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1. Beta and theta oscillations track effort and previous reward in the human basal ganglia and prefrontal cortex during decision making.

3. Uncovering the neurophysiology of mood, motivation and behavioral symptoms in Parkinsons disease through intracranial recordings.

4. The International Climate Psychology Collaboration: Climate change-related data collected from 63 countries

7. Social and moral psychology of COVID-19 across 69 countries

12. National identity predicts public health support during a global pandemic

13. Author Correction: National identity predicts public health support during a global pandemic

14. Reduced prosocial motivation and effort in adolescents with conduct problems and callous‐unemotional traits.

15. Addressing climate change with behavioral science: A global intervention tournament in 63 countries

16. Addressing climate change with behavioral science: A global intervention tournament in 63 countries

17. Addressing climate change with behavioral science:A global intervention tournament in 63 countries

18. Addressing climate change with behavioral science: A global intervention tournament in 63 countries

19. Acute stress reduces effortful prosocial behaviour

23. Acute stress reduces effortful prosocial behaviour

24. Acute stress reduces effortful prosocial behaviour

27. Anterior cingulate cortex : contributions to social cognition

29. Justify your alpha

34. Prosocial-WE: Prosocial effort in student wellbeing and education

36. Behavioral data

37. Ageing increases prosocial motivation

38. Data and code for 'Neural and computational mechanisms of momentary fatigue and persistence in effort-based choice'

40. Acute stress reduces effortful prosocial behaviour

47. Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning

49. National identity predicts public health support during a global pandemic (vol 13, 517, 2022) : National identity predicts public health support during a global pandemic (Nature Communications, (2022), 13, 1, (517), 10.1038/s41467-021-27668-9)

50. Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning

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