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heiDATA is an institutional repository for Open Research Data from Heidelberg University. It is managed by Heidelberg University's Research Data Unit, a joint institution of the University Library and the Computing Centre. If you are interested in publishing your data here, please have a look at our user guide and get in touch with us. Detailed information on heiDATA can be found in our service description.
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341 to 350 of 567 Results
Nov 9, 2020 - AWI Experimental Economics
König-Kersting, Christian; Pollmann, Monique; Potters, Jan; Trautmann, Stefan T., 2020, "Good decision vs. good results: Outcome bias in the evaluation of financial agents [Dataset]", https://doi.org/10.11588/data/HQW24W, heiDATA, V1, UNF:6:bFbob63euOZqXO04dtgSBQ== [fileUNF]
We document outcome bias in situations where an agent makes risky financial decisions for a principal. In three experiments, we show that the principal’s eval- uations and financial rewards for the agent are strongly affected by the random outcome of the risky investment. This ha...
Apr 18, 2024 - Global Health and Economics
Kohler, Stefan; Bärnighausen, Till; Eichenauer, Jutta; Scheichenbauer, Christel; Paul, Nicolas, 2024, "Gesundheit und berufliche Zufriedenheit von freiberuflichen und angestellten Hebammen: Ergebnisse einer Hebammenbefragung in Baden-Württemberg [Forschungsdaten]", https://doi.org/10.11588/data/AESW63, heiDATA, V1, UNF:6:ry6jPOc6QEiV1shLoJuJ/g== [fileUNF]
Hintergrund: Seit einigen Jahren wird in Deutschland vielerorts ein Mangel an Hebammen diskutiert. In dieser Studie befragten wir freiberufliche und angestellte Hebammen in Baden-Württemberg zu ihrer Gesundheit sowie beruflichen Zufriedenheit. Methode In Zusammenarbeit: mit dem H...
Jun 5, 2023 - PhD related material - Geosciences
Schneider, Marcus, 2023, "Gesteinsgebundene Gase in den Salzlagerstätten des Werra-Fulda-Kalireviers: Relevanz für die Lagerstättensicherheit und Einblick in die Bildung von Klimagasen und ozonzerstörenden Verbindungen bei Intraplattenvulkanismus [Forschungsdaten]", https://doi.org/10.11588/data/G6P9MK, heiDATA, V1, UNF:6:enOdBCCWPLeEEV7xTfiiGQ== [fileUNF]
The long mining history of the Werra-Fulda potash district is characterized by highly frequent gas-induced rocks burst during the extraction of potassium and magnesium salts. The gas was trapped by magmatic alterations of the Permian salt deposit during the Miocene Rhön volcanism...
Sep 2, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)
Wiegand, Michael, 2019, "GermEval-2018 Corpus (DE)", https://doi.org/10.11588/data/0B5VML, heiDATA, V1
This dataset comprises the training and test data (German tweets) from the GermEval 2018 Shared on Offensive Language Detection.
Jan 20, 2021 - Empirical Linguistics and Computational Language Modeling (LiMo)
van den Berg, Esther; Korfhage, Katharina; Ruppenhofer, Josef; Wiegand, Michael; Markert, Katja, 2020, "German Twitter Titling Corpus", https://doi.org/10.11588/data/AOSUY6, heiDATA, V2, UNF:6:14BxjwJS7Q3mfI6ei7iBBw== [fileUNF]
The German Titling Twitter Corpus consists of 1904 stance-annotated tweets collected in June/July 2018 mentioning 24 German politicians with a doctoral degree. The Addendum contains an additional 296 stance-annotated tweets from each month of 2018 mentioning 10 politicians with a...
Aug 15, 2023 - NCT - Section of Translational Medical Ethics
Anger, Michael; Wendelborn, Christian; Schickhardt, Christoph, 2023, "German funders' data sharing policies - A qualitative interview study [interview excerpts]", https://doi.org/10.11588/data/FJAG0X, heiDATA, V1
Background Data sharing is commonly seen as beneficial for science, but is not yet common practice. Research funding agencies are known to play a key role in promoting data sharing, but German funders’ data sharing policies appear to lag behind in international comparison. This s...
Mar 26, 2020 - Empirical Linguistics and Computational Language Modeling (LiMo)
Rehbein, Ines; Ruppenhofer, Josef, 2020, "German causal language annotations and lexicon (verbs, nouns, prepositions) (DE)", https://doi.org/10.11588/data/ZHI94V, heiDATA, V1
Annotations of causal verbs, nouns and prepositions in context and lexicon file for causal verbs, nouns and prepositions.
Dec 10, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)
Becker, Maria, 2019, "GER_SET: Situation Entity Type labelled corpus for German", https://doi.org/10.11588/data/BBQYD0, heiDATA, V1
Semantic clause types, also called Situation Entity (SE) types (Smith, 2003) are linguistic characterizations of aspectual properties shown to be useful for tasks like argumentation structure analysis (Becker et al., 2016), genre characterization (Palmer and Friedrich, 2014), and...
Dec 17, 2015 - Universitätsbibliothek Heidelberg
Antretter, Marlene; Eller, Dirk; Elstermann, Hannes; Geissler, Stefan; Grüning, Simon; Horn, Sebastian; Kohler, Matthias; Kuck, Kevin; Lingnau, Anna; Nozik, Alexandra; Odenwald, Jakob; Rieger, Felix; Schubert, Christopher; Wenze, Felix; Zimmermann, Karin, 2015, "Georeferencing of the "Lorscher Codex"", https://doi.org/10.11588/data/10063, heiDATA, V1
Collection of historic place names from the Lorscher Codex (1176-1200). Most of the (deserted) villages and cities named in the codex had been in possession of Abbey Lorsch, many of them are mentioned for the first time here. In the project the property should be visualised in mo...
Oct 22, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)
Becker, Maria, 2019, "Genre-sensitive Neural Situation Entity classifier (DE, EN)", https://doi.org/10.11588/data/XXKWU0, heiDATA, V1
This is a Classifier for situation entity types as described in Becker et al., 2017. These clause types depend on a combination of syntactic-semantic and contextual features. We explore this task in a deeplearning framework, where tuned word representations capture lexical, synta...
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