load_dataset.m

function [Data] = load_dataset(pos,atlas,task)
% Load the dataset according to the position (server or local pc)
% it outputs the data in NUM frames x NUM of REGIONS
    if (strcmp(pos,'original')) 
        V = load('20Subjects_AAL90_corrected.mat');
        Data = V.V_all;
    
    elseif (strcmp(pos,'server50'))
        p = '/media/miplab-nas2/Data3/Anjali/Diffusion_pipeline/Graph-signals/Graph-Hermina-PascalsLab/';
        if (strcmp(atlas, 'AAL'))
            switch task
                case 'M'
                    V = load([p,'50Subjects_Motor_Basic_AAL.mat']);
                case 'R'
                    V = load([p,'50Subjects_RelationalMemory_Basic_AAL.mat']);
                case 'W'
                    V = load([p,'50Subjects_WorkingMemory_Basic_AAL.mat']);
                case 'L'
                    V = load([p,'50Subjects_Language_Basic_AAL.mat']);
                case 'S'
                    V = load([p,'50Subjects_Social_Basic_AAL.mat']);
                case 'E'
                    V = load([p,'50Subjects_Emotion_Basic_AAL.mat']);
                case ''
                    V = load([p, '50Subjects_RS_Basic_AAL.mat']);
                otherwise
                    disp('Error! Choose between M, R, W, S, E, L')
            end
       
            Data = V.V_all;
        elseif (strcmp(atlas,'Gl'))
            V = load([p,'50Subjects_RS_GLasser_NuissanceRegressed.mat']);
            data = V.V_all;
            Data = data;
            % [coeff, score, variance] = pca(data);
            % feat = score(:,1:90);
            % Data = feat;
        end
        
        
        %%% AAL atlas
        % 50Subjects_WorkingMemory_Basic_AAL.mat
        % 50Subjects_Motor_Basic_AAL.mat
        % 50Subjects_RelationalMemory_Basic_AAL.mat
        % 50Subjects_RS_Basic_AAL.mat
        % 50Subjects_Emotion_Basic_AAL.mat
        % 50Subjects_Language_Basic_AAL.mat
        % 50Subjects_Social_Basic_AAL.mat
        
        %%% HIGH PREPROCESSED
        % 50Subjects_RS_GLasser_NuissanceRegressed.mat
        % 50Subjects_RelationalMemory_GLasser_NuissanceRegressed.mat
        % 50Subjects_WorkingMemory_GLasser_NuissanceRegressed.mat
        % 50Subjects_Motor_GLasser_NuissanceRegressed.mat
        
        %%% Not high preprocessed
        % 50Subjects_WorkingMemory_GLasser.mat
        % 50Subjects_Motor_GLasser.mat
        % 50Subjects_RS_GLasser
        
        %%% AAL atlas high preprocessing
        % 50Subjects_WorkingMemory_NuissanceRegressed_AAL.mat
        % 50Subjects_RelationalMemory_GLasser_NuissanceRegressed.mat
        
        
    elseif (strcmp(pos,'local'))
        
        p = '/Volumes/Data3/Anjali/Diffusion_pipeline/Graph-signals/Graph-Hermina-PascalsLab/';
        if (strcmp(atlas, 'AAL'))
            switch task
                case 'M'
                    V = load([p,'50Subjects_Motor_Basic_AAL.mat']);
                case 'R'
                    V = load([p,'50Subjects_RelationalMemory_Basic_AAL.mat']);
                case 'W'
                    V = load([p,'50Subjects_WorkingMemory_Basic_AAL.mat']);
                case 'L'
                    V = load([p,'50Subjects_Language_Basic_AAL.mat']);
                case 'S'
                    V = load([p,'50Subjects_Social_Basic_AAL.mat']);
                case 'E'
                    V = load([p,'50Subjects_Emotion_Basic_AAL.mat']);
                case ''
                    V = load([p, '50Subjects_RS_Basic_AAL.mat']);
                otherwise
                    disp('Error! Choose between M, R, W, S, E, L')
            end
       
            Data = V.V_all;
    else
        disp('The position specified is mistaken! Try with "local" or "server".')
    end
end