Y. Wang. Software, (2024)Related to: Y. Wang, W. Wang, A. Abdelhafez, M. Elfares, Z. Hu, M. Bâce, A. Bulling. "SalChartQA: Question-driven Saliency on Information Visualisations", in Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems. doi: 10.1145/3613904.3642942.
B. Bursik, J. Eller, und J. Groß. Dataset, (2024)Related to: B. Bursik, J. Eller, J. Gross: Predicting Solvation Free Energies from the Minnesota Solvation Database Using Classical Density Functional Theory Based on the PC-SAFT Equation of State. Journal of Physical Chemistry B, (2024). Accepted manuscript.
K. Endo, A. Raza, L. Yao, S. Gele, A. Rodríguez-Camargo, H. Vignolo-González, L. Grunenberg, und B. Lotsch. Dataset, (2024)Related to: K. Endo, A. Raza, L. Yao, S. Van Gele, A. Rodríguez-Camargo, H. A. Vignolo-González, L. Grunenberg, B. V. Lotsch, Downsizing Porphyrin Covalent Organic Framework Particles Using Protected Precursors for Electrocatalytic CO2 Reduction. Adv. Mater. 2024, 2313197. doi: 10.1002/adma.202313197.
N. Rodrigues, F. Dennig, V. Brandt, D. Keim, und D. Weiskopf. Software, (2024)Related to: Rodrigues, N., Dennig, F. L., Brandt, V., Keim, D. A., & Weiskopf, D. (2024). Comparative Evaluation of Animated Scatter Plot Transitions. arXiv preprint. arXiv: 2401.04692.
Y. Wang, und A. Bulling. Software, (2024)Related to: Y. Wang, Q. Dai, M. Bâce, K. Klein, A. Bulling. "Saliency3D: A 3D Saliency Dataset Collected on Screen", in Proceedings of the ACM Symposium on Eye Tracking Research & Applications (ETRA '24). doi: 10.1145/3649902.3653350.
M. Buchmeiser, D. Wang, R. Schowner, L. Stöhr, F. Ziegler, S. Sen, und W. Frey. Dataset, (2024)Related to: M. R. Buchmeiser, D. Wang, R. Schowner, L. Stöhr, F. Ziegler, S. Sen, W. Frey,; Synthetic and Structural Peculiarities of Neutral and Cationic Molybdenum Imido and Tungsten Oxo Alkylidene Complexes Bearing Weakly Coordinating N-Heterocyclic Carbenes; Eur. J. Inorg. Chem., in press (2024). doi: 10.1002/ejic.202400082.
T. Krake, D. Klötzl, D. Hägele, und D. Weiskopf. Dataset, (2024)Related to: Tim Krake, Daniel Klötzl, David Hägele, and Daniel Weiskopf, Üncertainty-Aware Seasonal-Trend Decomposition Based on Loess", in IEEE Transactions on Visualization and Computer Graphics, 2024. doi: 10.1109/TVCG.2024.3364388.