Notes in README and in main about the complete data

Complete data will be released with other manuscripts. In the meantime, all results and figures except for figures 7 and 8 can be generated.

README.txt

@@ -21,8 +21,8 @@ DEPENDENCIES
 
 USAGE
 
-a. The data used in this analysis will be available upon manuscript publication on OpenNeuro, in BIDS format. Please download all the data and copy into a folder named "data", in the root level code directory. In the meantime before data release, all results pertaining to simulated CCEPs can still be reproduced by the code alone.
+a. The data used in this analysis will be available upon manuscript publication on OpenNeuro, in BIDS format. At time of publication, it will contain the raw data needed to generate all results EXCEPT for those pertaining to figures 7 and 8 (which require data from all stimulation sites in all subjects). The complete data are currently being used to answer other scientific questions, and will be released in time as other projects are completed. We greatly appreciate your patience and understanding. Before manuscript publication, all results pertaining to simulated CCEPs (e.g., Figure 4) can still be reproduced by the code alone.
 
 b. Pial, cortical, and subcortical segmentations for each subject were obtained using Freesurfer v7. These were used to localize each stimulation site to a particular tissue type (in fig7_summarizeCARLARealCCEPs.m). The necessary Freesurfer outputs for each subject are located in the data subdirectory: data/derivatives/freesurfer
 
-c. All custom analyses were performed in MATLAB R2023a. Step-by-step code blocks and instructions to generate all manuscript figures and results are in "main.m". Please open "main.m" and follow the code sections contained therein.
+c. All custom analyses were performed in MATLAB R2023a. Step-by-step code blocks and instructions to generate all manuscript figures and results are in "main.m". Please open "main.m" and follow the code sections contained therein. The data should be downloaded and copied into a folder named "data", in the root level code directory.

main.m

@@ -194,6 +194,9 @@
 
 %% Figure 7: Loop through stimulation sites in each subject and compute optimal CARLA cutoff
 % This also calculates the cross-channel R-squared values for all possible adjusted common average sizes, to be summarized in Figure 8
+%%% NOTE: The data released with publication do not include all stimulation sites (time points are censored by setting to 0).
+%%% Therefore, the results and figures in this section cannot yet be generated. This complete data are currently being used to answer other scientific questions,
+%%% and will be released with other manuscripts in time. We greatly appreciate your patience and understanding.
 
 % First run this script. Outputs are saved to .\output\realCCEPsLoop\.
 applyCARLARealCCEPsLoop
@@ -203,6 +206,9 @@
 fig7_summarizeCARLARealCCEPs
 
 %% Figure 8: Calculate cross-channel R-squared values for no CAR vs different types of fixed CARs vs CARLA
+%%% NOTE: The data released with publication do not include all stimulation sites (time points are censored by setting to 0).
+%%% Therefore, the results and figures in this section cannot yet be generated. This complete data are currently being used to answer other scientific questions,
+%%% and will be released with other manuscripts in time. We greatly appreciate your patience and understanding.
 
 % outputs saved to .\output\realCCEPsLoop\.
 fig8_summarizeInterChCorr