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  • Bazin, P. L. E. A., Forstmann, B., Alkemade, A., Miletić, S., & Isherwood, S. (2022). AHEAD quantitative MRI templates (MNI2009b) [Data set]. Universiteit van Amsterdam. https://doi.org/10.21942/uva.19646364.v1
  • EVS/WVS, & Verhoeven, P. (2022). Joint EVS/WVS 2017-2022 Dataset [Data set]. WVSA - World Values Survey Association. https://doi.org/10.14281/18241.19
  • Schmitt, H., Hobolt, S. B., van der Brug, W., & Popa, S. A. (2022). European Parliament Election Study 2019, Voter Study [Data set]. GESIS - Leibniz Institute for the Social Sciences. https://doi.org/10.4232/1.13846
  • Hardwicke, T. (2022). Avenues for critical discourse at influential scientific journals: A cross-disciplinary assessment of post-publication peer review policies and practice [Data set]. Code Ocean. https://doi.org/10.24433/co.3805142.v1
  • Deen, H., Notebaert, L., van Bockstaele, B., Clarke, P. J. F., & Todd, J. (2022). Additional file 3 of For there is nothing either good or bad: a study of the mediating effect of interpretation bias on the association between mindfulness and reduced post-traumatic stress vulnerability [Data set]. figshare Academic Research System. https://doi.org/10.6084/m9.figshare.19760000.v1
  • Deen, H., Notebaert, L., van Bockstaele, B., Clarke, P. J. F., & Todd, J. (2022). For there is nothing either good or bad: a study of the mediating effect of interpretation bias on the association between mindfulness and reduced post-traumatic stress vulnerability [Data set]. figshare Academic Research System. https://doi.org/10.6084/m9.figshare.c.5993930.v1
  • Hardwicke, T. (2022). Statistical guidance to authors at top-ranked scientific journals:A cross-disciplinary assessment [Data set]. Code Ocean. https://doi.org/10.24433/co.6131540.v1
  • Junk, W. M., Berkhout, J., Hanegraaff, M., Crepaz, M., & Aizenberg, E. (2022). Changes in interest group access in times of crisis: no pain, no (lobby) gain [Data set]. figshare Academic Research System. https://doi.org/10.6084/m9.figshare.16539758.v2
  • Clemm von Hohenberg, B., & Guess, A. M. (2022). Replication Data for: When Do Sources Persuade? The Effect of Source Credibility on Opinion Change [Data set]. Harvard Dataverse. https://doi.org/10.7910/dvn/gejgv8
  • He, L., Basar, E., Wiers, R., Antheunis, M. L., & Krahmer, E. (2022). Data and materials of study "Can chatbots help to motivate smoking cessation?" [Data set]. DataverseNL. https://doi.org/10.34894/az5qj9
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