**Participants:** We conducted an a priori power analysis, based on an partial correlation of our interaction from our "meso"-analysis of .22 (corresponding to an effect size of Cohen's f = .226). For our confirmatory analyses and based on an alpha of .05, a priori power of .95 and 2 tested predictors in a multiple regression, we would need 72 participants (see GPower output [here][1]). In order to be able to test the "order" effect, based on an alpha of .05, a priori power of .95, and 8 groups in an Analysis of Variance, we would need 257 participants (see GPower output [here][2]). Because we had a drop-out of 26.7% in Study 2, we will overshoot our sample size to reach 350 participants in total (with 87.5 participants in each condition). **Confimatory analyses:** In order to replicate previous findings about the interaction between temperature condition and the Relationship Closeness Regulation scale in predicting the accessibility of close others, we will conduct a regression analysis with the average IOS score as the dependent variable and the RCR scale score, the Temperature Condition, and the interaction between both as independent variables. The syntax in SPSS to prepare the data and conduct the regression analyses is available [here][3] and the syntax to replicate in R and plot the relationships is available [here][4]. For this regression analysis, only the order in which participants list 5 people after the warm/cold manipulation are included (as auxiliary analyses, we will also test whether the other three subscales reported in the paper again return null results, and will also conduct [TOST equivalence tests][5] to further confirm these null results). We will also test for the main effect of temperature condition, but *only* if attachment styles are equally distributed across conditions. **Exploratory analyses:** In order to investigate the idea that the temperature manipulation influences the rating of the closeness of others besides the mental accessibility of close others, we will conduct a regression analysis with the average IOS score as the dependent variable and the RCR scale score, the Temperature Condition, and the interaction between both as independent variables. For this regression analysis, only participants that list 5 people *before* the warm/cold manipulation are included. We do not expect the same results. **Data exclusions:** We will exclude the input of those who correctly indicate the purpose of the study, an ethnicity other than native Dutch, or those that have participated in our study before. [1]: https://osf.io/spmr8/ [2]: https://osf.io/m63rq/ [3]: https://osf.io/37vk2/ [4]: https://osf.io/7hbcz/ [5]: https://osf.io/q253c/