461 to 470 of 2,716 Results
May 15, 2026 -
Supporting data for: LLM-Assisted Keymorph Analysis of Grammatical Case in RT's Israeli–Palestinian Conflict Coverage
PNG Image - 434.8 KB -
MD5: 5127e116a50a04ed4a70e8fa41ebfa93
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May 14, 2026 - TROLLing
Janda, Laura Alexis; Kováříková, Dominika, 2026, "Replication Data for: “Emotions in Context: A Semantic Field Viewed through Grammar and Collocation”", https://doi.org/10.18710/4TKI0T, DataverseNO, V1
The basis for the analysis are the grammatical profiles (relative distribution of morphological cases in corpus data) of 65 high-frequency (>1000 attestations in Czech National Corpus) Czech nouns describing emotions. We visualise the grammatical profiles using correspondence analysis, which groups emotion nouns according to similarities in their o... |
May 14, 2026 -
Replication Data for: “Emotions in Context: A Semantic Field Viewed through Grammar and Collocation”
Plain Text - 7.5 KB -
MD5: dc366e6d61055eff48b00cae8bf56c4c
This is the README file that describes the project and all of the other files in this dataset. |
May 14, 2026 -
Replication Data for: “Emotions in Context: A Semantic Field Viewed through Grammar and Collocation”
Comma Separated Values - 3.9 KB -
MD5: 30e92bc08ffbb3fb48f20fef7e9c0802
This is the .csv file containing the data with the original Czech nouns. |
May 14, 2026 -
Replication Data for: “Emotions in Context: A Semantic Field Viewed through Grammar and Collocation”
Comma Separated Values - 4.0 KB -
MD5: 64a55e3a5492b3fbfc0c58afbbbeb532
This is the .csv file containing the data with (approximate) English equivalents. |
May 14, 2026 -
Replication Data for: “Emotions in Context: A Semantic Field Viewed through Grammar and Collocation”
R Notebook - 3.4 KB -
MD5: 5b488c29c4e7a5ac9cae07bd1547a29d
This is the R markdown script for the analysis of 01_emoce.cz.csv and 02_emoce.en.csv. |
May 14, 2026 -
Replication Data for: “Emotions in Context: A Semantic Field Viewed through Grammar and Collocation”
Adobe PDF - 584.5 KB -
MD5: b63d4686de7ea9dfdd4c5c6cd4a152a0
This is the text of the R markdown script for the analysis of 01_emoce.cz.csv and 02_emoce.en.csv. |
May 10, 2026 - NTNU – Norwegian University of Science and Technology
Wallisch, Joachim; Hann, Richard, 2026, "Background Data for: "UAV Icing: Numerical Simulations of Electrothermal Wing De-icing with Shedding Prediction"", https://doi.org/10.18710/OAY9A2, DataverseNO, V2
This dataset contains the summarized simulation results used in the paper "UAV Icing: Numerical Simulations of Electrothermal Wing De-icing with Shedding Prediction". The aim of the paper is to numerically predict ice shedding from a wing with an electrothermal de-icing system. Based on experimental results, shedding is modeled when 76% of the inte... |
May 10, 2026 -
Background Data for: "UAV Icing: Numerical Simulations of Electrothermal Wing De-icing with Shedding Prediction"
Plain Text - 7.0 KB -
MD5: d68885067285923fc940f856bb629597
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May 10, 2026 -
Background Data for: "UAV Icing: Numerical Simulations of Electrothermal Wing De-icing with Shedding Prediction"
Comma Separated Values - 3.0 KB -
MD5: b536b8136b187a35e37dc0e27bdff00a
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