These data supplement the article Einhäuser, W., & Nuthmann, A. (2016). Salient in space, salient in time: Fixation probability predicts fixation duration during natural scene viewing. Journal of Vision, 16(11):13, 1-17, doi:10.1167/16.11.13. The data can be used freely for academic purposes, provided the aforementioned reference is appropriately cited. The following files are available: allData.mat Includes the datamatrix allData with the following columns: 1) Line used for analysis in the article (0 - no, 1-yes). Possible reasons for exclusion: a. fixation duration smaller than 50ms or larger 1000ms b. fixation adjacent to a blink (preceding or following) c. fixation outside the image 2) ID of observer (1-24) 3) ID of condition (1:grayscale, 2: reduced luminance, 3: reduced contrast, 4: equalized luminance, 5: equalized contrast, 6: phasenoise) 4) ID of image (48 unique numbers between 1 and 135) 5) horizontal eye position 6) vertical eye position 7) fixation duration in ms 8) value of empirical map generated from search condition of experiment 1 at fixated location 9) value of empirical map generated from preference condition of experiment 1 at fixated location 10) value of empirical map generated from memorization condition of experiment 1 at fixated location 11) value of empirical map generated from joining memorization and preference condition of experiment 1 at fixated location 12) value of empirical map generated from condition 1 at fixated location 13) value of empirical map generated from condition 2 at fixated location 14) value of empirical map generated from condition 3 at fixated location 15) value of empirical map generated from condition 4 at fixated location 16) value of empirical map generated from condition 5 at fixated location 17) value of empirical map generated from condition 6 at fixated location 18) value of empirical map generated from condition 1 at fixated location leaving out the current observer 19) value of empirical map generated from condition 2 at fixated location leaving out the current observer 20) value of empirical map generated from condition 3 at fixated location leaving out the current observer 21) value of empirical map generated from condition 4 at fixated location leaving out the current observer 22) value of empirical map generated from condition 5 at fixated location leaving out the current observer 23) value of empirical map generated from condition 6 at fixated location leaving out the current observer 24) luminance at fixation 25) luminance contrast at fixation 26) edge density at fixation 27) eccentricity of fixation usedData.Rdata - for all lines that are used for analysis (allData(:,1)==1) a field in an R dataframe is created, which contains the following fields (for details, see description of matlab file above): obsNum: the ID of the observer (1-24) condNum: the ID of the condition (1-6) imgNum: the ID of the image (48 unique numbers between 1 and 135) fixDur: fixation duration LUM, LCG, ED, ECC: luminance, contrast, edge density and eccentricity at fixation empMapFromSearch, empMapFromPref, empMapFromMem, empMapFromJoint: values of empirical maps generated from data of experiment 1 (search, preference, memorization task as well as combination of the latter two) at fixation empMapFromC1 through empMapFromC6: value of empirical map generated from condition 1 through 6 at fixated location empMapFromC1loo through empMapFromC6loo - value of empirical map generated from condition 1 through 6 at fixated location leaving out the current observer x,y - coordinates of fixation modelsFigure7.R - computes all models for figure 7 of the aforementioned article (Note: depending on your system, this can take substantial time; depending on the version of the lme-package results may deviate slightly from those given in the paper) modelsFigure8.R - computes all models for figure 8 of the aforementioned article (Note: depending on your system, this can take substantial time; depending on the version of the lme-package results may deviate slightly from those given in the paper)