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Amini, D., Maghoul, P., Perret, D., & Gatmiri, B. (2022). Simulation files to accompany the manuscript "Two-dimensional basin-scale seismic site effects in the Kitimat Valley, British Columbia, Canada: a practical example of using a fast hybrid FE/BE method" [Dataset]. External link
Azzamouri, A., Baptiste, P., Pellerin, R., & Dessevre, G. (2022). Impact of the continuous and periodic assessment of a buffer replenishment on the DDMRP method [Dataset]. External link
Badran, K., Côté, P.-O., Kolopanis, A., Bouchoucha, R., Collante, A., Costa, D. E., Shihab, E., & Khomh, F. (2022). Can ensembling pre-processing algorithms lead to better machine learning fairness? [Dataset]. External link
Belgharbi, H., Porée, J., Damseh, R., Perrot, V., Milecki, L., Delafontaine-Martel, P., Lesage, F., & Provost, J. (2022). 3D Simulated Microbubble Flow in a Mouse Vascular Network [Dataset]. External link
Chembakottu, B. (2022). A large-scale empirical study of android sports apps in the google play store [Dataset]. External link
De Bortoli, A. (2022). Aggregates_LCIs_de_Bortoli [Dataset]. External link
Karakoca, E., Nayir, H., Sümen, G., Karabulut Kurt, G., & Görçin, A. (2022). sub-THz wireless channel measurements [Dataset]. External link
Karimi-Ghartemani, M., Karimi, H., Khajehoddin, S. A., & Hoseinizadeh, S. M. (2022). MATLAB codes [Dataset]. External link
Kazemi, F., Lamothe, M., & McIntosh, S. (2022). Dataset of the study "Exploring the notion of risk in reviewer recommendation" [Dataset]. External link
Lingua, A., Piccirelli, N., Therriault, D., & Lévesque, M. (2022). Supplementary material for 'In-situ full-field measurements for 3D printed polymers during mode I interface failure' [Dataset]. External link
Mancini, M., Karakuzu, A., Cohen-Adad, J., Cercignani, M., Nichols, T., & Stikov, N. (2022). An interactive meta-analysis of MRI biomarkers of myelin [Dataset]. External link
Martínez-Cifuentes, J., Fonseca-Romero, K. M., & Quesada, N. (2022). Classical models are a better explanation of the Jiuzhang 1.0 Gaussian Boson Sampler than its targeted squeezed light model [Dataset]. External link
Moradidakhel, A., Desmarais, M. C., & Khomh, F. (2022). Dev2vec: Representing Domain Expertise of Developers in an Embedding Space [Dataset]. External link
Nardone, V., Muse, B. A., Abidi, M., Khomh, F., & Di Penta, M. (2022). Video game bad smells: what they are and how developers perceive them - online dataset [Dataset]. External link
Openja, M. (2022). Studying the practices of deploying machine learning projects on Docker [Dataset]. External link
Pedneault, J. (2022). PRASTOF - Results [Dataset]. External link
Pelzmann, T., & Robert, É. (2022). Thermal, optical and chemcial dataset of flat premixed Laminar CH4/air standard flames [Dataset]. External link
Perla, P., Faustmann, A., Koelling, S., Zellekens, P., Deacon, R., Fonseka, H. A., Kölzer, J., Sato, Y., Sanchez, A. M., Moutanabbir, O., Ishibashi, K., Grützmacher, D., Lepsa, M. I., & Schäpers, T. (2022). Data for: Te-doped selective-area grown InAs nanowires for superconducting hybrid devices [Dataset]. External link
Provost-Savard, A. (2022). Supporting information for Parametrized regionalization of paper recycling life-cycle assessment [Dataset]. External link
Rodrigues, I. M., Khvorov, A., Aloise, D., Vasiliev, R., Koznov, D., Fernandes, E. R., Chernishev, G., Luciv, D., & Povarov, N. (2022). TraceSim: An Alignment Method for Computing Stack Trace Similarity [Dataset]. External link
Rousseau, M., & Pabst, T. (2022). Blast damage zone influence on groundwater fluxes through backfilled open-pits [Dataset]. External link
Soud, M., Liebel, G., & Hamdaqa, M. (2022). Dataset: A Fly in the Ointment: An Empirical Study on the Characteristics of Ethereum Smart Contracts Code Weaknesses and Vulnerabilities [Dataset]. External link
Soud, M., Qasse, I., Liebel, G., & Hamdaqa, M. (2022). AutoMESC: Automatic framework for mining and classifying ethereum smart contract vulnerabilities and their fixes [Dataset]. External link
Tambon, F., Khomh, F., & Antoniol, G. (2022). A probabilistic framework for mutation testing in deep neural networks - models archive part 1 [Dataset]. External link
Tambon, F., Khomh, F., & Antoniol, G. (2022). A probabilistic framework for mutation testing in deep neural networks - models archive part 2 [Dataset]. External link
Tambon, F., Khomh, F., & Antoniol, G. (2022). A probabilistic framework for mutation testing in deep neural networks - models archive part 3 [Dataset]. External link
Tambon, F., Khomh, F., & Antoniol, G. (2022). A probabilistic framework for mutation testing in deep neural networks - models archive part 4 [Dataset]. External link
Tidjon, L. N. (2022). AI Ethics [Dataset]. External link
Vieira Ferreira, I., Yang, N., Serebrenik, A., & Adams, B. (2022). Why do projects join the Apache Software Foundation? [Dataset]. External link
Weiss, M., & Rahaman, N. (2022). Tiny-ImageNet-R [Dataset]. External link
Zampetti, F., Ossim Belias, F. P., Zid, C., Antoniol, G., & Di Penta, M. (2022). Dataset of the paper "An Empirical Study on the Fault-Inducing Effect of Functional Constructs in Python" [Dataset]. External link