**WHOLE-BRAIN ACTIVATION MAPS** We make available whole-brain activation maps (contrast maps and t-maps in the img/hdr format) for the following experiments and contrasts: **English langloc:** [S (Sentences>Fixation)][1], [N (Nonwords>Fixation)][2], [S>N][3] **Alice loc:** [I (Intact passages>Fixation)][4], [D (Degraded passages>Fixation)][5], [F (Unfamiliar foreign passages>Fixation)][6], [I>D][7], [I>F][8] **Spatial working memory (WM):** [H (Hard condition>Fixation)][9], [E (Easy condition>Fixation)][10], [H>E][11] **Math:** [H (Hard condition>Fixation)][12], [E (Easy condition>Fixation)][13], [H>E][14] *Each file is named using the following convention: UID_sessionID_lang_expt_contrast_imgtype.img/hdr* *The fields are as follows:* *UID=a 3-digit lab-internal participant’s ID* *sessionID=a lab-internal ID for the scanning session* *lang=participant’s native language* *expt=experiment (langloc (English langloc), AliceLoc, spatialWM, math)* *contrast=see list above* *imagetpe=con or t* **TIME SERIES DATA** We make available the time series data for the following paradigms and brain networks: **Story Comprehension:** [Language Network][15], [MD Network][16] **Resting State:** [Language Network][17], [MD Network][18] *Each file is named using the following convention:* *UID_sessionID_lang_system_paradigm.xlsx* *The fields are as follows:* *UID=a 3-digit lab-internal participant’s ID* *sessionID=a lab-internal ID for the scanning session* *lang=participant’s native language* *system = brain network within which the timeseries were estimated (language or MD)* *paradigm=the paradigm used (Story Comprehension, Resting State)* **DATA TABLES** **[Data Table-1:][19] BOLD response magnitudes to all the experimental conditions in the language regions (defined by the English localizer)** Description: Responses for each participant in each language fROI (defined by the Sentences>Nonwords contrast of the English language localizer) to the Sentences and Nonwords conditions (estimated with across-runs cross-validation), to the three conditions of the Alice localizer (native language, acoustically degraded native language, and unfamiliar foreign language), to the two conditions of the spatial working memory task (hard and easy), and to the two conditions of the arithmetic task (hard and easy). **[Data Table-2:][20] Numbers of language-responsive voxels for the Intact>Degraded contrast in the language regions** Description: Numbers of language-responsive voxels (showing a significant Intact>Degraded contrast at the p<0.001 uncorrected whole brain threshold) for each participant in each language parcel. **[Data Table-3:][21] Inter-region correlations for the language and the MD networks during a naturalistic (story comprehension) paradigm.** Description: Inter-region correlations for the language and the MD networks during a naturalistic cognition paradigms (story comprehension in one’s native language) for each participant. **[Data Table-4:][22] Inter-region correlations for the language and the MD networks during a naturalistic (resting state) paradigm.** Description: Inter-region correlations for the language and the MD networks during a naturalistic cognition paradigms (resting state) for each participant. **[Data Table-5:][23] BOLD response magnitudes to all the experimental conditions in the language regions (defined by the native-language localizer)** Description: Responses for each participant in each language fROI (defined by the Intact>Degraded contrast of the Alice localizer) to the Sentences and Nonwords conditions, to the three conditions of the Alice localizer (native language, acoustically degraded native language, and unfamiliar foreign language; estimated with across-runs cross-validation), to the two conditions of the spatial working memory task (hard and easy), and to the two conditions of the arithmetic task (hard and easy). **DATA ANALYSIS** [An SPM toolbox (spm_ss) used for extracting responses from individual functional ROIs][24] [R notebook with scripts for the critical analyses (these scripts use the data tables above)][25] [1]: https://osf.io/fbkrq [2]: https://osf.io/k579b [3]: https://osf.io/r436u [4]: https://osf.io/4jv5m [5]: https://osf.io/wy6d2 [6]: https://osf.io/x68ph [7]: https://osf.io/str9j [8]: https://osf.io/5ay8z [9]: https://osf.io/76uk3 [10]: https://osf.io/xq8ce [11]: https://osf.io/gu6wz [12]: https://osf.io/kc67p [13]: https://osf.io/xprh9 [14]: https://osf.io/nejgv [15]: https://osf.io/t9bjk/ [16]: https://osf.io/rmtpb/ [17]: https://osf.io/kfxpg/ [18]: https://osf.io/qyz92/ [19]: https://osf.io/b9c4z/ [20]: https://osf.io/mu5ax/ [21]: https://osf.io/5jgvh/ [22]: https://osf.io/m4b3a/ [23]: https://osf.io/yz35q/ [24]: https://www.dropbox.com/s/3o9hg9wc1v3lfsy/spm_ss.zip?dl=0 [25]: https://osf.io/f3ruc/