
Data and analysis code associated with the paper titled "Strategic stabilization of arousal boosts sustained attention". The data is organized as a dataframe in .csv format, with the following column names: subject_id = subject ID session_id = session ID date = date start_time = start time (hour of day) block_id = block ID (0-6) trial = trial ID reward = task utility (0 = low; 1 = high) noise_dur = noise duration catch = catch trial (0 = trial with signal; 1 = trial without signal) rt = reaction time w.r.t. trial start time (in seconds) outcome = outcome of trial (0 = hit; 1 = miss; 2 = false alarm; 3 = correct reject) time_trial_start = trial start time w.r.t. session start time (in seconds) time_trial_end = trial end time w.r.t. session start time (in seconds) trial_since_hit = trial number since first hit in a block pupil_trial_start = pre-trial pupil size (% of max) walk = pre-trial walking (0 = still; 1 = walking)
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| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
