Data


Data and scripts from publications


Here you can find datasets (usually accompanied by analysis scripts) for my empirical studies:


  • Günther, F., Petilli, M. A., Vergallito, A. & Marelli, M. (2020). Images of the unseen: Extrapolating visual representations for abstract and concrete words in a data-driven computational model. Psychological Research.

Link to data: https://doi.org/10.17605/OSF.IO/45HDZ


  • Günther, F., Nguyen, T., Chen, L., Dudschig, C., Kaup, B., & Glenberg, A. M. (in press). Immediate sensorimotor grounding of novel concepts learned from language alone. Journal of Memory and Language, 115, 104172.

Link to data: https://doi.org/10.17605/OSF.IO/FTXJY


  • Günther, F., Petilli, M. A., & Marelli, M. (2020). Semantic transparency is not invisibility: A computational model for perceptually-grounded conceptual combination in word processing. Journal of Memory and Language, 112, 104104.

Link to data: https://doi.org/10.17605/OSF.IO/KMRV7


  • Günther, F., & Marelli, M. (2020). Trying to make it work: Compositional effects in the processing of compound "nonwords". Quarterly Journal of Experimental Psychology, 73, 1082-1091.

Link to data: https://doi.org/10.6084/m9.figshare.7867772.v1

  • Günther, F., Marelli, M., & Bölte, J. (2020). Semantic transparency effects in German compounds: A large dataset and multiple-task investigation. Behavior Research Methods, 52, 1208-1224.

Link to data: https://doi.org/10.6084/m9.figshare.8295101


  • Günther, F., Smolka, E., & Marelli, M. (2019). 'Understanding' differs between English and German: Capturing Systematic Language Differences of Complex Words. Cortex, 116, 168-175.

Link to data: https://doi.org/10.1016/j.cortex.2018.09.007


  • Günther, F., & Marelli, M. (2019). Enter sand-man: Compound processing and semantic transparency in a compositional perspective. Journal of Experimental Psychology: Learning, Memory, and Cognition, 45, 1872-1882.

Link to data: http://dx.doi.org/10.1037/xlm0000677.supp


  • Günther, F., Dudschig, C., & Kaup, B. (2018). Symbol grounding without direct experience: Do words inherit sensorimotor activation from purely linguistic context? Cognitive Science, 42, 336-374.

Link to data: https://doi.org/10.6084/m9.figshare.5357470.v1


  • Günther, F., & Marelli, M. (2016). Understanding Karma Police: The Perceived Plausibility of Noun Compounds as Predicted by Distributional Models of Semantic Representation. PLoS ONE, 11 (10), e0163200.

Link to data: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0163200#sec043


  • Günther, F., Dudschig, C., & Kaup, B. (2016). Predicting lexical priming effects from distributional semantic similarities: A replication with extension. Frontiers in Psychology, 7, 1646.

Link to data: https://doi.org/10.6084/m9.figshare.4057695.v1


  • Günther, F., Dudschig, C., & Kaup, B. (2016). Latent Semantic Analysis cosines as a cognitive similarity measure: Evidence from priming studies. Quarterly Journal of Experimental Psychology, 69, 626-653.

Link to data: https://doi.org/10.6084/m9.figshare.4056513.v1


A large dataset of timed sensibility judgments for existing and novel compounds

This dataset contains data from a large study in which participants had to decide whether word combinations such as airport and wormgrade have a sensible interpretation. The dataset is analysed in some of my empirical studies, and is published at the Open Science Framework:

Link to data: https://osf.io/7kynq/