1 to 10 of 12 Results
Mar 6, 2024 - Public
Elting, Steffen; Ehmke, Jan Fabian; Gansterer, Margaretha, 2024, "Replication Data for: Collaborative Transportation for Attended Home Delivery (OA edition)", https://doi.org/10.11587/VJ01D5, AUSSDA, V1
Full edition for public use. Instances and solutions to the research on Collaborative Transportation for Attended Home Deliveries. This dataset comprises the 200 input files describing the scenarios for which we solved the problem of Collaborative Transportation for Attended Home Deliveries. It also includes the full record of results obtained. The... |
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... |
Apr 25, 2023 - Public
Meissner-Schöller, Katharina; Graziani, Chiara, 2023, "The transformation and design of EU restrictive measures against Russia (OA edition)", https://doi.org/10.11587/Y0SMXO, AUSSDA, V1
Full edition for public use. Sanctions were the European Union’s (EU) immediate response to Russia’s invasion of Ukraine on February 24, 2022. Out of a need for nuanced data, we map and analyze the entire set of EU sanctions imposed on Russia since 2014 until end of 2022. Our dataset covers the complete track record of Council decisions, regulation... |
Aug 17, 2022 - AUTNES
Litvyak, Olga; Balluff, Paul; Müller, Wolfgang C.; Kritzinger, Sylvia; Boomgaarden, Hajo G., 2022, "AUTNES Manual Content Analysis of the Media Coverage 2019 (SUF edition)", https://doi.org/10.11587/FVTDXG, AUSSDA, V1, UNF:6:QQlKkWP+RiV7zGfjV5X6nQ== [fileUNF]
Full edition for scientific use. The dataset comprises data of AUTNES manual content analysis of media coverage of the Austrian National Election held on 29 September 2019. This study is part of the Austrian National Election Study (AUTNES). |
Aug 11, 2022 - AUTNES
Litvyak, Olga; Fischeneder, Andreas; Balluff, Paul; Müller, Wolfgang C.; Kritzinger, Sylvia; Boomgaarden, Hajo G., 2022, "AUTNES Automatic Content Analysis of the Media Coverage 2019 (SUF edition)", https://doi.org/10.11587/ZY7KSQ, AUSSDA, V2, UNF:6:LotitDNS2g8HxYFEh+Kjpw== [fileUNF]
Full edition for scientific use. The dataset comprises data of AUTNES automatic content analysis of media coverage of the Austrian National Election held on 29 September 2019. This study is part of the Austrian National Election Study (AUTNES). |
Aug 11, 2022 - AUTNES
Galyga, Sebastian; Litvyak, Olga; Balluff, Paul; Eberl, Jakob-Moritz; Rettenegger, Gregor; Egelhofer, Laura Jana; Aaldering, Loes; Lecheler, Sophie; Müller, Wolfgang C.; Kritzinger, Sylvia; Boomgaarden, Hajo G., 2022, "AUTNES Manual Content Analysis of the Media Coverage 2017 (SUF edition)", https://doi.org/10.11587/IYGIBZ, AUSSDA, V2, UNF:6:idOvA+rS0S9zSLxzCyQl1w== [fileUNF]
Full edition for scientific use. The dataset comprises data of the AUTNES manual content analysis of media coverage of the Austrian National Election held on 15 October 2017. This study is part of the Austrian National Election Study (AUTNES). |
Aug 11, 2022 - AUTNES
Litvyak, Olga; Rettenegger, Gregor; Fischeneder, Andreas; Galyga, Sebastian; Eberl, Jakob-Moritz; Müller, Wolfgang C.; Kritzinger, Sylvia; Boomgaarden, Hajo G., 2022, "AUTNES Automatic Content Analysis of the Media Coverage 2017 (SUF edition)", https://doi.org/10.11587/UCQBQQ, AUSSDA, V2, UNF:6:BA15ASb25OkRi9tYeK1m1g== [fileUNF]
Full edition for scientific use. The dataset comprises data of the AUTNES automatic content analysis of media coverage of the Austrian National Election held on 15 October 2017. This study is part of the Austrian National Election Study (AUTNES). |
Apr 26, 2021 - Public
Seyffertitz, Thomas; Katzmayr, Michael, 2021, "Document analysis of scientific journal articles at the Vienna University of Economics and Business 2016 (OA edition)", https://doi.org/10.11587/7P6VWS, AUSSDA, V1, UNF:6:IXSULcGKXpiMgWL3u51cqA== [fileUNF]
Full edition for public use. With this quantitative analysis of scientific journal articles the authors research what types of research data exist at Vienna University of Economics and Business (WU Vienna) and what kind of data are primarily used by researchers.The analysis was intended to help provide an overview of the use, creation and applicati... |
Dec 2, 2020 - AUTNES
Haselmayer, Martin; Jenny, Marcelo, 2020, "The German Political Sentiment Dictionary (SUF edition)", https://doi.org/10.11587/7PFLIU, AUSSDA, V1, UNF:6:fddvmzxSkM88VgrqvxOqTg== [fileUNF]
Full edition for scientific use. This dataset contains a German-language sentiment dictionary of 5001 negative words and their associated sentiment strength on a five-point-scale from 0 (not negative) to 4 (very strongly negative). The procedure for building the dictionary contains the following steps: (1) Sampling 12713 sentences from Austrian par... |
Nov 26, 2020 - AUTNES
Haselmayer, Martin; Jenny, Marcelo, 2020, "Training Data for German Sentiment Analysis of Political Communication (SUF edition)", https://doi.org/10.11587/EOPCOB, AUSSDA, V1, UNF:6:wx/QlNpI73mL4r3N+cNhBg== [fileUNF]
Full edition for scientific use. The dataset contains 125871 sentences extracted from Austrian parliamentary debates and party press releases. Press releases were collected under the auspices of the Austrian National Election Study (AUTNES) and cover 6 weeks prior to each national election 1995-2013. Data from parliamentary debates stem from a rand... |
