreign policy tool of the EU. Out of a need for nuanced data, this dataset maps and analyzes the entire set of EU sanctions in force in 2022. The dataset covers the complete track record of Council decisi... |
Jan 3, 2024 -
The design of EU restrictive measures (OA edition)
ZIP Archive - 330.7 KB -
MD5: f2e5e23c76b0f943d07dbfc2ce99d0ba
Core data file – compressed Excel format – 14 Variables, 989 Observations |
Jun 14, 2023 - Public
Kayran, Elif Naz; Danaj, Sonila; Zolyomi, Eszter; Cillo, Rossana; De Smedt, Lynn; De Wispelaere, Frederic; Kovacova, Lucia; Moran, Alexandra; Perocco, Fabio; Prinz, Nicolas; Toplak, Kristina; Vah Jevsnik, Mojca, 2023, "INFO-POW: Information Channels Cross-national Mapping Tool Dataset (OA edition)", https://doi.org/10.11587/HS6WHC, AUSSDA, V1, UNF:6:9YgQDPLXm3JhbCwUxKBv9A== [fileUNF]
Full edition for public use. INFO-POW: Information Channels Mapping Tool Cross-national Dataset is the outcome of the data collection of existing information channels for posting companies in the five project countries (Austria, Belgium, Italy, Slovenia, and Slovakia). The dataset systematically identifies existing information channels and maps dif... |
